Every course from every provider we track, with the same filters over all of them: level, length, price, certificate and who stands behind it.
597 courses for “React for Beginners: Build an App, and Learn the Fundamentals”
19 hours
Nineteen hours across SQL, Tableau, Power BI, Python, Excel and pandas — the analyst toolset in one course.
4 hours
Four hours of data analysis in Python: NumPy, pandas, Matplotlib and Seaborn.
New courses, a couple of emails a month. One click unsubscribes.
9 hours
Nine hours of React, taught step by step.
5 hours
Five hours of React for somebody who has never written any.
9 hours
Nine hours of React in one course, from the first component to a finished application.
10 hours
Generative AI for Data Science
Nine and a half hours explaining generative AI for somebody starting from nothing.
23 hours
Generative AI for Data Science
Twenty-two hours on generative AI — the longest of these, and the most thorough.
2 hours
Two and a quarter hours of R for beginners, taught in Hindi.
3 hours
Eleven lessons on MySQL, from the first SELECT to the joins and aggregates an analyst uses daily.
10 hours
Ten hours of business analysis from the beginning, for somebody with no background in it.
24 hours
Twenty-four hours of business analytics: the statistics, the tools and the reporting.
12 hours
Eleven hours on the big data stack, from what the term means to the tools that do the work.
1 hour
A live session working one real dataset end to end, from first look to engineered features.
2 hours
Exploratory Data Analysis (EDA)
Two and a quarter hours of exploratory data analysis in Python, taught in Hindi.
3 hours
Exploratory Data Analysis (EDA)
Three hours on looking at a dataset properly before modelling it, and on the features built from what you find.
4 hours
Three and a half hours of OpenCV in Python, from reading an image to detecting faces.
9 hours
Eight and a half hours on deep learning, from neural networks to the frameworks that train them.
10 hours
Ten hours of deep learning from Edureka, from the neural network up.
7 hours
A seven-hour tutorial on probability and statistics for data science, from a Stanford PhD.
7 hours
Twenty-seven lessons on statistics for data analysis and data science, taught in Hindi.
