Evolving Applications of Low-Code/No-Code

The LC/NC market is expected to grow 20% in 2023 alone and reach an estimated value of $26.9 billion. This technology has gained popularity in recent years as a means of closing skill gaps and making app and web development more efficient. However, it still lacks the flexibility of custom apps designed more traditionally by skilled developers.

Current applications for LC/NC development sit somewhere between off-the-shelf and custom solutions. How will these applications change in the next few years? Here are some of the areas in which developers can expect to see change.

Robotic Process Automation (RPA)

Robotic Process Automation is one of today’s most common applications for Low-Code/No-Code platforms. LC/NC is a great fit for RPA because it usually requires simplifying something that already exists, such as automating a specific workflow.

Low-Code/No-Code developers already know what they need from an app they want to build, so they can shortcut the process without significant User Experience (UX) design. The LC/NC approaches give new developers the tools to build and integrate a straightforward RPA app in the minimum turnaround time possible.

In the future, LC/NC platforms may include more advanced RPA capabilities, and may be able to integrate data from more sources or handle more tasks in a single app. This particular use case may lean more toward No-Code platforms, since automation will soon be necessary for more jobs. As more people without coding experience will seek the ability to use automation, the demand for RPA-specific No-Code platforms will increase.

Simple Web and App Development

The main apps and tools for which Low-Code/No-Code approaches are currently ideal are typically simple in scope and limited in distribution. Most often, a user develops an app solely for in-house use, for their own personal use, or for a one-time event or conference.

For example, Low-Code/No-Code is commonly used for replacing legacy systems. Digital transformation spending is expected to total $3.4 trillion worldwide by 2026. Businesses must evolve their operations and technology to keep up, but that can be difficult without a large development team. Low-Code/No-Code platforms allow companies to upgrade technologies and workflows without in-house developers.

Low-Code/No-Code development platforms aren’t intended for large-scale applications, nor are they ideal for supporting hundreds of users or managing massive quantities of data. In the future, this could change as the technology becomes more capable. For example, Artificial Intelligence (AI) could make it easier to create complex apps without requiring coding knowledge.

Challenges and Innovations in Low-Code/No-Code

How will the capabilities of Low-Code/No-Code platforms evolve in the future? What new applications are emerging? They will increasingly shift toward zero necessary IT involvement in the development process as AI makes it possible for nearly anyone to create original, customized code.

Generative AI-Powered Coding

Generative AI is changing the game in app and web development. Platforms like ChatGPT are opening the door for anyone to try developing their own app or website with zero prior experience. Users can type in a text prompt explaining what they want, and ChatGPT will do its best to generate code that fits the bill. It can also help debug code that users copy and paste into the prompt window.

Of course, platforms like ChatGPT are not foolproof. They do make mistakes, and users have found flaws and gaps in AI-generated code. As of 2023, ChatGPT-4 excels with small, specific chunks of code but breaks down when asked to write an entire application. It can deliver customized code, but only piecemeal. Developers still need to know what’s required and how it fits with the rest of their apps.

Platforms like ChatGPT could evolve into full-scale app development tools in the future. In many ways, AI is the ultimate Low-Code/No-Code platform. Users type in what they want the code to do and let the AI do the rest. Businesses will likely be able to function with small teams of developers who verify and implement it.

Greater Emphasis on Cybersecurity

One of the pitfalls of today’s Low-Code/No-Code platforms is a minimal ability to customize security features. The lack of visibility into the coding going on behind the scenes simplifies development but blinds developers to potential security risks. Additionally, people with no coding knowledge or experience using LC/NC approaches  may not be aware of important security features they should have or red flags to watch out for.

In the future, Low-Code/No-Code platforms will see more emphasis on cybersecurity. For example, the Online Worldwide Application Security Project (OWASP) has developed a framework of 10 key security protocols for Low-Code/No-Code apps. Developers can use it to learn about important security risks and features and how to address them in their development process.

The security options in Low-Code/No-Code platforms themselves will also grow in the years ahead. The global cost of cybercrime is expected to hit $11.5 trillion in 2023 and more than double that by 2027. There will be more demand for advanced security features as security threats grow. For example, developers might begin including AI threat-monitoring tools.

Clearer Intellectual Property Standards

Intellectual Property rights are a growing concern in coding and development, especially since AI can write functional code. When anyone can automate coding, who is really writing it? Who is the developer of new Low-Code/No-Code apps, and who has the IP rights to these programs and any profits made?

These questions must be resolved as Low-Code/No-Code platforms gain in popularity, particularly in the context of growing geopolitical complications surrounding IP rights. For instance, the war in Ukraine led Russia to implement a 0% license fee on IP content from “unfriendly countries” like the U.S. and European nations.

Code and apps can be subject to IP laws, not just content such as books and movies. Low-Code/No-Code platforms may soon be able to develop apps on the same level of customization and precision a professional developer could deliver, and the industry will need to decide who has the IP rights to these new apps—the people using the platforms, or those who designed them.

How Will Low-Code/No-Code Impact Developers?

Low-Code/No-Code technology’s role in the software development industry is also evolving. Everyone is wondering what the future holds for professional software developers today. The combination of AI and Low-Code/No-Code platforms leads many to wonder if they will become obsolete. While this will not happen anytime soon, the developer role is shifting.

Low-Code/No-Code platforms and AI like ChatGPT are tools, like any other technology. They can help developers do their jobs more efficiently and easily but cannot replace the expertise people can provide.

Resolving the skills shortage is one specific area where Low-Code/No-Code platforms will help developers. Coders and programmers are in high demand in all areas of computer science today.

For example, the shortage of cybersecurity professionals leaves many businesses ill-equipped to handle rising cybercrime rates. Similarly, over 37% of recruiters report struggling to find enough developers with the necessary skills for their businesses’ needs. However, young people continue to show a strong interest in computer science, indicating a growing talent pool.

Demand for software development skills continues to grow faster than the available talent pool can keep up with. Low-Code/No-Code platforms will help businesses fill those shortages. Smaller teams of developers can use them to work more efficiently and operate at the same level as a larger group.

Similarly, developers may not need to do much manual coding in the future. Their roles may shift toward designing, testing, and maintaining apps. Meanwhile, Low-Code/No-Code platforms and AI will do the bulk of the actual code-writing process. As a result, developers will be able to roll out apps faster and with less budget required.

Low-Code/No-Code Is Innovating Software Development

Low-Code/No-Code software development platforms are transforming how new apps, tools, and websites are created. Now anyone can get into software development, regardless of prior coding experience.

Low-Code/No-Code platforms will become more capable in the years ahead thanks to the advanced capabilities of AI models like ChatGPT. IP rights and cybersecurity will become important concerns as adoption grows. Professional developers will remain vital to the industry for the foreseeable future, although their roles will evolve to adapt to Low-Code/No-Code processes.

IoT professionals looking to advance their careers must prove they have the necessary knowledge and abilities and a certificate can help grow a person’s knowledge.

Table of Content:

• Top 8 Internet of Things Certifications
  • CCC Internet Of Things Foundation Certification: Best For Cloud IoT
  • CertNexus Certified Internet Of Things Practitioner: Best For Vendor-Neutral Learning
  • Microsoft Certified Azure IoT Developer: Best For Azure Users
  • Arcitura Certified IoT Architect: Best For Beginners
  • Global Tech Council Certified IoT Expert: Best For Programmers
  • AWS Internet Of Things Foundation Series: Best For Price
  • Stanford Internet Of Things Graduate Certificate: Best For Experts
  • hIOTron’s End-To-End IoT Certification Course: Best For Job Hunting
• Why Should You Get An IoT Certification?
• Bottom Line: Internet of Things Certifications

For more on IoT platforms: Best IoT Platforms & Software

Top 8 Internet of Things Certifications

IoT certifications can provide that proof that a student has the education in IoT for future jobs or improvement with how a company uses IoT.

Here are eight that could help workers impress employers:

1. CCC Internet Of Things Foundation Certification: Best For Cloud IoT

The Cloud Credential Council (CCC) offers one of the most comprehensive, vendor-neutral IoT certifications. The Internet of Things Foundation (IoTF) certification covers six learning modules, including IoT security and governance, architecture, and business use cases. According to the CCC, ideal participants include software engineers, system administrators, and IT architects.

Skills Acquired

The certification can teach many skills based on the path a student decides to use.

This includes:

• Define concepts and terminologies of IoT.
• Examine new devices and interfaces that are driving IoT growth.
• Relate to business perspectives of IoT (advantages of early adoption of IoT technologies).
• Predict the implications of IoT for your business.
• Examine the role of enabling technologies for IoT, such as cloud computing and Big Data.
• Identify security and governance issues with IoT.
• Examine future growth opportunities of IoT in the coming years.

Requirements

This course has no prerequisites, but participants should have a firm grasp of cloud-related concepts and terms.

Duration, Location, And Cost

Length of exam: 60 minutes, 25 questions.
Location: Webcam-proctored online only.
Cost: $349 (Study materials and voucher for exam).

For more on IoT Cloud: Internet of Things (IoT) Cloud Trends

2. CertNexus Certified Internet Of Things Practitioner: Best For Vendor-Neutral Learning

Another comprehensive, vendor-neutral certification is CertNexus’s Certified Internet of Things Practitioner. This course covers six topics, from constructing and programming IoT devices to processing data and identifying real-world use cases. It stands out because it’s accredited under the ANSI/ISO/IEC 17024 standard, a requirement for many government projects.

Skills Acquired

The certification can teach many skills based on the path a student decides to use.

This includes:

• Foundational knowledge.
• Implement IoT systems.
• Design IoT systems.
• Manage an IoT ecosystem.

Requirements

There are no prerequisites, but participants can take a readiness assessment to see if they have the recommended baseline skills and knowledge.

Duration, Location, And Cost

Length of exam: Two hours, 100 questions.
Location: In person at Pearson VUE test centers or online via Pearson OnVUE.
Cost: Exam $250, self-study $450, in-person classes up to $1,500.

3. Microsoft Certified Azure IoT Developer: Best for Azure Users

IoT professionals looking for vendor-specific options should consider Microsoft’s Certified Azure IoT Developer certification. It equips participants to develop, deploy and manage Azure IoT Edge applications. It focuses mainly on programming and implementation, ideal for workers who lead Azure-specific IoT teams.

Skills Acquired

The certification teaches many skills based on Azure IoT.

This includes:

• Set up the Azure IoT Hub solution infrastructure.
• Provision and manage devices.
• Implement IoT Edge.
• Implement business integration.
• Process and manage data.
• Monitor, troubleshoot, and optimize IoT solutions.
• Implement security.

Requirements

Candidates must be able to program in at least one Azure IoT SDK-supported language and understand device types and services.

Duration, Location, And Cost

Length of exam: ~Two hours.
Location: Proctored online (contact for more details).
Cost: Between $2,000-3,000; exam $165.

4. Arcitura Certified IoT Architect: Best For Beginners

Arcitura’s Certified IoT Architect certification includes three IoT courses, covering skills in IoT architecture, radio protocols, telemetry, and real-world use cases. After learning about these concepts in the first two courses, applicants will apply them in lab exercises in the third. Participants can take the exam without completing the coursework but may be unprepared if they skip it.

Skills Acquired

The certification can teach many skills based on the path a student decides to use.

This includes:

• Introduction of Internet of Things (IoT) concepts.
• Terminology and common models.
• IoT technology architecture and solution design.
• IoT communication protocols.
• Telemetry messaging.
• IoT architecture layers.

Requirements

There are no requirements for the certification.

Duration, Location, And Cost

Length of exam: 110 minutes.
Location: On-site Pearson VUE test centers.
Cost: $249.

5. Global Tech Council Certified IoT Expert: Best for Programmers

IoT professionals seeking a more flexible option may find the Global Tech Council’s Certified IoT Expert course appealing. The entirely self-guided course lasts eight hours in total, and lifetime access means applicants can take it at whatever pace they choose. By the end, participants will learn skills in IoT architecture, protocols, cloud and smart grid applications, Arduino and Raspberry Pi, and more.

Skills Acquired

The certification can teach many skills in IoT from software to key components.

This includes:

• IoT Key Components.
• IoT Layer Architecture.
• IoT Middleware.
• Communication and data link protocol.
• Layer protocols.
• IoT Cloud.
• Fog, Edge, and Grid Computing.
• IoT-aided Smart Grid System.
• Introduction to Arduino.
• Raspberry Pi Models.

Requirements

There are no formal prerequisites, but applicants should have basic programming and app development skills.

Duration, Location, And Cost

Length of exam: N/A.
Location: Online.
Cost: $199.

6. AWS Internet Of Things Foundation Series: Best For Price

Amazon Web Services (AWS) is one of the most popular networking service providers globally, so IoT professionals can gain much from understanding it. Consequently, working through AWS’s Internet of Things Foundation Series is an excellent choice for any IoT worker. Professionals can point toward the course as evidence they have experience in AWS IoT applications.

Skills Acquired

The AWS class can teach many skills in IoT.

This includes:

• Telemetry.
• IoT command and control.
• Fleet management.
• Predictive maintenance.

Requirements

Participants should likely have baseline IoT technical knowledge.

Duration, Location, And Cost

Length of class: 9.5 hours.
Location: On the AWS website.
Cost: Free.

For more on IoT: Internet of Things (IoT) Use Cases

7. Stanford Internet Of Things Graduate Certificate: Best For Experts

Another certification that stands out from the others is Stanford University’s Internet of Things Graduate Certificate. This is a graduate school-level program covering four non-credit online courses, and participants can pick from a list of 15. Applicants can show IoT experience from a leading engineering school after receiving a B or higher in the program. Specific takeaways will vary by course, but participants will generally learn about underlying IoT technologies, circuit design, web applications, security, and emerging tech.

Skills Acquired

The certification can teach many skills based on the path a student decides to use.

This includes:

• IoT technologies.
• Circuit design.
• Web applications.
• IoT security.
• Emerging tech.

Requirements

This certificate requires a bachelor’s degree with a GPA of at least 3.0 and advanced knowledge of programming languages.

Duration, Location, And Cost

Length of exam: Three-year course; exam N/A.
Location: Online.
Cost: $16,800-$21,000.

8. hIOTron’s End-To-End IoT Certification Course: Best For Job Hunting

hIOTron’s End-To-End IoT Certification Course is a certification that allows users to teach monitoring, analyzing, and IoT experience. Users will be certified by the course, ensuring that a user has a complete understanding of core IoT needs. This also includes IoT frameworks and architecture with practice for users.

Skills Acquired

The certification can teach many skills based on the path a student decides to use.

This includes:

• IoT device communication.
• IoT industry uses.
• Learn to build the first End-To-End IOT product using Rasp-berry pi devices.
• Hands-on practicals with IoT Gateway.
• Set up MQTT Broker and Node server.
• End-To-End IoT applications.

Requirements

There are no requirements for the certification.

Duration, Location, And Cost

Length of exam: N/A
Location: Online and classroom.
Cost: Upon request.

For more information on the IoT job market: 5 Trends in the Internet of Things (IoT) Job Market

Why Should You Get An IoT Certification?

IoT certifications can help a user demonstrate their understanding of IoT, such as architecture, management, and security. IoT may have not been included in a university course due to the technology being new for many developers. Understanding IoT helps a company’s employees as well as tech experts looking for a job.

Many jobs require at least baseline knowledge of IoT. Some jobs include:

• Data analyst (IoT).
• IoT developer.
• Chief developer.
• IoT application developer.
• Engineering IoT field application engineer.

Bottom Line: Internet of Things Certifications

IoT is a growing industry that is becoming more relevant in the tech field. Certification can help a user to advance, find a great career, and help with further education.

IoT certifications can seem very difficult, however, finding the best one can be easy as the topic grows and changes.

For more on IoT: The Internet of Things (IoT) Software Market

A database job uses several data skills, including how to perform queries, SQL statements, create databases, and run stored procedures on DB2, Oracle, Microsoft SQL Server, and Netezza databases. Database certifications can give a user the ability to use those skills and learn more.

Top 10 Database Certifications: Table of Contents

• Microsoft DP-300 Exam: Administering Relational Databases On Microsoft Azure: Best For Cloud
  
• Google Cloud’s Professional Data Engineer: Best For Machine Learning
  
• MongoDB Database Administrator: Best For Beginners
• Meta Database Engineer Professional Certificate: Best For Applications
  
• Oracle Certified Professional, Oracle Database 19c: Data Guard Administrator Certification: Best For Administrators
• EnterpriseDB’s Postgres Certification Program: Best For Postgres
• IBM Certified Administrator – Db2 12 for z/OS: Best For Advanced Users
• SAP Certified Application Associate, Reporting, Modeling, And Data Acquisition With SAP BW/4HANA 2.X: Best For SAP HANA
• Teradata Vantage Administrator Exam: Best For SQL
• Certified Data Professional (CDP): Best For Variety
  
• Why Should I get a DBA Certification?
  
• Bottom Line: DBA Certifications
  

See more: Database Market

10 Top Database Certifications

These are 10 of the top database certifications you can earn right now, along with the different skills they signal to a recruiter or interviewer:

1. Microsoft DP-300 Exam: Administering Relational Databases On Microsoft Azure: Best For Cloud

The Microsoft DP-300 exam is a baseline accreditation designed to teach the fundamentals of database knowledge. This course is intended to train students in using Microsoft’s cloud computing service Azure, ending in the Microsoft DP-300 exam.

Check out this practice exam!

Skills Acquired

The Microsoft DP-300 Exam: Administering Relational Databases On Microsoft Azure will not only teach about Microsoft Azure. It will also include how to:

• Plan and implement resources.
• Implement a safe database environment.
• Monitor, configure, and optimize database resources.
• Configure and manage automation of tasks.
• Plan and configure a high availability and disaster recovery (HA/DR) environment.

Requirements

There are no prerequisites for the DP-300 exam, but the Azure Fundamentals certification does recommend a user have baseline knowledge that will make the exam easier.

Duration, Location, And Cost

Length of exam: Two hours, 40-60 questions.

Location: The exam can be taken at a remote location or a testing center.

Cost: $165.

Practice tests are also available on Microsoft’s website.

2. Google Cloud’s Professional Data Engineer: Best For Machine Learning

Google Cloud’s Professional Data Engineers allow users to make data-driven decisions by collecting, transforming, and publishing data. With Google Cloud’s Professional Data Engineer certification, a user should be able to leverage, deploy, and continuously train pre-existing machine learning models.

Skills Acquired

The Google Cloud’s certification will teach many skills to whoever completes it, including:

• Design data processing systems.
• Ensure solution quality.
• Operationalize machine learning models.
• Build and operationalize data processing systems.

Requirements

There are no prerequisites, but Google Cloud recommends experience: three years of industry experience and one year of using Google Cloud.

Duration, Location, And Cost

Length of exam: Two hours.

Location: A user can take the online-proctored exam from a remote location or take the onsite-proctored exam at a testing center.

Cost: $200.

Google Cloud’s Professional Data Engineer has a certification guide as well.

3. MongoDB Database Administrator: Best For Beginners

MongoDB is often the go-to database choice for teams that need a NoSQL or non-relational database. It’s not the most commonly used database, but it’s employed frequently enough that database administrators may want a MongoDB certification at some point in their careers.

MongoDB offers two platform-specific certifications, MongoDB Developer and MongoDB Database Administrator, which will be the most relevant for database professionals.

Skills Acquired

The certification will teach many skills to beginners in the field. This includes:

• Covering fundamentals in server and database administration.
• Basic JavaScript.
• Data system programming.
• Database software development.
• Shows the unique advantages of MongoDB. 

Requirements

The Database Administrator course has no prerequisites.

Duration, Location, And Cost

Length of exam: 90 minutes, 60 questions.

Location: A user can take the online-proctored exam.

Cost: $150.

Check out this practice exam!

4. Meta Database Engineer Professional Certificate: Best For Applications

Meta Database Engineer Professional Certification will give students the key skills required to create and manage databases, as well as industry-standard programming languages and software such as SQL, Python, and Django used for supporting outstanding websites and apps like Facebook, Instagram, and more.

Skills Acquired

The Meta certification will teach many skills to whoever completes it, including:

• Demonstrating proficiency in SQL syntax.
• Learn to interact with a database.
• Create databases.
• Learn how to add, manage, and optimize databases.
• Write database-driven applications in Python.
• Develop knowledge of advanced data modeling concepts.

Requirements

There are no requirements.

Duration, Location, And Cost

Length of exam: Self-paced.

Location: A user can take the exam online.

Cost: From $39.99 a month.

5. Oracle Certified Professional, Oracle Database 19c: Data Guard Administrator Certification: Best For Administrators

The Oracle Certified Professional, Oracle Database 19c: Data Guard Administrator certification is for database systems administrators with responsibility for disaster recovery. The certification challenges students on their knowledge and pushes their limits of database skills and increases value in the marketplace.

Skills Acquired

The certification will teach many skills to database administrators. This includes:

• Knowledge of Oracle Data Guard concepts.
• Database configuration.
• Database management.
• Database optimization and monitoring.
• Data protection.
• Disaster recovery. 

Requirements

The student will need to complete one of several Oracle Database courses. 4 to 5 years of Database Administration with 2 to 3 years of Data Guard.

Duration, Location, And Cost

Length of exam: Two hours.

Location: The exam can be taken online or at a Pearson VUE testing center.

Cost: $245.

Check out this practice exam!

For more information: Guide to Database Management

6. EnterpriseDB’s Postgres Certification Program: Best For Postgres

Since Postgres is open source, there are no certificates available directly from the PostgreSQL development team. If a user wants a Postgres certificate, the only option will be a third-party certification program offered by EnterpriseDB.

Skills Acquired

The certification will teach many Postgres skills to whoever completes it. This includes:

• Basics of database administration.
• The specifics of working with Postgres. 
• Benchmarking and replication. 
• Management of high-availability systems.

Requirements

There are no prerequisites for the associate certificate. The professional certification requires the completion of the associate exam.

Duration, Location, And Cost

Length of exam: One hour.

Location: The exam is conducted online.

Cost: $200.

7. IBM Certified Administrator – Db2 12 for z/OS: Best For Advanced Users

An IBM Certified Administrator on IBM Db2 12 for z/OS is the lead database administrator for the Db2 product on the z/OS operating system. When a user completes the certification, this individual is capable of performing intermediate to advanced tasks related to database design and implementation.

Skills Acquired

The certification will teach many skills to advanced users. This includes:

• Database design and implementation.
• Operation and recovery.
• Security and auditing.
• Installation and migration.
• Additional database functionality.

Requirements

It is required for a user to have passed Exam C1000-078: IBM Db2 12 for z/OS Administrator.

Duration, Location, And Cost

Length of exam: 90 minutes, 60 questions.

Location: The exam is conducted online.

Cost: ~$200.

For more: 5 Trends in the Database Job Market

8. SAP Certified Application Associate, Reporting, Modeling, And Data Acquisition With SAP BW/4HANA 2.X: Best For SAP HANA

Certification from SAP can be valuable for professionals working with SAP HANA. The company offers a wide variety of credentials, but only two are directly relevant to SAP HANA.

Skills Acquired

The SAP Certified Application Associate certification will teach the following skills to whoever completes it: 

• Database modeling.
• Data acquisition.
• Query design with SAP HANA.

Requirements

There are no prerequisites for the exam.

Duration, Location, And Cost

Length of exam: 180 minutes, 80 questions.

Location: The exam is conducted online.

Cost: $227 for one attempt; $568 for six attempts.

Check out this practice exam!

9. Teradata Vantage Administrator Exam: Best For SQL

Do you want to learn more about Teradata Vantage and its features, like its advanced SQL engine? Teradata offers a course and exam for DBAs that will teach a user more about Vantage and measure their knowledge.

Skills Acquired

The certification will teach many skills to whoever completes it, including advanced skills in SQL, and the following:

• Advanced SQL Engine.
• Database administration.
• Performance management.
• Security and system logging.
• Workload management.

Requirements

There are no prerequisites for the course or exam. However, Teradata recommends one to three years of hands-on experience with Vantage.

Duration, Location, And Cost

Length of exam: 130 minutes.

Location: The test can be taken remotely or at a Pearson VUE testing location.

Cost: $249.

Check out this practice exam!

10. Certified Data Professional (CDP): Best For Variety 

The CDP is an update of the Certified Data Management Professional (CDMP). This applicable credential from The Institute for the Certification of Computing Professionals (ICCP) allows you to specialize in an area of interest within the data field. 

Skills Acquired

The CDP certification will teach many skills to whoever completes it, including:

• Business analytics.
• Data governance.
• Data integration.
• Data management.
• Data and information quality.
• Data warehousing.
• IT management.

Requirements

Depending on the level of certification a user wants, a user may need to have from 0-5 years of experience in the field.

Duration, Location, And Cost

Length of exam: ~90 minutes.

Location: The test can be taken remotely or at a Pearson VUE testing location.

Cost: From $250-4,500, for more information see here.

For more information: Database Trends

Why Should You Get A DBA Certification?

Database professionals are in high demand right now, particularly those who are familiar with multiple databases. One or more certifications can help database administrators (DBAs) or students demonstrate their experience and stand out from other candidates.

When employers see a DBA certification, the employer might consider a candidate for the following job titles:

• Database manager.
• Data analyst.
• Data scientist.
• Information security analyst.
• Database administrator. 
• Data modeler.
• Software engineer.
• Data specialist.
• Computer programmer.
• Computer systems analyst.
• SQL developer.
• Information systems manager.
• Database developer.
• Computer network architect.

Getting a DBA certification can help a candidate’s resume and the experience they have had. With any job above, an employee can also help a company with their expertise in their field.

For more on job opportunities: Top Companies Hiring for Database Jobs

Bottom Line: Database Certifications

A database certification will show both current and future employers that a worker possesses specific skills, knowledge, and experience. A DBA certification is a great add-on to a resume, and the database skills will help employers find the right candidate.

With a DBA certification, a user can learn more and increase their database skills for a future or current employer.

Successful stakeholder management will give a company a healthy stakeholders project environment – and a major competitive advantage. 

For more information on management: Top 16 Managed Services Providers

How To Work With Stakeholders: Key Tips

Identify All The Stakeholders At The Beginning Of The Project

Identifying stakeholders is a necessary step in working with stakeholders. Stakeholders can include people who work on a project, groups of key people, or possibly even a segment of the entire population. A stakeholder may be affected by the outcome, and can also affect the project’s success. 

Stakeholders can be:

• The project manager, sponsor, and team
• The individual customers
• Outside organizations
• Suppliers and other resources
• Employees
• Unions
• Any position for supporting or preventing project success

Sean K. August, CEO of The August Wealth Management Group says that identifying the stakeholders gives businesses “communication and engagement strategies to meet their specific needs.”

Ensure All The Stakeholders Agree On The Project’s Deliverables And What Their Roles Are

The stakeholders should be involved in decision-making. Make sure stakeholders are aware of what their roles are, and that they agree on the project’s goal. Experts agree that it is necessary to be clear and listen to the stakeholders:

“When it comes to looking after your stakeholders, one mistake managers make is assuming they know what their stakeholders want and expect. But that leads to wasted time, effort, and money, and a group of very unhappy people who will probably speak up about it,” says Nirav Sheh, Anatta, CEO & Founder.

He adds, “So before you make decisions that affect them, ask your stakeholders what they want first. If you’re not able to give them what they want, explain why and offer an alternative.”

Get Consensus On How To Handle Changes To The Project

Changes are guaranteed to happen throughout a project. To continue managing the project with stakeholders, John Elster, CEO at EcomHalo recommends keeping the communication channels open, “To avoid confusion or complacency, keep in regular contact with each stakeholder. Be prepared to make changes as required and keep the stakeholders fully up to date with any diversion from your plan.”

Practice Good Communication

Again, this is something that needs to be defined at the start of the project. The project team must determine the frequency of communication and what it will include. 

Pablo Diaz-Gutierrez, co-owner and CTO of Appfluence advises communication with stakeholders regularly, keeping stakeholders “informed of project progress, changes, and any other relevant information. This helps build trust and ensures they are aware of how their needs are being addressed.”

Common ways to communicate with stakeholders:

• Email and call updates
• Progress reports
• Presentations
• Meetings with various stakeholders
• Surveys
• Online portals
• Content access
• Yearly stakeholder updates
• Members’ events and lunches
• Stakeholder project meetings

Keep The Project Vision Visible

Visibility between stakeholders and the companies they work with is necessary to achieve the best result. If the stakeholders or companies are not aware, managing can be close to impossible.

Jess Rodley, Director of Operations at Dialed Labs notes that, “of course, for this to be successful it requires trust and transparency on both sides. You need to be willing to listen to your stakeholders and take their feedback seriously, even if it’s not what you want to hear. And your stakeholders need to be willing to work together and respect each other’s perspectives, even if they don’t always agree.” 

To keep the project visibility as early as the planning phase, a company needs to communicate with the stakeholders. These topics should be discussed in advance.

What stakeholders, clients, project teams, and top management need to know:

• Objectives
• Goals
• Scope
• Changes
• Expectations

Once the whole project has been discussed with complete transparency, the project will run smoothly.

Engage Stakeholders Throughout The Process

Engagement is required throughout the project, otherwise the project is likely to fail. The company may ask for something, but not have any stakeholder opinions. Engaging stakeholders throughout the project will keep the conversation open for needs and wants.

Simon Bacher, Co-founder and CEO of Ling App says, “Keep stakeholders engaged. Involve them in decision-making processes, seek their feedback, and celebrate milestones together. This can help to build a sense of ownership and commitment among your stakeholders, which can lead to better outcomes for everyone involved.”

Manage Expectations for Stakeholders

Managing expectations is necessary to keep the project on track, ensuring there are no misunderstandings.

“The first step in managing expectations is providing a clear understanding of the full scope of work, as well as clarifying who will be working on each part of the project and any major milestones or deadlines. From there, you need to keep them updated regularly, so that they’re aware of how the project is progressing,” says Logan Mallory, VP at Motivosity.

“Keep a regular schedule for delivering these updates, as that also helps to manage expectations. The more clear you’re able to be about what you can and will deliver, the better you’ll be able to manage stakeholders’ expectations.” 

To avoid confusion regarding expectations, you should:

• Define roles and responsibilities for everyone involved
• Define schedules with the team
• Establish what will be used
• Have a communication plan

Empathize With Other Stakeholders

Having empathy for stakeholders involves looking at the project and seeing it from the stakeholders’ perspective. This helps a company be less defensive over their wants and needs for the project.

Stakeholders’ suggestions should be taken into consideration especially after analyzing their perspectives. If stakeholders suggest a design or action, they may be paying more attention to future and current user activity. The stakeholders and the company are both on the same team, and they both want the best for the project. 

If a company is having trouble empathizing, experts suggest these tips:

• Ask stakeholders questions: Personal or business questions can help connect a positive relationship, even offering more connection through the project.
• Work together: As stated previously, both stakeholders and business partners want the best for their project. Communication and collaboration are necessary throughout the project.
• Consider their needs: Stakeholders are people separate from their jobs. Creating an environment that values each individual can make stakeholders feel respected.

Bottom Line: Stakeholder Management

Managing stakeholders can seem difficult but will make any project easier and more open to communication. 

Being open and transparent to stakeholders is vital. Perhaps most important, listening and following through on stakeholders’ opinions can make managing stakeholders easier than ever before.

A quick LinkedIn search for the job title data scientist shows over 200,000 results. Clearly, there’s a data science talent shortage in 2023 – particularly for those pros who have data science certifications. 

The following list highlights top-tier companies that pay the most, have the best perks, and are well-known as being generally great places to work. If you’re in the job market for a data scientist role, this list of top data science companies should help you narrow your search.

Jump ahead:

• Top Companies Hiring Data Scientist
• What is the Average Salary of a Data Scientist?
• What Should You Consider When Choosing a Company as a Data Scientist?
• How We Selected the Top Companies Hiring Data Scientists
• Working at the Best Companies for Data Scientists

Top Companies Hiring Data Scientists

1. Deloitte

Deloitte is a global professional services leader specializing in several financial and technical implementation solutions. Its core focus includes tax, consulting, audit and assurance, private company services, mergers and acquisitions, risk and financial advisory, analytics, and cloud.

Why Deloitte Is Investing in Data Science

Deloitte is focused on data science goals and embraces a data-driven mindset. It believes in developing a data management plan and changing the organizational mindset to embrace more objective and data-backed decisions.

Positions Available

• Senior data scientist
• Data science consultant
• Junior data scientist

Average Data Scientist Salary at Deloitte

The estimated total pay for a data scientist at Deloitte is $111,439 per year.

Notable Benefits

• Well-being subsidy.
• Thank It Forward recognition program.
• Live well counseling support.
• Student loan refinancing.
• Military leave.

2. Dice

Dice’s tech-focused career marketplace enables direct, meaningful connections between recruiters and technologists. Dice is a DHI brand that provides AI-powered software products and online tools for technology-focused roles.

Why Dice Is Investing in Data Science

Dice is transforming electric grid technology to support smart grids. As a result, the data platform products are being continuously enhanced, and the number of BI solutions is growing rapidly. Additionally, teams are responsible for charting the path for data strategy within their organizations.

Positions Available Include

• Data scientist
• Data scientist UDF (user-defined function)
• Customer relationship management (CRM) and segmentation analyst

Average Data Scientist Salary at Dice

The estimated total pay for a data scientist at Dice is $101,776 per year.

Notable Benefits

• Unlimited holidays with no cap on PTO.
• Health, dental, and vision plans.
• DICE Development, a training and support program to help career progression.

3. PwC Accounting and Professional Services

PwC is a global professional services firm focusing on assurance, advisory, and tax services. Other core areas include cloud and digital; deals; cybersecurity and privacy; governance and boards; risk; transformation; and environmental, social, and governance (ESG).

Why PwC Is Investing in Data Science

PwC aims to advise better companies that face increasing inspections from investors on data privacy, sustainability, and diversity issues. The company strives to consistently deliver innovative work that builds trust and provides sustained outcomes.

Positions Available Include

• Information security
• Management consulting data scientist
• Senior data scientist
• Customer data scientist

Average Data Scientist Salary at PwC 

The estimated total pay for a data scientist at PwC is $117,624 per year.

Notable Benefits

• Sick time that doesn’t count against PTO.
• Health care on-site.
• Stock options.
• Charitable gift matching.
• Fertility assistance.
• Sabbatical.
• Volunteer time off.
• Apprenticeship program.

4. Varsity Tutors

Varsity Tutors is a leading curated platform for live online learning benefiting both learners and experts.

Why Varsity Tutors Is Investing in Data Science

Thousands of students use Varsity Tutors for online Data Science instructors. Varsity Tutors’ mission is to transform the way people learn by leveraging artificial intelligence (AI), advanced technology, and the latest in learning science to personalize the learning experience. 

Positions Available Include 

• Data science expert (remote and various locations)
• GRE quantitative instructor
• JavaScript instructor

Average Data Scientist Salary at Company

According to Glassdoor, the estimated total pay for a data scientist at Varsity Tutors is $142,329 per year.

Notable Benefits

• 52 hours a year of one-on-one tutoring and free classes.
• Access to a health savings account (HSA).
• Ability to work remotely.
• Employee assistance program.
• Maternity and parental leave.

5. KPMG Accounting and Professional Services

KPMG is a team of dedicated problem solvers working in professional firms offering tax and audit services. The group is diverse and composed of dedicated problem solvers connected by a common cause, which includes turning insight into an opportunity for clients and communities in over 150 countries.

Why KPMG Is Investing in Data Science

KPMG applies data science to solve real-world business problems and operationalize AI. 

Positions Available

• Data scientist
• Data scientist, decision analysis (DA) and depreciation, depletion, and amortization (D&A)
• Manager, user experience (UX) data analytics insights designer

Average Data Scientist Salary at KPMG

The estimated total pay for a data scientist at KPMG is $115,835 per year.

Notable Benefits

• Mental health care.
• Performance bonus.
• Charitable gift matching.
• Childcare.
• Fertility assistance.
• Remote work.
• Commuter checks and assistance.
• Gym membership.
• Tuition assistance.

6. Amazon and AWS

Amazon, along with its subsidiary cloud computing company AWS, is one of the most widely recognized companies in the world for e-commerce, supply chain management, cloud, and AI and machine learning development.

Why Amazon Is Investing in Data Science

Amazon works to understand customers’ needs before they search for products. In addition, Amazon focuses on creating careers in areas that are sure to grow in years to come, including healthcare, machine learning, manufacturing, robotics, computer science, and cloud computing.

Positions Available

• Data science leader
• Data science manager
• Data science product manager

Average Data Scientist Salary at Amazon

The estimated pay for a data scientist at Amazon is $188,196 per year.

Notable Benefits

• Climate pledge and sustainability efforts.
• Student programs and internships.
• Upskilling training programs.
• Military apprenticeship.
• Education payment program.

7. Info Way Solutions

Info Way Solutions is an IT service and consulting company focusing on big data solutions, digital transformations, and cybersecurity solutions.

Why Info Way Solutions is Investing in Data Science

Info Way Solutions recognizes the explosion of data from more sources than ever before. Big data analytics offer significant opportunities for intuitive data insights. Its end-to-end services, matched with industry-specific skills and processes, help make data more straightforward to access and understand, accelerate time to capability, and improve data-driven business outcomes.

Positions Available

Average Data Scientist Salary at Info Way Solutions

The estimated total pay for a data scientist at Info Way Solutions is $141,815 per year.

Notable Benefits

• Flexible hours.
• Health insurance.

8. Microsoft Technology 

Microsoft is a global technology leader in software, hardware, gaming, cloud, edge, and digital transformation.

Why Microsoft Is Investing in Data Science

Microsoft’s mission to train “data scientists to tackle problems that really matter” is an understatement in almost every way.

And it is the tagline on the Data Science for Social Good (DSSG) website. A three-month summer program in Chicago, DSSG brings blossoming data scientists from across the country to work on data mining, machine learning, big data, and data science projects.

The Fellows (there are 48 of them) work in small teams on problems whose solutions rely heavily on data. The problem spaces run from education to health to energy to urban infrastructure issues. And by partnering with local governments, nonprofits, and federal agencies, they directly assist policymakers in making critical decisions.

Positions Available

• Principal data scientist
• Data science manager
• Research intern
• Investigative data scientist

Average Data Scientist Salary at Microsoft

The estimated total pay for a data scientist at Microsoft is $185,869 per year.

Notable Benefits

• Neurodiversity hiring program and ability hiring.
• Tuition assistance.
• Online and in-person professional development classes.
• Wellness reimbursement plan.
• Donation and volunteer matching.

9. Capital One Finance and Banking

In a Capital One data scientist role, you’ll be part of a team that employs the most advanced computing and machine learning technologies.

Why Capital One Is Investing in Data Science

As a startup, Capital One upended the credit card industry. It did this using statistical modeling to personalize every credit card offer individually. Indeed, data is at the center of everything this now Fortune 200 company does.

Positions Available

• Senior data scientist, commercial bank
• Senior associate, data scientist (Python developer)
• Manager, data scientist, customer protection data science

Average Data Scientist Salary at Capital One

The estimated total pay for a data scientist at Capital One is $138,222 per year. 

Notable Benefits

• Yearly bonuses.
• Charitable gift matching.
• Equity incentive plan.
• Pension plan.
• Reduced or flexible hours.
• Adoption assistance.
• Dependent care.
• Fertility assistance.
• Unpaid extended leave.
• Volunteer time off.

10. Accenture

Accenture is a global professional services company with leading digital, cloud, and security capabilities. Working for Accenture will provide employees with the opportunity to learn and expand their skills in big data.

Why Accenture is Investing in Data Science

The company is migrating an on-premises data warehouse to a new data and analytics platform. It combines commercial innovation and leading-edge technologies to deliver an integrated, mobile, interactive experience far exceeding expectations. 

Positions Available

• Data platform specialist
• Epic radiant consultant
• Senior marketing data scientist

Average Data Scientist Salary at Accenture

The estimated total pay for a data scientist at Accenture is $119,634.

Notable Benefits

• Free annual flu shots.
• Legal services plan.
• Personal excess liability insurance.
• Identity theft insurance.
• Pet insurance.
• Gym membership discounts.
• An online mall provides discounts on various retail offerings.

Other Companies Hiring for Data Scientists

The following is a chart with additional companies seeking data scientists.

What Is the Average Salary of a Data Scientist?

While the average salary range of a data scientist varies per region, the role is well-paying, with the opportunity to increase earnings as you develop skills.

Let’s take a look at what a few different resources say about the average salary of a data scientist. The pay rates are based on data from 2022 and reference a year’s salary.

According to Glassdoor, the average salary of a data scientist is $88,342 a year. Glassdoor reports the high end of pay to be $143,000 a year, with a low end of $55,000 a year.

Salary.com has comparable wages, ranging from around $60,000–$86,000 a year for an entry-level data scientist. For roles requiring more experience, employees can expect to make anywhere from $240,000–$330,000 a year.

The U.S. Bureau of Labor Statistics lists data scientists’ salaries according to location. For example, if you’re a data scientist in California, you can expect an average wage of $133,000 a year. If you’re working in New Jersey, you can expect to earn around $120,000 a year.

What Should You Consider When Choosing a Company as a Data Scientist?

Choosing what company to work for can take time and effort. As a data scientist or someone looking to break into the field, choosing a company can seem daunting, but it becomes easier with a bit of help.

As with any new role, it’s best to think about what kind of company you want to work for and then go from there. Here are some pointers to get you started:

• Consider getting an education. Companies hiring data scientists want to hire data scientists with certifications under their belt.
• Pick more than one industry to work in. For example, widen your reach by going after tech and finance roles rather than just finance roles.
• Consider what type of company you want to work for. Aside from industry, think about what kind of company you’d like to work for based on employee size and other factors.
• Make a list that details your top 5–10 companies. A list will help you prioritize your needs as well as keep your job search organized.
• Do your research on each company. Go beyond the surface level. If you don’t know anything about the company, it’s likely to become apparent in an interview.
• Be sure to see if their values align with yours. It’s not fun working a job where no one else cares about the values you have.
• Check out their benefits packages. Do they have what you need? It’s also nice to check out benefits that go beyond medical and dental, like student loan repayment help.
• Learn about their upper management. This goes hand-in-hand with researching the company. You’re more likely to get hired if you know your stuff.
• Tailor your résumé to each company. Be sure to have a cover letter and references ready.
• Practice for interviews. Practice answering questions with a friend or in front of a mirror.
• Determine if the company is the right fit. After your first or second interview, you’ll better understand how the company works. Remember, an interview is just as much for you as it is for them.
• Remember that job hunting takes time, so be persistent. Don’t get discouraged after a rejection. Remember that each “no” is one step closer to a “yes.” Stay positive.

How We Selected the Top Companies Hiring Data Scientists 

While researching the top companies hiring data scientists, we want to include those companies that are not only hiring data scientists but are known as the best companies to work for in any industry.

The companies listed are included and ranked based on the number of job openings available on LinkedIn as of January 2023. The companies featured have the most current openings and tend to have employees numbering in the thousands. These are the companies that are sought after by many data scientists already in the field as well as those wanting to make a name for themselves.

Please note that the open positions listed are just a sampling of positions the job has available and that not every benefit a company offers is listed.

Working at the Best Companies for Data Scientists 

Working as a data scientist will help net you a role in various industries. Whether you’re after a job in finance, healthcare, manufacturing, or tech, you’re sure to find an opportunity at one of the above companies to fit your goals. While today’s job market may look bleak, as many companies are laying off their talent, the need for a data scientist will not disappear soon.

Cisco and BCIT are partnering to expand BCIT’s Industrial Network Cybersecurity (INC) Lab to merge cybersecurity and networking skills training to boost interest and talent in the cybersecurity field in Canada and globally, according to Cisco last month.

About 36% of Canadian businesses said they don’t have enough talent to properly take care of their cybersecurity infrastructure, according to a study from Cisco and Angus Reid. Two-thirds of Canadian businesses are also struggling to find digital talent, according to KPMG.

INC Lab aims to create experts who can defend industrial, manufacturing, and critical infrastructure organizations from cyberattacks.

Cisco Canada provided the needed technology for INC Lab, so students can use game-based and real-world scenarios at the site.

The curriculum also includes a Networking Academy that simulates control systems found in industrial facilities.

Cisco’s work with BCIT’s INC Lab is part of Cisco’s Country Digital Acceleration program, which forms partnerships with governments to help build “digitally inclusive societies, more resilient economies, and the workforce of the future.”

The program is already in the works to close the cybersecurity gap with the second cohort graduating in June.

The program’s assistance has allowed 100% of graduates to find jobs or plan to continue their education elsewhere. 

“Resilient future”

The INC Lab program is “a direct response to the industry’s growing need for cybersecurity skills to protect critical infrastructure and keep our communities running,” said David Leversage, program champion, BCIT. 

“There is no other institution in North America that offers this type of immersive experience, and our in-demand graduates can pursue high-paying jobs in one of the hottest job markets.”

Cisco is investing its “resources and expertise to help governments and the public sector fuel digital skills training and secure a pipeline of cybersecurity leaders,” said Shannon Leininger, president, Cisco Canada. 

“Canada relies on these skilled professionals to keep our communities safe and productive, while building toward a more resilient future.” 

Graduates from the INC Lab program provide Charter with “a pipeline of skilled cybersecurity talent to meet the growing needs of Canadian businesses,” said Kelly Michell, president, Charter. 

“We train, grow and mentor INC grads to set them up for a successful career in cybersecurity.”

Recent Cisco activity

Over the past year, Cisco has formed various deals and partnership in different industries, such as:

• Cisco and GDIT aim to provide government agencies with private 5G solutions
• Cisco and Celcom are working together to improve the mobile connectivity experience inMalaysia
• Cisco and McLaren Racing have partnered to help create a network and collaboration infrastructure
• Verizon Business added Cisco’s managed software-defined wide area networking (SD-WAN) services to improve their network strategy and 5G connectivity

The growing cybersecurity market

The global cybersecurity market is projected to grow from $155.83 billion in 2022 to $376.32 billion by 2029, at a compound annual growth rate (CAGR) of 13.4%, according to Future Business Insights. 

Growth in the cybersecurity market is being driven by the internet of things (IoT), artificial intelligence (AI), and cloud security, Future Business Insights reports. The demand for cybersecurity is also growing globally as cyberattacks are more common and sophisticated.

A data science certificate from learning platforms, such as TechRepublic Academy, can help data professionals grow their knowledge and skills in the space.

“If you’re just starting off and have no experience, a certification is a great way to get your foot in the door in a company,” says Dustin Weaver, analytics lead, Atrium in a post at Dice.com.

Here are the top certifications at TechRepublic Academy an IT professional should consider to advance their career in data science:

1. The 2021 All-in-One Data Scientist Mega Bundle 

Skills acquired: Gain an understanding of the complete data analytics life cycle, analytics, data visualization, and data science methodologies; learn to help businesses analyze data and make more informed business decisions; Tableau for data visualization, reporting, and business intelligence (BI); Microsoft Excel.

Requirements: Internet connection

Duration: 141 hours

Location: Online

Cost: $39.99

Overall reviews: 5 out of 5 stars

“Felt the content was very informative and helped me learn to master my data science skills. I would recommend this to my friends, so they can learn to optimize their skills in data science,” reviewer Matthew M. says.

2. The Complete Excel, VBA, and Data Science Certification Training Bundle

Skills acquired: Learn how to use Excel’s basic tools; learn simple sheet manipulation tasks with OpenPyXL; automate simple tasks, including a Google search and navigating menus; avoid errors with waits; types of machine learning (ML) models; the basics of computer programming; manipulate strings to automate the Excel workflow; fundamentals of programming: variables, conditionals, and more with VBA projects; work with logic and lookup functions with hands-on projects.

Requirements: Must have the correct software and internet connection

Duration: 55 hours

Location: Online

Cost: $44.99

Overall reviews: 4.5 out of 5 stars

“The course was easy to get into and is easy to follow along with. There is a practice component that gives hands-on experience, and a reference for later,” review Corrine B. says.

3. The Ultimate Python Programmer & Data Certification Bundle

Skills acquired: Learn to use automation for replacing manual activities at work using Python; scripting in daily life to enhance productivity; implement deep learning (DL) models with PyTorch; identify which visualizations should be applied in any given situation; handle errors that an expert’s functions will generate from time to time; create Python dictionaries to harness and manipulate massive amounts of data; understand how to use functions, classes, files, and tests.

Requirements: Must have the correct software and internet connection

Duration: 33 hours

Location: Online

Cost: $39

Overall reviews: 4 out of 5 stars

“The course is really well-designed. It starts all the way from the beginning and goes complex all the way. I’m learning this course, so I can teach my daughter or at least know what to search for when she needs help,” reviewer Brajeshwar O. says.

4. The Premium Microsoft Excel & Data Certification Bundle

Skills acquired: Learn data cleaning techniques; SAS analysis, statistics interpretation, data management, data analysis, and predictive modeling; make bar charts and scatter plot; the function IFs and SWITCH formula; prepare and process data; dashboard functionalities, like Actions, Navigation, and Parameters; different chart types.

Requirements: Must have the correct software and internet connection

Duration: 90 hours

Location: Online

Cost: $69.99

Overall reviews: 5 out of 5 stars

“This bundle is absolutely and by far the best deal I’ve ever seen. Instructor is also very experienced and transmits knowledge in a complex yet simple way. I will definitely buy more courses,” reviewer Ricardo R. says.

5. The Complete Python Data Science Bundle 

Skills acquired: Learn how to work with data frames and manage data; handle data with hands-on examples; draw statistical insights from data; analyze data at scale and extract insights with Spark transformations and actions; build line charts, bar charts, histograms, pie charts, and other basic visualizations; analyze data from real-world streams; solve basic programming tasks; support vector machines, decision trees, and random forests using real datasets; streamline building and evaluating models with TensorFlow’s estimator API.

Requirements: Must have the correct software and internet connection

Duration: 36 hours

Location: Online

Cost: $37

Overall reviews: 5 out of 5 stars

“Excellent courses on these important topics, such as tools and data science,” review Christos S. says.

6. Machine Learning & Data Science Certification Training Bundle

Skills acquired: Learn commonly used techniques, visualization methods, and ML, DL techniques that are implemented for time-series data; harness the power of R for practical data science; apply deep neural networks (DNN), convolution neural networks (CNN), and recurrent neural networks (RNN) to real-life data for classification and regression applications; statistical modeling with Tensorflow; Tensorflow installation and other Python data science packages; Tensorflow and Keras installation.

Requirements: Must have the correct software and internet connection

Duration: 48.5 hours

Location: Online

Cost: $35

Overall reviews: 4.5 out of 5 stars

7. The Deep Learning & Data Analysis Certification Bundle

Skills acquired: Learn commonly used techniques, visualization methods, and ML, DL techniques that can be used for time-series data; apply these frameworks to real-life data, including temporal stocks, financial data classification, and regression applications; Jupyter notebooks for implementing data science techniques; Python data science environment; implement DL models with PyTorch; work with real data within the framework; add data to Google Data Studio (GDS).

Requirements: Must have the correct software and internet connection

Duration: 30 hours

Location: Online

Cost: $39.99

Overall reviews: 4.5 out of 5 stars

“Good starting point to learn the data analysis and get a look into the tools being used,” says a reviewer.

Jobs for data science certifications 

There are many reasons to get a data science certificate based on what a professional wants. The data science certificate can benefit a job candidate looking for a career shift or an opportunity for an expert looking to increase their knowledge.

These are some of the job positions that can benefit from data science certifications:

• Data scientist
• Data analyst
• Data engineer
• Data architect
• Business intelligence developer
• Database administrator

How to use TechRepublic Academy

1. A student will add the course or bundle to their cart
2. They will click “checkout”
3. A student will be allowed to create an account or check out as a guest
4. Click next to enter payment information
5. Click “complete payment” and enter the billing and shipping addresses
6. Receive a confirmation email and based on account or guest, follow the following directions:

As a guest:

1. They will locate their Order Confirmation email and click on “Redeem Your Purchases.”
2. Confirm or edit the email address the student would like to register with Stackskills. 
3. Confirm the student’s new Stackskills account using the email address entered in Step 2. 
4. Finish creating the Stackskills account. 

As an account holder:

1. A student redeeming their purchase must navigate to the “your Purchases” tab. Once there, they can locate the order. 
2. Confirm or edit the email address the student wants associated with the Stackskills account. 
3. Confirm the new Stackskills account via the registered email address. 
4. Finish creating the Stackskills account. 

Conclusions

Some of the key skills a data scientist needs are statistical analysis, the ability to process large data sets, and knowledge of big data. Data science certificates through TechRepublic Academy can assist data pros in learning these skills.

“Now we have decades of data and know there are some great insights in there, but we can’t surface them — that’s where the hotness for data science comes in today,” says Dustin Weaver, analytics lead, Atrium at Dice.com.

Each data science course and certification at TechRepublic Academy offers different skills, and a candidate can review this guide to decide which one is best for them and their goals in data science.

Data storage careers are also set to produce 18,200 jobs by 2028, according to Zippia.

With a job requiring specific skills such as a basic understanding of data storage, hardware, architecture, performance issues, capacity planning, and other skills, an expert must educate themselves for a company’s needs.

With certification to push these skills further, a professional can be even stronger in their craft. Individuals with certificates voted 73% that their work was more effective, 23% had a raise in pay, and 86% of hiring managers said it was a high-value tool. 

Here are the 10 top certifications a data storage expert should consider to advance their career in data storage:

See more: The Backup Storage Market

1. Cisco Certified Internetwork Expert (CCIE) Data Center

Skills Acquired: Network (25%), computer (25%), storage network (20%), automation (15%), and security (15%) 

Requirements: Applicants should have five to seven years of experience in the design, deployment, operation, and optimization of data center solutions (optional)

Duration: five-day training course and three days of self-paced learning material and time for hands-on practice

Location: Online

Cost: $400 qualifying exam fee; $1,900 lab exam fee; $1,500 Cisco e-learning training course

2. Hitachi Vantara Qualified Professional Storage Administration

Skills Acquired: Command Suite fundamentals, use of Hitachi Device Manager, advanced storage management operations, multi-pathing and load balancing, troubleshooting, HCS 8.5.x and SVOS 7.x

Requirements: Experience with Hitachi storage systems (recommended)

Duration: Training platforms vary

Location: Online

Cost: $100 exam, training classes vary.

3. Microsoft Azure Data Engineering Associate (DP-203) Professional Certificate

Skills Acquired: Design and implement data storage (40—45%); design and develop data processing (25—30%); design and implement data security (10—15%); monitor and optimize data storage and data processing (10—15%)

Requirements: Knowledge of data processing languages, such as SQL, Python, or Scala, and understanding of parallel processing and data architecture patterns

Duration: Estimated 13 months

Location: Online

Cost: exam $165; class on Coursera $59/month

4. Pure Storage Certifications – Certified Data Storage Associate

Skills Acquired: Block storage, cloud, cloud deployment, containers, data protection, disaster recovery, ECMP, encryption, Ethernet, Fibre Channel, FSPF, hosts, iSCSI, networking, Pure Storage, ransomware mitigation, ransomware prevention, replication technology, servers, storage, and virtualization.

Requirements: Demonstrate six or more months of industry experience, Have six or more months of experience with Pure Storage, either on its own or with other vendor solutions, and complete the recommended training (optional)

Duration: six months

Location: online

Cost: Exam $129, class and training class costs vary

5. VMware Certified Professional, Data Center Virtualization

Skills Acquired: implement, manage, and troubleshoot a vSphere infrastructure, using practices to provide a secure foundation for business agility that can accelerate the transformation to cloud computing.

Requirements: System administration experience on Microsoft Windows or Linux operating systems

Duration: 32 hours

Location: Options of a classroom, live online, vFlex-ILT, and onsite learning environment

Cost: exam $125, class prices vary.

See more: How Storage Software is Used by the BP, Whole Foods, Thai Airways, Micro Strategies, DoJ, Fortune, and UConn: Case Studies

6. HPE ASE – Storage Solutions V4

Skills Acquired: Differentiate and apply enterprise storage architectures and technologies; identify enterprise storage and backup opportunities; plan, design, and size the right HPE Storage Solution; design, identify, and recommend HPE Storage Enterprise and Backup Solutions.

Requirements: IT professional with at least one to three years of experience in storage technology

Duration: Option of a five-day intensive training course or online study materials, two-hour exam

Location: Option of virtual or in-person

Cost: classes from $4,000 – $8,000, study guide $60,  exam cost

7. AWS Certified Solutions Architect – Professional

Skills Acquired: Design for organizational complexity (12.5%); design for new solutions (31%); migration planning (15%); cost control (12.5%); continuous improvement (29%)

Requirements: At least two years of experience with AWS cloud architecture deployment

Duration: Three-day virtual or in-person training course, 180-minute exam

Location: Online

Cost: $300 exam fee. Training costs vary

8. NetApp Certified Data Administrator (NCDA)

Skills Acquired: Storage platforms; Core ONTAP; logical storage; networking; SAN solutions and connectivity; network attached storage (NAS) solutions; data protection; security and performance.

Requirements: recommended six months to a year of practical experience in implementing and managing NetApp data storage solutions (optional)

Duration: E-learning and self-paced study materials vary on time; 90-minute exam

Location: Online

Cost: $150 exam fee additional training costs vary

9. Dell EMC-Associate–Information Storage and Management Version 5.0  (DCA-ISM)

Skills Acquired: Modern data center infrastructure (18%); storage systems (23%); storage networking technologies (19%); backup, archive, and replication (24%); security and management (16%)

Requirements: Must pass the following Associate level exam DEA-1TT5 Associate – Information Storage and Management Exam

Duration: Dependent on study time; 90-minute exam

Location: On-demand, classroom, and virtual classes available; exam online 

Cost: Class prices vary; exam $230

10. IBM Certified Solution Advisor – Spectrum Storage V7

Skills Acquired: Be able to know Spectrum Control, Spectrum Virtualize, Spectrum Protect, Spectrum Archive, Spectrum Scale, Cloud Object Storage, Spectrum Protect Plus, Spectrum Discover, Cloud Paks, Copy Data Management, Storage Insights, and high-level storage solutions that are integrated with existing systems and aligned with business needs, and communicate high-level design scenarios to the customer.

Requirements:  Must pass Exam C1000-117: IBM Spectrum Storage Solution Advisor V7; have experience with IT organization structures; know IT storage standards; have knowledge of storage offerings and capabilities, cloud, network, storage fundamentals, IBM Spectrum Storage products, and IBM Systems Storage solutions

Duration: Class times and training vary; 90-minute exam

Location: Options of in-person classes or virtual; exam online

Cost: $200 exam fee; training price varies.

See more: Data Storage Q&A with Dan Kogan at Pure Storage

Data storage careers are expected to grow 5% in the U.S. from 2018 to 2028 and produce 18,200 job opportunities, according to Zippia.

See below to learn all about the top companies looking to fill jobs related to data storage and a sampling of their current openings:

See more: Top Data Storage Companies

1. IBM

Armonk, New York-based IBM is a leader in computing and storage solutions. They continue to grow and change in the storage space, with a variety of products and services in their storage portfolio.

IBM believes employees should apply their intelligence, reason, and science to increase business productivity. IBM won the Best Career Growth Award by Comparably.

Storage job openings

• Storage software sales specialist (U.S.)
• Commercial storage specialist (U.S.)
• zOS/MVS storage specialist (Japan)

Benefits

• Health care, dental, vision choices
• Prescription drug, behavioral health, life, and disability benefits
• Health savings account (HSA)
• Paid time off (PTO)
• Mental health assistance
• Express service for traveling mothers
• Adoption and surrogacy assistance program
• Special care for children assistance services
• Human resources (HR) benefits
• 401k plan
• Employee stock purchase plan (ESPP)

2. Hewlett Packard Enterprise (HPE)

The portfolio of Spring, Texas-based Hewlett Packard Enterprise (HPE) includes solutions for data storage.

HPE is ranked 19th in the  list of “Top Companies to Work For” by Fortune in 2022, and HPE has an 87% approval rating from their employees. 

Storage job openings

• Storage and backup consultant (India)
• Storage pre-sales (U.S.)
• Storage category manager (U.S.)

Benefits

• Life insurance, accident insurance, and disability insurance
• Medical, dental, and vision plans
• Health Savings Account (HSA)
• PTO
• On-site fitness centers
• Subscription to Headspace
• Parental leave
• Concierge specialist helps book vacations, help at home, and find the perfect gift
• Adoption and surrogacy assistance
• Employee stock purchase plan (ESPP)
• 401k match

3. Amazon Web Services (AWS)

Seattle-based Amazon Web Services (AWS), part of parent company Amazon, large cloud computing portfolio includes a focus on data storage.

Employees also rate AWS 4.5 out of 5 stars at Glassdoor, and Amazon received “World’s Best Employers” by Forbes. 

Storage job openings

• Front-end engineer, AWS storage gateway (U.S.)
• Storage solutions architect, energy accounts, WWSO storage (U.S.)
• Solutions architect, storage (U.S.)

Benefits

• Medical, dental, and vision plans
• Company-paid basic life and accidental death insurance
• Company-paid short-term and long-term disability
• Free Employee Assistance Program
• PTO
• The Amazon Career Choice Program
  • pre-pays 95% of the cost of tuition, textbooks, and related fees
• Adoption assistance
• Fully paid maternity and parental leave options 
• Online resources for parents whose children struggle with developmental disabilities
• Flexible spending accounts for employees and dependents
• 401k plan
• Restricted stock units (RSU)

4. Dell Technologies

Round Rock, Texas-based Dell Technologies’ broad technology portfolio features various data storage offerings, and the company is a leader in the storage market.

Employees give Dell 4 out of 5 stars for work environment at Indeed, and they were recognized as “Best Places to Work” by DEI.

Storage job openings

• Systems engineer unstructured data solutions (U.S.)
• Software principal engineer/data engineer (U.S.)
• Storage inside associate system engineer (Japan)

Benefits

• Vision, health, disability, pet, dental, and accidental death and dismemberment insurance
• Health savings account (HSA) 
• On-site clinic
• PTO
• Employee assistance program
• Gym on-site
• Maternity and paternity leave
• On-site mothers’ room
• Fertility and adoption assistance
• Financial and retirement
• 401k plan
• Pet-friendly workplace

5. NetApp

San Jose-based NetApp is a hybrid cloud data services and data management company with a focus on data storage.

At NetApp, 77% of employees rate the company as a great place to work, according to Great Place to Work. 

Storage job openings

• Storage support engineer metrocluster (Germany)
• Technical support engineer, storage (Ireland)
• Software engineer (data protection) (U.S.)

Benefits

• Health, life, pet, vision, disability, and accidental death and dismemberment insurance
• Health savings account (HSA)
• Wellness programs
• Commuter benefits
• PTO
• Family medical leave
• Tuition reimbursement
• Backup child and elder care
• Flexible work schedule
• 401k plan
• Diversity program

See more: Top 10 Data Storage Certifications

6. Veritas

Santa Clara, California-based Veritas is a multicloud data management company with various data storage offerings.

At Veritas, 82% of employees would recommend the company as an employer, according to Glassdoor. 

Storage job openings

• Data engineer (U.S.)
• Data privacy operations manager (U.K.)
• Technical support engineer (U.S.)

Benefits

• Dental, vision, health, and life insurance
• Health savings account (HSA)
• Work from home policy
• Gym reimbursements
• Tuition reimbursement
• Maternity and paternity leave
• PTO
• 401K plan

7. Oracle

Austin, Texas-based Oracle features data storage as part of its large Oracle Cloud Infrastructure (OCI) portfolio.

Oracle was named one of the “Best Workplaces for Innovators” by Fast Company. Oracle was also listed as “World’s Best Employers” by Forbes.

Storage job openings

• Senior technical support engineer (IC3), Solaris cluster/storage drivers, connectivity (India)
• Senior product manager, storage (U.S.)
• Principal kernel-level storage management (U.S.)

Benefits

• Life and accidental death and dismemberment, health, vision, dental, and legal insurance
• Health saving account (HSA)
• Gender-affirming benefits
• Employee assistance program (EAP)
• Wellthy (mental health program)
• Reimbursement for student loans and refinancing
• Adoption and surrogacy assistance
• Maternity and paternity leave
• Bereavement leave
• 401K plan
• Employee stock purchase plan (ESPP)
• PTO

8. Western Digital

San Jose-based Western Digital is a leading data storage manufacturer.

Western Digital was recognized as one of the “World’s Most Ethical Companies” by Ethisphere. 

Storage job openings

• Senior director, HDD product management,  storage-as-a-service (U.S.)
• Director, information technology storage operations (India)
• Senior manager of data science (Thailand)

Benefits

• Health, life, disability, dental, and vision Insurance
• Health Savings Account (HSA)
• On-site clinic
• Gym on-site
• PTO
• Employee assistance program
• On-site mothers’ room
• Maternity leave and paternity leave
• Tuition reimbursement
• Employee Stock Purchase Program (ESPP)
• 401k plan

9. Fujitsu

Tokyo-based Fujitsu Limited is an information and communications technology equipment and services corporation, including data storage technology.

Fujitsu was recognized as one of the “Top 50 Employers for Women” by Times and “Top 100 LGBT-Inclusive Employers” by Stonewall. 

Storage job openings

• System administrator,  hybrid IT, schwerpunkt storage/SAN (Germany)
• European product manager, online storage (U.K.)
• Technical trainer for server and storage solutions (Germany)

Benefits

• Medical, dental, vision, and prescription drug coverage
• Life insurance
• Disability programs
• PTO and holidays
• Education reimbursement
• Employee assistance program (EAP)
• Legal assistance
• Financial security plan
• 401k plan

10. Lenovo

The large technology portfolio by Beijing-based Lenovo features enterprise-grade data storage solutions.

Lenovo was named the winner of the “Most Innovative Tech Company of the Year – More Than 2,500 Employees” by the Stevie Awards. 

Storage job openings

• Storage development engineer (U.S.)
• Solution architect, storage and servers (U.S.)
• EMEA premier storage engineer, EPS (Slovakia)

Benefits

• Medical, prescription drugs, dental, life, and vision insurance
• Health Savings Account (HSA)
• Disability assistance
• Two dental checkups per year
• Annual eye exam
• Employee assistance program (EAP)
• Mental health support
• Bright Horizons (child and elder care)
  • Available 24/7 to all U.S. employees
  • Back-up short-term and emergency child/elder care
• Video tutoring
• Legal assistance
• Commuter benefits
• Lenovo Savings Plan 401k

For more: The Data Storage Job Market

Data storage roles are expected to grow 5% across the U.S. from 2018 to 2028, creating  18,200 job opportunities across, according to Zippia.

See below to learn about the data storage job market:

See more: Top Data Storage Companies

Data storage market

The data storage market was estimated to be valued at $58.4 billion in 2021 and is projected to reach $128.94 billion by 2030, at a compound annual growth rate (CAGR) of 8.2% from 2022 to 2030, according to Verified Market Research.

Geographically, growth in the data recovery market is being driven the most in North America, followed closely by Europe and Asia-Pacific. 

Industry-wise, several sectors are driving demand for data storage:  banking, financial services, and insurance (BFSI); IT; telecom; government; and health care.

Data storage job types

A variety of roles in data engineering, data administration, and IT are tied to data storage, according to Zippia:

• Systems engineer: Design storage-area-network solutions, generates and oversees systems related to production and manufacturing of company products, addresses needs, and creates plans to fix any technical difficulties
• Storage engineer: facilitates and leads the processes of data storage and plan storage strategies
• Storage administrator: manages the storage platform and solves any problems, such as security breaches and installation of storage systems, and retrieval of data and information
• Storage specialist: manages storage infrastructure, creates reports, provides technical guidance to staff, optimizes storage infrastructure to achieve the best results, and addresses critical issues
• Storage consultant: knows all types of storage hardware and software available and their benefits and advises solutions

Data storage education

A total of 55.5% of data storage pros have a bachelor’s degree and 6.7% have master’s degrees, according to Zippia.

However, it is possible to achieve a storage-related position with a high school education or certificate alone.

Recommended bachelor’s degrees are computer science, engineering, information security, cybersecurity, and software development. The master’s degrees recommended are data science and cloud computing.

Certificates

• Hitachi Vantara Qualified Professional Storage Administration
• NetApp Certified Data Administrator (NCDA), ONTAP
• Dell Technologies Certified Associate, Information Storage and Management v5
• HPE Master ASE: Storage Solutions Architect v3

For more: Top 10 Data Storage Certifications

Data storage job openings

There are thousands of positions tied to data storage that are listed at various job sites, including:

• 40,000 jobs at LinkedIn 
• 97,000 jobs at Indeed 
• 162,000 jobs at ZipRecruiter 

Many top technology companies are hiring for roles related to data storage roles, including:

IBM

• Storage software sales specialist
• Commercial storage specialist
• zOS/MVS storage specialist

HPE

• Storage and backup consultant
• Storage pre-sales
• Storage category manager

AWS

• Front-end engineer, AWS storage gateway
• Storage solutions architect, energy accounts, WWSO Storage
• Solutions architect, storage

Data storage salaries

The table below shows the estimated median annual salaries for a selection of data storage positions, according to Glassdoor:

Conclusions

The fast-growing field of data storage is creating job opportunities across the tech industry. Several specialized data storage roles focus on different phases and types of storage, from a storage engineer leading storage processes to a storage consultant being responsible to advise on solutions. Leading tech players are among the many organizations looking to fill jobs in data storage, as companies work to better store and manage their growing data volumes. 

See more: Top 10 Companies Hiring for Data Storage Jobs