NOC:Introduction to Statistics

Lecture 1 - Types of variables

Lecture 2 - Types of studies

Lecture 3 - Types of sampling strategies

Lecture 4 - Python - Session 1

Lecture 5 - Python - Session 2

Lecture 6 - Summary measures of categorical and numerical variables

Lecture 7 - Measures of Dispersion

Lecture 8 - Measures of Skewness

Lecture 9 - Python - Session 3

Lecture 10 - Python - Session 4

Lecture 11 - Visualizing categorical and numerical data

Lecture 12 - Visualizing numerical data

Lecture 13 - Python - Session 5

Lecture 14 - Python - Session 6

Lecture 15 - Python - Session 7

Lecture 16 - Sampling distribution of sample mean

Lecture 17 - Central Limit Theorem

Lecture 18 - Sampling distribution of sample variance and proportion

Lecture 19 - Python - Session 8

Lecture 20 - Python - Session 9

Lecture 21 - Sampling distribution of difference of sample means - Part 1

Lecture 22 - Sampling distribution of difference of sample means - Part 2

Lecture 23 - Sampling distribution of ratio of sample variances and difference of sample proportions

Lecture 24 - Python - Session 10

Lecture 25 - Python - Session 11

Lecture 26 - Point estimation - Part 1

Lecture 27 - Point estimation - Part 2

Lecture 28 - Point estimation - Part 3

Lecture 29 - Python - Session 12

Lecture 30 - Python - Session 13

Lecture 31 - Unbiased estimation

Lecture 32 - EM algorithm - Part 1

Lecture 33 - EM algorithm - Part 2

Lecture 34 - Python - Session 14

Lecture 35 - Python - Session 15

Lecture 36 - Hypothesis Testing - Part 1

Lecture 37 - Hypothesis Testing - Part 2

Lecture 38 - Hypothesis Testing - Part 3

Lecture 39 - Python - Session 16

Lecture 40 - Python - Session 17

Lecture 41 - Hypothesis Testing for two sample problem - Part 1

Lecture 42 - Hypothesis Testing for two sample problem - Part 2

Lecture 43 - Hypothesis Testing for two sample problem - Part 3

Lecture 44 - Python - Session 18

Lecture 45 - Python - Session 19

Lecture 46 - Bootstrap Hypothesis Testing - Part 1

Lecture 47 - Python - Session 20

Lecture 48 - Python - Session 21

Lecture 49 - Bootstrap Hypothesis Testing - Part 2

Lecture 50 - Python - Session 22

Lecture 51 - Confidence Interval Estimation - Part 1

Lecture 52 - Confidence Interval Estimation - Part 2

Lecture 53 - Confidence Interval Estimation - Part 3

Lecture 54 - Python - Session 23

Lecture 55 - Python - Session 24

Lecture 56 - Confidence interval for two sample problem

Lecture 57 - Python - Session 25

Lecture 58 - Bootstrap Confidence Interval

Lecture 59 - Python - Session 26

Lecture 60 - Python - Session 27