Every course from every provider we track, with the same filters over all of them: level, length, price, certificate and who stands behind it.
62 courses for “MySQL for Data Analysis”
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.
2 hours
13 lessons, 97 minutes in all, from ADASH.
33 hours
66 lessons, 2000 minutes in all.
15 minutes
A 15-minute video from Mentored Engineer.
4 hours
10 lessons, 237 minutes in all.
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.
10 hours
Ten hours of business analysis from the beginning, for somebody with no background in it.
12 hours
Eleven hours on the big data stack, from what the term means to the tools that do the work.
2 hours
Exploratory Data Analysis (EDA)
Two and a quarter hours of exploratory data analysis in Python, taught in Hindi.
