Three and a half hours on clustering: k-means, hierarchical methods, and choosing between them.
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1 lesson, about 9 hours
A single session on data science, about 9 hours, published on YouTube by Intellipaat. Watched here on the course page.
1 lesson, about 6 hours
A single session on data science, about 6 hours, published on YouTube by freeCodeCamp.org. Watched here on the course page.
1 lesson, about 10 hours
A single session on data science, about 10 hours, published on YouTube by edureka!. Watched here on the course page.
1 lesson, about 12 hours
A single session on data science, about 12 hours, published on YouTube by freeCodeCamp.org. Watched here on the course page.
12 hours
A 12-hour generative AI course from Noble Desktop, taught live in New York or online.
1 lesson, about 3 hours
A single session, about 3 hours, published on YouTube by Porter Metrics. Watched here on the course page.
24 hours
Twenty-four hours of business analytics: the statistics, the tools and the reporting.
10 hours
Ten hours of data mining: the techniques, the algorithms and what each is for.
2 hours
Two and a half hours on decision trees — how one is built, and how it is read.
