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Introduction
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Classroom Contents
Complete Statistics for Data Science
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- 1 Introduction
- 2 Descriptive Statistics
- 3 Inferential Stats
- 4 What is Statistics
- 5 Types of Statistics
- 6 Population And Sample
- 7 Sampling Teechniques
- 8 What are Variables?
- 9 Variable Measurement Scales
- 10 Mean, Median, Mode
- 11 Measure of dispersion with Variance And SD
- 12 Percentiles and Quartiles
- 13 Five number summary and boxplot
- 14 Gaussian And Normal Distribution
- 15 Stats Interview Question 1
- 16 Finding Outliers In Python
- 17 Probability, Additive Rule, Multiplicative Rule
- 18 Permutation And combination
- 19 p value
- 20 Hypothesis testing, confidence interval, significance values
- 21 Type 1 and Type 2 error
- 22 Confidence Interval
- 23 One sample z test
- 24 one sample t test
- 25 Chi square test
- 26 Inferential stats with python
- 27 Covariance, Pearson correlation, spearman rank correlation
- 28 Deriving P values and significance value
- 29 Other types of distribution
