Generative AI Complete Course
12 hours
Generative AI for Data Science
Twelve hours across the generative AI stack, from the models to what is built with them.
Every course from every provider we track, with the same filters over all of them: level, length, price, certificate and who stands behind it.
222 courses for “Qlik Sense Tutorial: 3.5 Hours of Beginner to Advanced Qlik Sense Training”
12 hours
Generative AI for Data Science
Twelve hours across the generative AI stack, from the models to what is built with them.
2 hours
Two hours of R, taught as what it is: a language built for statistics.
New courses, a couple of emails a month. One click unsubscribes.
2 hours
Two and a quarter hours of R for beginners, taught in Hindi.
5 hours
Five hours of SQL for analytics in one sitting.
10 hours
Ten hours of business analytics, from the statistics through to the dashboards.
24 hours
Twenty-four hours on the business analyst role itself — the process, not only the tooling.
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.
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.
7 hours
Seven hours building neural networks in TensorFlow 2, for people who have not built one before.
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.
5 hours
Six hours of statistics for data science in one sitting, from descriptive measures through distributions to hypothesis testing.
1 lesson, about 2 hours
A single session, about 2 hours, published on YouTube by Flourish. Watched here on the course page.
1 lesson, about 2 hours
A single session, about 2 hours, published on YouTube by Pragmatic Works. Watched here on the course page.
1 lesson, 49 minutes
A single session, 49 minutes, published on YouTube by Intellipaat. Watched here on the course page.