A single long tutorial covering probability and statistics as a data scientist meets them.
It runs from the vocabulary — populations, samples, variables — through probability, distributions and inference, at the pace of a taught course rather than a summary.
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5 hours
Six hours of statistics for data science in one sitting, from descriptive measures through distributions to hypothesis testing.
1 hour
An hour on descriptive statistics: the measures that summarise a dataset before any model touches it.
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.
