<aside> 💡 Setting out on your journey of becoming a Data Scientist or a Data Analyst it's important to ask how much statistics is needed. This video answers the billion-dollar question for you.

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WEEK 1, DAY 1

How to Learn Math for Data Science (and Stay Sane!)

https://www.youtube.com/watch?v=A8Abf3u0ZIs&pp=ygUbTWF0aG1hdGljcyBmb3IgRGF0YSBBbmFseXN0

Next,

This video is a six-hour video that will teach you the basics of statistics; samples, population, measures of central tendency, spread, correlation, and regression.

WEEK 1, DAY 1 - 2

Introduction, Descriptive Statistics, Inferential Stats, What is Statistics, Types of Statistics, Population And Sample, Sampling Techniques, What are Variables?, Variable Measurement Scales, Mean, Median, Mode, Measure of dispersion with Variance And SD, Percentiles and Quartiles

Time: 0:00 - 1:08:05

https://www.youtube.com/watch?v=LZzq1zSL1bs

WEEK 1, DAY 3 - 4

Five number summary and boxplot, Gaussian And Normal Distribution, Stats Interview Question 1, Finding Outliers In Python, Probability, Additive Rule, Multiplicative Rule, Permutation And the combination, p-value, Hypothesis testing, confidence interval, significance values