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.
184 courses for “Business Analytics in 24 Hours”
12 hours
A 12-hour generative AI course from Noble Desktop, taught live in New York or online.
12 hours
A 12-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.
18 hours
An 18-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.
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.
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.
9 hours
Nine hours of React in one course, from the first component to a finished application.
10 hours
Generative AI for Data Science
Nine and a half hours explaining generative AI for somebody starting from nothing.