Top Data Science Courses for 2026

It’s no question that finishing a top Data Science course boosts your earning potential compared to non-certified peers. Having globally recognised credentials from industry leaders such as Microsoft and BCS will make you stand out.

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 2026, but first, let’s explore why having a Data Science certification is important.

Why do Data Science certifications matter in 2026?

Data certification matters simply because more and more companies are finding data more valuable. Data is even dubbed the “new oil” because it enables smarter decision-making and reveals team and operational performance.

Aside from this, data also supports efficient problem-solving, identifies process improvements to save time/money, and provides deep insights into customers, markets, and competitors.

Having a Data certification makes you stand out from other candidates, especially if you are trying to break into tech. Firebrand's accelerated courses get you certified in days rather than months, empowering you to deliver immediate business value for your current or future employer.

Now, let’s take a look at the top certifications in Data Science you can use to upskill and boost your CV.

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.

Who it's for:

• Beginners entering data analytics roles
• Professionals needing vendor-neutral data skills
• Anyone preparing for advanced data science certifications

What you'll learn:

• Data mining, analysis, and visualisation techniques
• Data governance, quality control, and security practices
• Applying data insights across different tech stacks
  
  

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

No conversation about Data Science is complete without mentioning AI. This Microsoft Azure AI Engineer Associate course is ideal for those with knowledge of Microsoft Azure, REST-based APIs, and either C# or Python 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 and become certified.

Who it's for:

• Azure users with API and C#/Python experience
• Developers transitioning to AI engineering
• Professionals building intelligent applications

What you'll learn:

• Implementing Cognitive Services and Azure AI solutions
• Processing speech, video, text, and language understanding
• Building, managing, and deploying conversational bots
  
  

3. BCS Practitioner Certificate in Data Management Essentials

Similar to the CompTIA course described at number 1, this course created by BCS, the British Computer Society, blends knowledge and hands-on practice to help you develop crucial data management skills.

In just two days, this BCS Practitioner Certificate in Data Management Essentials course helps you understand what is required for the administration of data and databases, how to develop business data procedures, how to employ data analysis and privacy, security and recovery procedures, and much more. Upon passing your exam, you also receive a free one-year Professional BCS Membership and, what's more, there are no prerequisites to attend.

Who it's for:

• Data administrators and database managers
• Business analysts handling data procedures
• Beginners with no prerequisites

What you'll learn:

• Data administration and database management
• Business data procedures and privacy/security
• Data analysis, recovery procedures (+1-year BCS membership)
  
  

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

At number 4, let's take a look at the Microsoft Azure Data Scientist Associate, also known as DP-100. Due to the prevalence of Microsoft tech stacks across all sectors, this Azure Data Scientist certification is a must if you're in the ecosystem.

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.

Who it's for:

• Azure users with AZ-900 fundamentals knowledge
• Data scientists working in Microsoft ecosystems
• Professionals building ML models in the cloud
• Those who have technical knowledge equivalent to the Microsoft Azure Fundamentals certification (AZ-900)

What you'll learn:

• Designing data science solutions on Azure
• Feature engineering, model training, and deployment
• Running experiments and interpreting ML models
  
  

5. CompTIA DataX

If you have expert-level Data Science skills, CompTIA DataX is a vendor-neutral certification that can validate them at an international level.

Introduced in 2024, this course covers Modeling, Analysis, and Operations, as well as applying Machine Learning (ML) models and Deep Learning (DL) concepts. The course also delves into mathematical and statistical methods, including statistical modelling, linear algebra, and calculus.

At Firebrand, this CompTIA Data X course is taught in a technology-neutral manner that makes it applicable to various tech stacks. There are no official prerequisites to attend this accelerated course; however, to make the most of it, we recommend you have at least 5 years of experience in Data Science or similar roles.

Who it's for:

• Expert data scientists (5+ years experience recommended)
• Professionals validating advanced ML/DL skills
• Tech leaders needing vendor-neutral advanced certs

What you'll learn:

• Advanced modeling, analysis, and ML/DL applications
• Statistical modeling, linear algebra, and calculus
• Technology-neutral data science across tech stacks
  
  

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

Formerly known as Microsoft Data Analyst Associate (exam code DA-100), after 2021, this Microsoft Power BI Data Analyst Associate 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!

Who it's for:

• Data analysts working with cloud data sources
• Professionals using relational/non-relational data
• Business intelligence report creators

What you'll learn:

• Building scalable data models with Power BI
• Data cleaning, transformation, and advanced analytics
• Creating interactive dashboards and visual insights
  
  

7. Microsoft: Prepare and Visualize Data with Microsoft Power BI (DP-605)

If you need to be certified for Power BI but would prefer a more specialised, hands-on course, instead of taking PL-300, discussed above, you could focus on building dynamic reports with DP-605.

The course helps you understand how to gather data from various cloud systems and create dynamic dashboards to monitor key business metrics and produce insightful data analysis. This course covers key Power BI concepts as well as an introduction to end-to-end analytics using Microsoft Fabric and using Copilot to create interactive reports.

This course is designed for intermediate-level Data Analysts, but can also be taken by other professionals wishing to refine this skillset. The course does not have an exam.

Who it's for:

• Intermediate data analysts focusing on Power BI
• Professionals creating dynamic business dashboards
• Teams monitoring key business metrics

What you'll learn:

• Gathering data from multiple cloud systems
• Building dynamic reports and interactive dashboards
• End-to-end analytics with Microsoft Fabric and Copilot
  
  

8. Microsoft Certified: Fabric Data Engineer Associate (DP-700)

This course replaced the Microsoft DP-203 (Azure Data Engineer Associate), which retired last year. DP-700 focuses on Microsoft Fabric, shifting from the pure Azure Synapse platform of DP-203 to a unified AI-powered analytics platform.

The Microsoft Certified: Fabric Data Engineer Associate course teaches you to design and develop effective data loading patterns, data architectures, and orchestration processes. You'll also delve into building Lakehouses and Data Warehouses, using Data Factory pipelines, Spark, KQL, and implementing Real-Time, as well as security and governance issues. If you want to certify your skills in using Microsoft Fabric for enterprise-scale data analytics, this is the course for you.

Who it's for:

• Data engineers with SQL, PySpark, or KQL knowledge
• Professionals migrating from DP-203 to Fabric
• Enterprise-scale data architecture specialists

What you'll learn:

• Designing data loading patterns and architectures
• Building Lakehouses, Data Warehouses, and pipelines
• Real-time analytics, security, and governance
  
  

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.

Who it's for:

• Excel users wanting advanced analytics skills
• Professionals creating executive dashboards
• Teams needing geospatial and statistical analysis

What you'll learn:

• PivotTables, Power Pivot, and advanced Excel analytics
• Creating geospatial visualisations and dashboards
• Statistical analysis and professional reporting (+digital badge)
  
  

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 Microsoft Azure Data Fundamentals 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 intensive, one-day 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.

Who it's for:

• Cloud professionals new to Azure data concepts
• Beginners exploring relational/non-relational data
• Teams entering cloud data analytics
• Those who are interested in working with data in the cloud 

What you'll learn:

• Core data concepts and Azure data services
• Relational vs non-relational data fundamentals
• Data analytics workloads and Azure implementation
  
  

Data Courses Frequently Asked Questions

➤ What is the best data science course for complete beginners?

CompTIA Data+ and Microsoft Azure Data Fundamentals (DP-900) are ideal starting points. Both courses are vendor-neutral or Azure-focused introductions that require no prior technical experience and cover core data concepts.

➤ Which course should Azure users take first?

Start with Microsoft Certified: Azure Data Fundamentals (DP-900), then progress to Azure Data Scientist Associate (DP-100) or AI Engineer Associate (AI-102). These build progressively on Azure data services and ML capabilities.

➤ Do I need programming experience for these courses?

No programming is required for CompTIA Data+, BCS Data Management Essentials, or Excel Data Analysis courses. Azure AI-102 and DP-100 recommend C#/Python familiarity, while advanced courses like CompTIA DataX expect 5+ years of data science experience.

➤ What are the best vendor-neutral data science certifications?

CompTIA Data+ and CompTIA DataX provide globally recognised, technology-neutral credentials. BCS Practitioner Certificate in Data Management Essentials is also vendor-neutral and includes BCS professional membership benefits.

➤ How long do these courses typically take at Firebrand?

Most courses are accelerated: BCS Data Management (2 days), Azure Data Fundamentals (1 day), Power BI courses (3-5 days). Advanced certifications like Fabric Data Engineer (DP-700) typically run 4-5 days.

➤ Which course is best for Power BI specialists?

Microsoft Power BI Data Analyst Associate (PL-300) is the industry standard certification. For hands-on dashboard building, choose DP-605 (Prepare and Visualize Data with Power BI).

➤ Can teams take these courses together?

Yes, Firebrand offers group training and partnership programs. Contact Firebrand through the course pages to arrange custom team training schedules and certification pathways.
 

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