Every course from every provider we track, with the same filters over all of them: level, length, price, certificate and who stands behind it.
263 courses for “Complete Excel Tutorial for Data Analysis in 4 Hours (with FREE Files)”
5 minutes
A 5-minute video from EMBEDDED SYSTEMS DIARY.
33 hours
66 lessons, 2000 minutes in all.
New courses, a couple of emails a month. One click unsubscribes.
15 minutes
A 15-minute video from Mentored Engineer.
4 hours
10 lessons, 237 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
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 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.
9 hours
Nine hours of React, taught step by step.
5 hours
Five hours of React for somebody who has never written any.
