Data analysis course: the 10 best in 2026

Best for career switchers who want a long, structured bootcamp. It covers Python with pandas and NumPy, statistics and hypothesis testing, feature engineering, exploratory data analysis, SQL Server and Power BI with DAX, and closes with capstone projects that take data from cleaning to finished reports.

It has 4.5 stars from more than 22,000 reviews and over 129,000 students, with 391 downloadable resources and more than 88 hours of video, the longest course in this ranking. It was updated in January 2026.

Best for analysts heading towards machine learning. After Python, pandas, NumPy and visualisation with Matplotlib and Seaborn, it goes deep into scikit-learn, neural networks and TensorFlow, with projects such as heart disease detection, a bulldozer price predictor and a dog breed image classifier.

It has 4.7 stars from more than 31,000 reviews and over 172,000 students, with more than 43 hours of video, last updated in February 2026. It offers two learning tracks, so programmers can skip the Python basics.

Best for beginners who want SQL, Tableau, Power BI and Excel in one shorter course. It teaches SQL queries in MySQL Workbench up to joins and subqueries, dashboards in Tableau and Power BI, Excel formulas and pivot tables, basic statistics and how to use ChatGPT to help write SQL.

It has 4.6 stars from more than 7,000 reviews and over 42,000 students, with more than 14 hours of video, 51 downloadable resources and an update in July 2026. Of the multi-tool courses here, it is the quickest to finish.

Best for learning Python from zero with a business case. You play a data analytics intern at a ski shop, tracking inventory, pricing and sales while you learn variables, data types, loops, functions, dictionaries and how to manipulate Excel workbooks with the openpyxl package.

It holds 4.7 stars from more than 2,400 reviews and over 15,000 students, with more than 11 hours of video and 48 quizzes and exercises. It was updated in October 2026.

Best for Excel users ready to build proper data models. It teaches Power Query to import and clean data, the basics of database design and relationships, and Power Pivot with DAX functions such as CALCULATE, FILTER and SUMX to analyse millions of rows inside Excel.

It has 4.7 stars from more than 29,000 reviews and over 138,000 students, with about seven hours of video, updated in June 2026. It is the natural follow-up to the pivot table course and a gentle bridge to Power BI, which uses the same tools.

Best for Excel users who want a quick upgrade in analysis. The course covers pivot tables and pivot charts in depth, from layouts and calculated fields to slicers, timelines and interactive dashboards, then applies them to case studies such as shark attack records, baseball statistics and IMDb ratings.

At about six and a half hours it is the shortest course in the ranking, with 4.7 stars from more than 78,000 reviews and over 294,000 students. It was updated in June 2026.

Best for building dashboards and BI reports. You play a business intelligence analyst for the fictional AdventureWorks Cycles and follow the real workflow: shaping data with Power Query, building a star-schema data model, writing DAX measures and designing interactive reports.

It is the most reviewed course here, with more than 197,000 reviews at 4.6 stars and over 811,000 students, and it was updated in September 2026. Expect more than 16 hours of video and homework assignments, on Windows only.

Best for anyone who wants one long course covering every analyst tool plus machine learning. It moves from data analysis fundamentals to Python, statistics and hypothesis testing, SQL with MySQL, Power BI, Excel, machine learning, deep learning with TensorFlow and generative AI.

It has the highest rating on the list, 4.8 stars, but from a smaller base of more than 5,300 reviews and 12,000 students. It is also one of the longest at more than 65 hours, with 154 exercises, two practice tests and 11 capstone projects, from a bank churn analysis to an HR data project.

Best for spreadsheet users moving to Python. The whole course is about pandas: sorting, filtering, grouping, pivoting, merging, cleaning and visualising data, worked through dozens of included datasets. It was re-recorded for the release of pandas 3.

It holds 4.7 stars from more than 26,000 reviews, with over 229,000 students and an update in October 2026. It has more than 17 hours of video and 41 quizzes and exercises, and it expects you to know Excel functions and basic Python before you start.