Learn Python — Full Course for Beginners
4 hours
Four and a half hours of Python from nothing, the course most people start with.
Every course from every provider we track, with the same filters over all of them: level, length, price, certificate and who stands behind it.
122 courses for “Mechanics of Materials — Full Series”
4 hours
Four and a half hours of Python from nothing, the course most people start with.
3 hours
Nearly three hours on time series: the components, the models, and the forecasts built from them.
New courses, a couple of emails a month. One click unsubscribes.
2 hours
An hour and a half of forecasting in Python, for somebody who has not done it before.
10 hours
Ten hours of data mining: the techniques, the algorithms and what each is for.
12 hours
Eleven hours of statistics and probability for data science, from first principles.
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.
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.
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.
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.
10 hours
Ten hours of deep learning from Edureka, from the neural network up.
1 lesson, about 2 hours
A single session, about 2 hours, published on YouTube by Pragmatic Works. Watched here on the course page.