AI for Data Analytics
12 hours
A 12-hour generative AI course from Noble Desktop, taught live in New York or online.
Every course from every provider we track, with the same filters over all of them: level, length, price, certificate and who stands behind it.
160 courses for “Complete SQL for Data Analytics in One Session”
12 hours
A 12-hour generative AI course from Noble Desktop, taught live in New York or online.
28 lessons, about 15 hours
A paid certification from GrowthHackers University: prompting, working with PDFs, images, video and data as inputs, and producing landing pages, video, audio and animation as outputs. The provider states 15 hours across 28 lessons.
New courses, a couple of emails a month. One click unsubscribes.
7 hours
Automotive Engineering Fundamentals
28 lessons, 397 minutes in all, from YouTube.
4 hours
92 lessons, 240 minutes in all, from YouTube.
6 hours
16 lessons, 355 minutes in all, from YouTube.
13 hours
Automotive Testing & Validation
15 lessons, 803 minutes in all, from YouTube.
1 hour
19 lessons, 69 minutes in all, from YouTube.
26 hours
72 lessons, 1541 minutes in all, from YouTube.
2 hours
99 minutes, from CFD Tutorials.
37 hours
29 lessons, 2204 minutes in all.
5 minutes
A 5-minute video from EMBEDDED SYSTEMS DIARY.
32 minutes
A university lecture on evaluating a model: the measures, and what each one hides.
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.
22 minutes
How categorical columns become numbers a model can use, and what goes wrong when they do not.
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.