The Complete Mechatronics Course From Zero to Industry Ready Engineer
5 minutes
A 5-minute video from EMBEDDED SYSTEMS DIARY.
Every course from every provider we track, with the same filters over all of them: level, length, price, certificate and who stands behind it.
236 courses for “Looker Studio (formerly Google Data Studio) FREE complete tutorial (2026) for marketers”
5 minutes
A 5-minute video from EMBEDDED SYSTEMS DIARY.
2 minutes
A 2-minute video from The Learning Studio.
New courses, a couple of emails a month. One click unsubscribes.
3 minutes
A 3-minute video from The Learning Studio.
15 minutes
A 15-minute video from Mentored Engineer.
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.
12 hours
Generative AI for Data Science
Twelve hours across the generative AI stack, from the models to what is built with them.
2 hours
Two hours of R, taught as what it is: a language built for statistics.
5 hours
Five hours of SQL for analytics in one sitting.
3 hours
Eleven lessons on MySQL, from the first SELECT to the joins and aggregates an analyst uses daily.
12 hours
Eleven hours on the big data stack, from what the term means to the tools that do the work.