Business Analytics in 24 Hours
24 hours
Twenty-four hours of business analytics: the statistics, the tools and the reporting.
Every course from every provider we track, with the same filters over all of them: level, length, price, certificate and who stands behind it.
215 courses for “Growth Hacks and Growth Hacking Tutorials”
24 hours
Twenty-four hours of business analytics: the statistics, the tools and the reporting.
1 hour
A live session working one real dataset end to end, from first look to engineered features.
New courses, a couple of emails a month. One click unsubscribes.
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.
37 lessons, about 8 hours
A 37-lesson playlist on UX/UI design, about 8 hours, published on YouTube by Mizko. Watched here on the course page.
7 lessons, about 1 hour
A 7-lesson playlist on UX/UI design, 54 minutes, published on YouTube by Figma. 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.