Every course from every provider we track, with the same filters over all of them: level, length, price, certificate and who stands behind it.
113 courses for “Data Analyst Bootcamp for Beginners”
12 hours
A 12-hour generative AI course from Noble Desktop, taught live in New York or online.
282 hours
A 282-hour generative AI course from Noble Desktop, taught live in New York or online.
New courses, a couple of emails a month. One click unsubscribes.
264 hours
A 264-hour generative AI course from Noble Desktop, taught live in New York or online.
420 hours
A 420-hour generative AI course from Noble Desktop, taught live in New York or online.
300 hours
A 300-hour generative AI course from Noble Desktop, taught live in New York or online.
300 hours
A 300-hour generative AI course from Noble Desktop, taught live in New York or online.
60 hours
A 60-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.
41 minutes
Connected & Software-Defined Vehicles
8 lessons, 41 minutes in all, from YouTube.
2 hours
99 minutes, from CFD Tutorials.
1 hour
12 lessons, 83 minutes in all, from YanalTech.
2 hours
13 lessons, 97 minutes in all, from ADASH.
15 minutes
A 15-minute video from Mentored Engineer.
5 hours
Five hours on MLOps: getting a model out of a notebook and keeping it running.
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
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.
