Every course from every provider we track, with the same filters over all of them: level, length, price, certificate and who stands behind it.
358 courses for “Learn Data Science Tutorial - Full Course for Beginners”
1 minutes
A 1-minute video from Ansys Learning.
5 minutes
A 5-minute video from EMBEDDED SYSTEMS DIARY.
New courses, a couple of emails a month. One click unsubscribes.
44 minutes
A 44-minute video from Jim Pytel.
6 minutes
A 6-minute video from NPTEL-NOC IITM.
15 minutes
A 15-minute video from Mentored Engineer.
41 minutes
A 41-minute video from Technocraft Academy.
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.
55 minutes
Confusion matrices, precision, recall and ROC curves, worked through in scikit-learn.
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
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.
12 minutes
Natural Language Processing (NLP)
Twelve minutes on what natural language processing is and how it came to work.
12 hours
Eleven hours of statistics and probability for data science, from first principles.
