Every course from every provider we track, with the same filters over all of them: level, length, price, certificate and who stands behind it.
560 courses for “Data Analytics Full Course 2026 | Introduction to Excel, Power BI & Python | Simplilearn”
18 minutes
A 18-minute video from IIT KANPUR-NPTEL.
44 minutes
A 44-minute video from Jim Pytel.
New courses, a couple of emails a month. One click unsubscribes.
6 minutes
A 6-minute video from NPTEL-NOC IITM.
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.
45 minutes
Forty-five minutes of scikit-learn, from fitting a model to scoring it.
55 minutes
Building a working e-commerce data pipeline, start to finish, with Snowflake and dbt.
3 hours
Nearly three hours on time series: the components, the models, and the forecasts built from them.
2 hours
An hour and a half of forecasting in Python, for somebody who has not done it before.
2 hours
Two and a half hours on decision trees — how one is built, and how it is read.
4 hours
Three and a half hours on clustering: k-means, hierarchical methods, and choosing between them.
10 hours
Ten hours of data mining: the techniques, the algorithms and what each is for.
