Bayes theorem (in Hindi)

Introduction to the course (in Hindi)

5:22mins

Prerequisites of the course ( in Hindi)

11:50mins

Elementary Permutation and Combination( in Hindi)

11:38mins

Practice Part 1 (in Hindi)

9:39mins

Basic terms and definitions (in Hindi)

8:43mins

Basic terms and definitions part 2 (in Hindi)

9:02mins

Probability definition and Axioms (in Hindi)

9:18mins

Addition Law of Probability and it's Proof (in Hindi)

11:07mins

Practice Part 2 (in Hindi)

10:24mins

Practice Part 3 (in Hindi)

10:43mins

Practice Part 4 (in Hindi)

8:06mins

Conditional Probability and multiplication law(in Hindi)

8:27mins

Multiplication law for independent events (in Hindi)

9:49mins

Practice part 5 (in Hindi)

12:43mins

Practice part 6 (in Hindi)

12:07mins

Bayes theorem (in Hindi)

8:05mins

Practice part 7 (in Hindi)

13:05mins

Statistics: Introduction (in Hindi)

10:25mins

Random variables : Classification (in Hindi)

9:37mins

Mathematical Expectation ( in Hindi )

10:58mins

Variance and Co-Variance( in Hindi )

13:47mins

Practice Part 8 (in Hindi)

9:50mins

Practice Part 9 (in Hindi)

8:01mins

Cumulative Distribution Function(in Hindi)

9:57mins

Practice Part 10 (in Hindi)

10:48mins

Practice Part 11 (in Hindi)

9:11mins

Practice Part 12 (in Hindi)

9:03mins

Discrete Probability Distribution (in Hindi)

9:22mins

Practice Part 13 (in Hindi)

13:16mins

Practice Part 14 (in Hindi)

9:40mins

Uniform Probability Distribution (in Hindi)

7:26mins

Exponential Distribution (in Hindi)

9:51mins

Normal Distribution (in Hindi)

7:05mins

Practice Part 15 (in Hindi)

8:09mins

Gamma Function (in Hindi)

6:01mins

Practice Part 16 (in Hindi)

8:22mins