Every course from every provider we track, with the same filters over all of them: level, length, price, certificate and who stands behind it.
336 courses for “Blockchain Full Course 2026 | Blockchain Tutorial For Beginners | Blockchain Course”
6 minutes
A 6-minute video from NPTEL-NOC IITM.
15 minutes
A 15-minute video from Mentored Engineer.
New courses, a couple of emails a month. One click unsubscribes.
41 minutes
A 41-minute video from Technocraft Academy.
53 hours
29 lessons, 3164 minutes in all.
5 hours
Five hours on MLOps: getting a model out of a notebook and keeping it running.
12 hours
Twelve hours of Python, taught by building rather than by explaining.
12 hours
Twelve hours of Python for beginners, taken slowly enough to follow along.
4 hours
Four and a half hours of Python from nothing, the course most people start with.
45 minutes
Forty-five minutes of scikit-learn, from fitting a model to scoring it.
10 hours
Ten hours of data mining: the techniques, the algorithms and what each is for.
12 minutes
Natural Language Processing (NLP)
Twelve minutes on what natural language processing is and how it came to work.
12 hours
Eleven hours of statistics and probability for data science, from first principles.
19 hours
Nineteen hours across SQL, Tableau, Power BI, Python, Excel and pandas — the analyst toolset in one course.
5 hours
Five hours on analysing data in Python, from loading a file to a finished chart.
4 hours
Four hours of data analysis in Python: NumPy, pandas, Matplotlib and Seaborn.
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.
23 hours
Generative AI for Data Science
Twenty-two hours on generative AI — the longest of these, and the most thorough.
12 hours
Generative AI for Data Science
Twelve hours across the generative AI stack, from the models to what is built with them.
