Every course from every provider we track, with the same filters over all of them: level, length, price, certificate and who stands behind it.
94 courses for “D3 JS - Build Data Driven Visualizations with Javascript [svg animation, data engineering]”
58 minutes
58 minutes, from The Engineering Mindset.
15 minutes
A 15-minute video from Mentored Engineer.
New courses, a couple of emails a month. One click unsubscribes.
3 minutes
A 3-minute video from Edoreal Engineering.
12 minutes
A 12-minute video from ADANE TEACHð.
16 hours
83 lessons, 950 minutes in all.
3 hours
40 lessons, 159 minutes in all.
2 minutes
A 2-minute video from Math and Engineering with Dr. A.
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.
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.
13 hours
Sixteen lessons on turning raw columns into the features a model can use.
12 hours
Eleven hours on the big data stack, from what the term means to the tools that do the work.
