Descriptive statistics on its own, in an hour.
The measures of central tendency and of spread, what each one hides, and when a mean is the wrong summary — the work that comes before any modelling and decides whether the modelling is worth doing.
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5 hours
Six hours of statistics for data science in one sitting, from descriptive measures through distributions to hypothesis testing.
7 hours
A seven-hour tutorial on probability and statistics for data science, from a Stanford PhD.
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.
1 lesson, about 50 hours
A single session on data science, about 50 hours, published on YouTube by Simplilearn. Watched here on the course page.
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.
