Top Data courses for 2025

According to a recent LinkedIn report, job postings for roles involving AI have surged by 119% over the past two years, whilst, in the case of Data Engineering, this increase has been 98%.

Could a career in Data be for you? Let's take a look at the top Data courses to add to your CV in 2025.

1. CompTIA Data+

The Data+ certification designed by the Computing Technology Industry Association, also known as CompTIA, is an excellent starting point for anyone wishing to be certified in Data.

This comprehensive course helps you develop the skills to manipulate data to drive informed decision-making for your employer. The course encompasses 5 modules, from Data Concepts and Environments, Data Mining, and Data Analysis, to Visualisation and Data Governance, Quality, and Controls, and is also vendor-neutral, which means that you can apply what you learn on any tech stack you may encounter at work.

Passing your official Data+ certification exam can then help you explore more specific Data Science qualifications, such as the second and third ones on our list. See the full course spec.

2. Microsoft Azure AI Engineer Associate (AI-102)

In 2025, no conversation about Data Science is complete without mentioning AI. This widely recognised and respected course is ideal for those with knowledge of Microsoft Azure, C#, Python, JSON, and REST, and who would like to step into the fascinating world of AI engineering.

This course teaches you to implement solutions that use Cognitive Services and Bots in Microsoft Azure; by the end of the course, you will learn to create, manage, and deploy an Azure AI service, process speech, videos, and text, build and manage a language understanding model, build a conversational bot, and more, and you'll be able to pass Microsoft's official AI-102 exam: Designing and Implementing a Microsoft Azure AI Solution.

Interested? Find out more.

3. ISACA Data Science Fundamentals

Similar to the CompTIA course outlined at number 1, this course created by ISACA blends knowledge and hands-on practice to develop baseline data skills.

In just one day, this course helps you understand various types of data, common statistical methods, KPIs, data management systems, data governance, and other essential concepts. This course includes online training labs on Data Visualization, Databases, and Data Cleansing, and takes only one day to complete. What's more, there are no prerequisites to attend. Find out more.

4. Microsoft Azure Data Scientist Associate (Exam DP-100)

At number 4, let's take a look at the Microsoft Azure Data Scientist Associate, also known as DP-100. Microsoft has been at the forefront of innovation for decades; Microsoft tech stacks are used in all sectors, so this Azure Data Scientist certification is a must if you're using them.

This intensive course teaches you to design and implement Data Science solutions on Microsoft Azure. You will learn to refine your data modelling and feature engineering skills, as well as apply Azure's Machine Learning methods to manipulate and analyse key data.

Study modules include No-Code Machine Learning with Designer, Computing Contexts, Training, Deploying, and Interpreting Models, Running Experiments, and more.

Before taking this course, you should have technical knowledge equivalent to the Microsoft Azure Fundamentals certification (AZ-900). Access the course spec.

5. EMC Data Science Associate (EMCDSA)

If you have a solid understanding of statistics, experience with a scripting language such as Java, Perl, Python or R, and experience with SQL, the Data Science Associate course created by EMC could be ideal for you.

At Firebrand, this five-day course helps you develop the skills you need to participate in your employer's big data and analytics projects by studying Big Data Analytics, the Data Analytics Lifecycle, Data Analytics methods Using R, and Advanced Analytics Tools and Techniques using MapReduce, Hadoop, and more.

At Firebrand, we approach this course in a technology-neutral manner that makes it applicable to various tech stacks, enabling you to contribute to your team right away. 

The course is ideal for anyone who wants to understand Data Science, including Business Intelligence Managers, Data and Database Professionals, and Business and Data Analysts.

At the end of the course, you will be able to take the official Proven™ Professional Data Scientist Associate (EMCDSA) certification exam to attest your skills. Find out more.

6. Microsoft Power BI Data Analyst Associate (PL-300)

Formerly known as Microsoft Data Analyst Associate (exam code DA-100), after 2021 this Microsoft course was renamed to reflect its focus on Power BI. 

Microsoft Power BI is an excellent tool that turns unrelated sources of data into coherent, visually immersive, and interactive insights. By taking this course, you'll learn to boost the value of your employer's big data—you will design and build scalable data models, clean and transform data, enable advanced analytics, and more.

This course is ideal for professionals who know how to work with relational and non-relational data in the cloud as well as core concepts about data analysis and visualisation.

At Firebrand, we were awarded the Microsoft Solutions Partner for Business Applications and Data & AI badges in recognition of our expertise, so your training is in good hands! Find out more.

7. Google Cloud Certified: Professional Data Engineer

No course list would be complete without mentioning Google Cloud Certified: Professional Data Engineer, a thorough course that teaches you to build secure, compliant, and flexible data processing systems.

The course focuses on Google's proprietary Google Cloud Platform (GCP) and takes you through Compute and Storage Fundamentals, Data Analytics on the Cloud, Machine Learning, Integrating Dataproc with Google Cloud Platform, BigQuery, Dataflow, Tensorflow, CloudML, Streaming analytics, sample case studies, and more.

The course has no formal prerequisites, but Google recommends you have at least three years of industry experience, including one or more of designing and managing solutions using GCP, to make the most out of this course.

At the end of your course, you can sit the official exam and achieve your Google Cloud certification. Find out more.

8. Microsoft Azure Data Engineer Associate (DP-203)

Next on our list, one of our most popular at Firebrand: the Microsoft Azure Data Engineer Associate.

This course teaches you to implement, manage, design, build, monitor, and deploy data solutions on Microsoft Azure, working with Cloud DBAs, Admins, and Solutions Architects to implement these solutions into your business. If you want to certify your skills as an Azure Data Engineer, this is the course for you.

The course is suited to those with knowledge in data processing languages such as SQL, Python, or Scala, parallel processing, and data architecture patterns. Upon completion, you can take the official Microsoft DP-203 exam to attest your new skills. See the full course spec.

9. Logical Operations: Data Analysis and Visualisation with Microsoft Excel

If you have a foundational knowledge of Microsoft Excel and want to bring your skills to the next level, this course could be just what you need.

Developed by Logical Operations, the Data Analysis and Visualisation with Microsoft Excel course helps you learn to draw rich insights from data and communicate this in visually compelling ways using Microsoft Excel.

This intensive course takes you through the fundamentals of Data Analysis in Excel, including PivotTables and Dashboards, creating geospatial visualisations, performing statistical analysis, using Power Pivot to model and analyse data, and presenting insights with Reports. 

Upon completing this course, you will receive a digital badge. Find out more.

10. Microsoft Certified Azure Data Fundamentals (DP-900)

Finally, at number 10, an excellent course that can enhance your knowledge of Microsoft Azure in the world of data: the Microsoft Certified: Azure Data Fundamentals course, also known as DP-900.

This intensive one-day course is aimed at professionals familiar with the concepts of relational and non-relational data, as well as different types of data workloads, such as transactional or analytical.

This course takes you through the official Microsoft modules, from exploring core data concepts to the fundamentals of relational and non-relational data in Azure and the fundamentals of data analytics itself. At the end of this course, you’ll be able to sit the DP-900 exam and become Microsoft certified.

If you're interested in working with data in the cloud, this course is ideal for you. See the full spec.

Achieve your Data certification with Firebrand 

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