Modules / Lectures

Module Name | Download |
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noc19_bt19_assignment_Week_1 | noc19_bt19_assignment_Week_1 |

noc19_bt19_assignment_Week_2 | noc19_bt19_assignment_Week_2 |

noc19_bt19_assignment_Week_3 | noc19_bt19_assignment_Week_3 |

noc19_bt19_assignment_Week_4 | noc19_bt19_assignment_Week_4 |

noc19_bt19_assignment_Week_5 | noc19_bt19_assignment_Week_5 |

noc19_bt19_assignment_Week_6 | noc19_bt19_assignment_Week_6 |

noc19_bt19_assignment_Week_7 | noc19_bt19_assignment_Week_7 |

noc19_bt19_assignment_Week_8 | noc19_bt19_assignment_Week_8 |

Sl.No | Chapter Name | MP4 Download |
---|---|---|

1 | Lecture 1: Introduction to the course | Download |

2 | Lecture 2: Data representation and plotting | Download |

3 | Lecture 3: Arithmetic mean | Download |

4 | Lecture 4: Geometric mean | Download |

5 | Lecture 5: Measure of Variability, Standard deviation | Download |

6 | Lecture 6: SME, Z-Score, Box plot | Download |

7 | Lecture 7: Moments, Skewness | Download |

8 | Lecture 8: Kurtosis, R programming | Download |

9 | Lecture 9: R programming | Download |

10 | Lecture 10: Correlation | Download |

11 | Lecture 11: Correlation and Regression | Download |

12 | Lecture 12: Correlation and Regression Part-II | Download |

13 | Lecture 13: Interpolation and extrapolation | Download |

14 | Lecture 14: Nonlinear data fitting | Download |

15 | Lecture 15: Concept of Probability: introduction and basics | Download |

16 | Lecture 16: Counting principle, Permutations, and Combinations | Download |

17 | Lecture 17: Conditional probability | Download |

18 | Lecture 18: Conditional probability and Random variables | Download |

19 | Lecture 19: Random variables, Probability mass function, and Probability density function | Download |

20 | Lecture 20: Expectation, Variance and Covariance | Download |

21 | Lecture 21: Expectation, Variance and Covariance Part-II | Download |

22 | Lecture 22: Binomial random variables and Moment generating function | Download |

23 | Lecture 23: Probability distribution: Poisson distribution and Uniform distribution Part-I | Download |

24 | Lecture 24: Uniform distribution Part-II and Normal distribution Part-I | Download |

25 | Lecture 25: Normal distribution Part-II and Exponential distribution | Download |

26 | Lecture 26: Sampling distributions and Central limit theorem Part-I | Download |

27 | Lecture 27: Sampling distributions and Central limit theorem Part-II | Download |

28 | Lecture 28: Central limit theorem Part-III and Sampling distributions of sample mean | Download |

29 | Lecture 29: Central limit theorem - IV and Confidence intervals | Download |

30 | Lecture 30: Confidence intervals Part- II | Download |

31 | Lecture 31: Test of Hypothesis - 1 | Download |

32 | Lecture 32: Test of Hypothesis - 2 (1 tailed and 2 tailed Test of Hypothesis, p-value) | Download |

33 | Lecture 33: Test of Hypothesis - 3 (1 tailed and 2 tailed Test of Hypothesis, p-value) | Download |

34 | Lecture 34: Test of Hypothesis - 4 (Type -1 and Type -2 error) | Download |

35 | Lecture 35: T-test | Download |

36 | Lecture 36: 1 tailed and 2 tailed T-distribution, Chi-square test | Download |

37 | Lecture 37: ANOVA - 1 | Download |

38 | Lecture 38: ANOVA - 2 | Download |

39 | Lecture 39: ANOVA - 3 | Download |

40 | Lecture 40: ANOVA for linear regression, Block Design | Download |

Sl.No | Chapter Name | English |
---|---|---|

1 | Lecture 1: Introduction to the course | Download Verified |

2 | Lecture 2: Data representation and plotting | Download Verified |

3 | Lecture 3: Arithmetic mean | Download Verified |

4 | Lecture 4: Geometric mean | Download Verified |

5 | Lecture 5: Measure of Variability, Standard deviation | Download Verified |

6 | Lecture 6: SME, Z-Score, Box plot | Download Verified |

7 | Lecture 7: Moments, Skewness | Download Verified |

8 | Lecture 8: Kurtosis, R programming | Download Verified |

9 | Lecture 9: R programming | Download Verified |

10 | Lecture 10: Correlation | Download Verified |

11 | Lecture 11: Correlation and Regression | Download Verified |

12 | Lecture 12: Correlation and Regression Part-II | Download Verified |

13 | Lecture 13: Interpolation and extrapolation | Download Verified |

14 | Lecture 14: Nonlinear data fitting | Download Verified |

15 | Lecture 15: Concept of Probability: introduction and basics | Download Verified |

16 | Lecture 16: Counting principle, Permutations, and Combinations | PDF unavailable |

17 | Lecture 17: Conditional probability | PDF unavailable |

18 | Lecture 18: Conditional probability and Random variables | PDF unavailable |

19 | Lecture 19: Random variables, Probability mass function, and Probability density function | PDF unavailable |

20 | Lecture 20: Expectation, Variance and Covariance | PDF unavailable |

21 | Lecture 21: Expectation, Variance and Covariance Part-II | PDF unavailable |

22 | Lecture 22: Binomial random variables and Moment generating function | PDF unavailable |

23 | Lecture 23: Probability distribution: Poisson distribution and Uniform distribution Part-I | PDF unavailable |

24 | Lecture 24: Uniform distribution Part-II and Normal distribution Part-I | PDF unavailable |

25 | Lecture 25: Normal distribution Part-II and Exponential distribution | PDF unavailable |

26 | Lecture 26: Sampling distributions and Central limit theorem Part-I | PDF unavailable |

27 | Lecture 27: Sampling distributions and Central limit theorem Part-II | PDF unavailable |

28 | Lecture 28: Central limit theorem Part-III and Sampling distributions of sample mean | PDF unavailable |

29 | Lecture 29: Central limit theorem - IV and Confidence intervals | PDF unavailable |

30 | Lecture 30: Confidence intervals Part- II | PDF unavailable |

31 | Lecture 31: Test of Hypothesis - 1 | PDF unavailable |

32 | Lecture 32: Test of Hypothesis - 2 (1 tailed and 2 tailed Test of Hypothesis, p-value) | PDF unavailable |

33 | Lecture 33: Test of Hypothesis - 3 (1 tailed and 2 tailed Test of Hypothesis, p-value) | PDF unavailable |

34 | Lecture 34: Test of Hypothesis - 4 (Type -1 and Type -2 error) | PDF unavailable |

35 | Lecture 35: T-test | PDF unavailable |

36 | Lecture 36: 1 tailed and 2 tailed T-distribution, Chi-square test | PDF unavailable |

37 | Lecture 37: ANOVA - 1 | PDF unavailable |

38 | Lecture 38: ANOVA - 2 | PDF unavailable |

39 | Lecture 39: ANOVA - 3 | PDF unavailable |

40 | Lecture 40: ANOVA for linear regression, Block Design | PDF unavailable |

Sl.No | Language | Book link |
---|---|---|

1 | English | Not Available |

2 | Bengali | Not Available |

3 | Gujarati | Not Available |

4 | Hindi | Not Available |

5 | Kannada | Not Available |

6 | Malayalam | Not Available |

7 | Marathi | Not Available |

8 | Tamil | Not Available |

9 | Telugu | Not Available |