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Where teams start
Most Popular Data & Analytics Courses
Training Managers usually assign CompTIA Data+ (DA0-002) first: it is beginner-friendly and gives analysts and ops staff one method for cleaning, querying, and reporting on data. Analysts then move to PL-300; engineers to DP-600 or AWS DEA-C01.
PL-300
Kick off your Power BI journey and prepare for the PL-300 Power BI Data Analyst certification. This entry-level PL-300 training walks you through connecting, cleaning, and shaping data before turning it into simple, powerful charts and dashboards using Power Query and DAX. You’ll build skills in data modeling, report design, and workspace management with clear, practical examples. Reinforce your learning with unlimited PL-300 practice exams to make sure you have the best shot at acing the exam. If you’re ready to work smarter with data and earn your first Power BI cert, this expert-led course is the perfect place to start.
John Munjoma
AWS Certified Data Engineer - Associate
This AWS Certified Data Engineer - Associate training teaches you to design, build, and manage scalable, secure data pipelines on AWS. Master powerful tools like S3, Glue, Redshift, and Lambda, and develop the cloud skills companies need to optimize data workflows, ensure security, and achieve compliance. This course is perfect as DEA-C01 exam prep, or as a training resource for data professionals who want to verify their data engineering skills.
Scott Pletcher
CompTIA Data+
This CompTIA Data+ certification training is a perfect data analyst course for beginners. With unlimited practice exams included, this course helps you build skills in organizing information, spotting patterns, and turning data into strategic insights. Starting with the basics of how modern data analysts gather, clean, analyze, and explain data, this Data+ certification training covers common data sources, basic statistics, and visual reporting. It also shows how AI for data analytics is evolving the role, how to work with data responsibly, and how to follow data compliance expectations. Data science expert Jonathan Barrios keeps the course practical and job-relevant, helping you learn data analytics skills you can use right away as you study for the Data+ v2 (DA0-002) exam.
Jonathan Barrios
Microsoft Fabric Analytics Engineer (DP-600)
Microsoft Fabric rollouts stall or create risk when nobody owns tenant settings, capacity, workspace creation, or data export controls. This DP-600 course gives IT Directors a structured way to prepare the people who will administer Fabric and build the analytics that run on it, so governance and performance are decided before rollout instead of after an incident. Built for analytics engineers, Power BI specialists, BI administrators, and senior data practitioners, the course covers Fabric licensing and the admin portal, security and governance controls such as sensitivity labels and sharing settings, and operational readiness topics like outage notifications, item recovery, and capacity usage. It then moves through getting and transforming data with Dataflows Gen2, querying warehouse data, and creating, modeling, and optimizing semantic models with DAX. At 9.3 hours across 11 skills, the course can be assigned over a few focused weeks while production work continues. Training Managers can pair it with CBT Nuggets Playlists, Practice Exams, and Team Reporting to sequence the path, support DP-600 readiness, and track completion across the team.
Knox Hutchinson
Capability ladder
Data & Analytics Courses by Level
The most popular Data & Analytics courses at each level — from first steps for new team members through expert tracks.
Fundamentals
2 coursesAssociate
4 coursesRecently added
Newest Releases
The latest Data & Analytics training added to the catalog — new courses land here within a day of publication.
Frequently asked questions about Data & Analytics training
Common questions IT directors ask when evaluating Data & Analytics training for their team.
Which roles and experience levels does the Data & Analytics path cover?
CompTIA Data+ and ISACA Data Science Fundamentals suit beginners, from Excel-based analysts to ops staff taking on reporting. PL-300 fits analysts with about a year of analytics experience, and DP-600 targets analytics engineers and BI administrators. AWS DEA-C01 is for data engineers, cloud engineers, and DBAs with several years of data experience.
Which certifications can an IT Director prepare the team for with these courses?
The path prepares learners for CompTIA Data+ (DA0-002), Microsoft Power BI Data Analyst Associate (PL-300), Microsoft Fabric Analytics Engineer Associate (DP-600), AWS Certified Data Engineer – Associate (DEA-C01), and ISACA Data Science Fundamentals. The vendor issues each certification; CBT Nuggets prepares the learner for it.
How should a Training Manager sequence this path across a mixed data team?
Start everyone on CompTIA Data+ or ISACA Data Science Fundamentals so the team shares one approach to data quality and governance. Then route report builders to PL-300, Fabric administrators and analytics engineers to DP-600, and pipeline engineers to AWS DEA-C01. Add Programming for Data Science for staff moving from spreadsheets to Python.
How does this training reduce governance and compliance risk?
Governance appears at every level: PII handling and data governance in ISACA Data Science Fundamentals, privacy and compliance in Data+, workspace controls and content security in PL-300, tenant settings and sensitivity labels in DP-600, and security and governance for AWS pipelines in DEA-C01. That gives auditors a consistent, explainable standard across roles.
Is there hands-on practice beyond watching videos?
Yes. Programming for Data Science walks learners through setting up Anaconda, Jupyter, and Git/GitHub, so Team Leads can standardize environments across the group. ISACA Data Science Fundamentals explains its Python examples in Google Colab notebooks so non-developers can work through them.
How much time per learner should we plan, and how is progress tracked?
Time varies by course and role; for example, PL-300 runs about 8.6 hours across 11 skills, and most learners finish in two to three weeks alongside regular work. Team reporting shows per-learner progress and completion, cohort and group views, and completion exports for audit evidence.