Every course from every provider we track, with the same filters over all of them: level, length, price, certificate and who stands behind it.
201 courses for “AI for Business with ChatGPT and Copilot”
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.
New courses, a couple of emails a month. One click unsubscribes.
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.
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.
24 hours
Forty-four lessons covering the statistics behind machine learning, from sampling to hypothesis testing and interview questions.
7 hours
Thirty-two lessons building real games in PyGame, from drawing a shape on screen to sprite animation and a finished platformer.
1 lesson, about 3 hours
A single session, about 3 hours, published on YouTube by Simon Sez IT. Watched here on the course page.
9 lessons, about 7 hours
A 9-lesson playlist on Power BI, about 7 hours, published on YouTube by Microsoft Power BI. Watched here on the course page.
1 lesson, about 16 hours
A single session on blockchain & cryptocurrency, about 16 hours, published on YouTube by freeCodeCamp.org. Watched here on the course page.
1 lesson, about 7 hours
A single session on devops, about 7 hours, published on YouTube by Simplilearn. Watched here on the course page.
1 lesson, 18 minutes
A single session on generative ai, 18 minutes, published on YouTube by Henrik Kniberg. Watched here on the course page.
1 lesson, about 15 hours
Fifteen hours on network penetration testing from the ground up: setting up a lab, the tooling, and each stage of an engagement against a network you are allowed to test.
1 lesson, about 12 hours
Twelve hours of practical ethical hacking: reconnaissance, scanning, exploitation and post-exploitation, worked through against deliberately vulnerable targets.
1 lesson, about 5 hours
Five hours on the vocabulary and the fundamentals, aimed at somebody who needs the terminology of IT security before anything else makes sense.
1 lesson, about 8 hours
Eight hours covering cyber security end to end: the threat landscape, cryptography, network and application defence, and the certifications the field hires against.
