Every course from every provider we track, with the same filters over all of them: level, length, price, certificate and who stands behind it.
339 courses for “Complete Networking Tutorial for Beginners to Advanced 2026 | Deep dive for Cyber security”
15 minutes
A 15-minute video from Mentored Engineer.
5 hours
Five hours on MLOps: getting a model out of a notebook and keeping it running.
New courses, a couple of emails a month. One click unsubscribes.
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.
3 hours
Nearly three hours on time series: the components, the models, and the forecasts built from them.
10 hours
Ten hours of data mining: the techniques, the algorithms and what each is for.
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.
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.
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.
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 analysis from the beginning, for somebody with no background in it.
12 hours
Eleven hours on the big data stack, from what the term means to the tools that do the work.
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.
