Every course from every provider we track, with the same filters over all of them: level, length, price, certificate and who stands behind it.
157 courses for “Introduction to Fluid Power Systems (Full Lecture)”
44 minutes
A 44-minute video from Jim Pytel.
6 minutes
A 6-minute video from NPTEL-NOC IITM.
New courses, a couple of emails a month. One click unsubscribes.
31 minutes
A 31-minute video from Technocraft Academy.
4 hours
10 lessons, 237 minutes in all.
41 minutes
A 41-minute video from Technocraft Academy.
12 minutes
A 12-minute video from ADANE TEACHð.
2 minutes
A 2-minute video from Math and Engineering with Dr. A.
53 hours
29 lessons, 3164 minutes in all.
5 hours
Five hours on MLOps: getting a model out of a notebook and keeping it running.
12 hours
Twelve hours of Python, taught by building rather than by explaining.
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.
32 minutes
A university lecture on evaluating a model: the measures, and what each one hides.
10 hours
Ten hours of data mining: the techniques, the algorithms and what each is for.
13 minutes
What machine learning is, explained without the mathematics, in thirteen minutes.
17 minutes
Sample spaces, events and the basic rules of probability, in seventeen minutes.
12 hours
Eleven hours of statistics and probability for data science, from first principles.
19 hours
Nineteen hours across SQL, Tableau, Power BI, Python, Excel and pandas — the analyst toolset in one course.
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.
