Krish Naik works through the statistics a data scientist actually uses, in one continuous session rather than a series.
It starts where a beginner has to start — populations and samples, the measures of central tendency, variance and standard deviation — and builds to distributions, the central limit theorem, confidence intervals and hypothesis testing.
One video, six hours, and no prerequisites beyond school arithmetic.
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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 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 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 3 hours
A single session, about 3 hours, published on YouTube by WsCube Tech. Watched here on the course page.
1 lesson, about 1 hour
A single session, about 1 hour, published on YouTube by Onur Baltaci. 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.
