Completed
Introduction
Class Central Classrooms beta
YouTube videos curated by Class Central.
Classroom Contents
Complete Statistics for Data Science
Automatically move to the next video in the Classroom when playback concludes
- 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
