Modules / Lectures


Sl.No Chapter Name MP4 Download
1Lecture 1: Introduction to the courseDownload
2Lecture 2: Data representation and plottingDownload
3Lecture 3: Arithmetic meanDownload
4Lecture 4: Geometric mean Download
5Lecture 5: Measure of Variability, Standard deviationDownload
6Lecture 6: SME, Z-Score, Box plot Download
7Lecture 7: Moments, SkewnessDownload
8Lecture 8: Kurtosis, R programmingDownload
9Lecture 9: R programmingDownload
10Lecture 10: CorrelationDownload
11Lecture 11: Correlation and RegressionDownload
12Lecture 12: Correlation and Regression Part-IIDownload
13Lecture 13: Interpolation and extrapolationDownload
14Lecture 14: Nonlinear data fittingDownload
15Lecture 15: Concept of Probability: introduction and basicsDownload
16Lecture 16: Counting principle, Permutations, and CombinationsDownload
17Lecture 17: Conditional probabilityDownload
18Lecture 18: Conditional probability and Random variablesDownload
19Lecture 19: Random variables, Probability mass function, and Probability density functionDownload
20Lecture 20: Expectation, Variance and Covariance Download
21Lecture 21: Expectation, Variance and Covariance Part-IIDownload
22Lecture 22: Binomial random variables and Moment generating functionDownload
23Lecture 23: Probability distribution: Poisson distribution and Uniform distribution Part-IDownload
24Lecture 24: Uniform distribution Part-II and Normal distribution Part-IDownload
25Lecture 25: Normal distribution Part-II and Exponential distributionDownload
26Lecture 26: Sampling distributions and Central limit theorem Part-IDownload
27Lecture 27: Sampling distributions and Central limit theorem Part-IIDownload
28Lecture 28: Central limit theorem Part-III and Sampling distributions of sample meanDownload
29Lecture 29: Central limit theorem - IV and Confidence intervalsDownload
30Lecture 30: Confidence intervals Part- IIDownload
31Lecture 31: Test of Hypothesis - 1Download
32Lecture 32: Test of Hypothesis - 2 (1 tailed and 2 tailed Test of Hypothesis, p-value)Download
33Lecture 33: Test of Hypothesis - 3 (1 tailed and 2 tailed Test of Hypothesis, p-value)Download
34Lecture 34: Test of Hypothesis - 4 (Type -1 and Type -2 error)Download
35Lecture 35: T-testDownload
36Lecture 36: 1 tailed and 2 tailed T-distribution, Chi-square testDownload
37Lecture 37: ANOVA - 1Download
38Lecture 38: ANOVA - 2Download
39Lecture 39: ANOVA - 3Download
40Lecture 40: ANOVA for linear regression, Block DesignDownload

Sl.No Chapter Name English
1Lecture 1: Introduction to the courseDownload
Verified
2Lecture 2: Data representation and plottingDownload
Verified
3Lecture 3: Arithmetic meanDownload
Verified
4Lecture 4: Geometric mean Download
Verified
5Lecture 5: Measure of Variability, Standard deviationDownload
Verified
6Lecture 6: SME, Z-Score, Box plot Download
Verified
7Lecture 7: Moments, SkewnessDownload
Verified
8Lecture 8: Kurtosis, R programmingPDF unavailable
9Lecture 9: R programmingPDF unavailable
10Lecture 10: CorrelationPDF unavailable
11Lecture 11: Correlation and RegressionPDF unavailable
12Lecture 12: Correlation and Regression Part-IIPDF unavailable
13Lecture 13: Interpolation and extrapolationPDF unavailable
14Lecture 14: Nonlinear data fittingPDF unavailable
15Lecture 15: Concept of Probability: introduction and basicsPDF unavailable
16Lecture 16: Counting principle, Permutations, and CombinationsPDF unavailable
17Lecture 17: Conditional probabilityPDF unavailable
18Lecture 18: Conditional probability and Random variablesPDF unavailable
19Lecture 19: Random variables, Probability mass function, and Probability density functionPDF unavailable
20Lecture 20: Expectation, Variance and Covariance PDF unavailable
21Lecture 21: Expectation, Variance and Covariance Part-IIPDF unavailable
22Lecture 22: Binomial random variables and Moment generating functionPDF unavailable
23Lecture 23: Probability distribution: Poisson distribution and Uniform distribution Part-IPDF unavailable
24Lecture 24: Uniform distribution Part-II and Normal distribution Part-IPDF unavailable
25Lecture 25: Normal distribution Part-II and Exponential distributionPDF unavailable
26Lecture 26: Sampling distributions and Central limit theorem Part-IPDF unavailable
27Lecture 27: Sampling distributions and Central limit theorem Part-IIPDF unavailable
28Lecture 28: Central limit theorem Part-III and Sampling distributions of sample meanPDF unavailable
29Lecture 29: Central limit theorem - IV and Confidence intervalsPDF unavailable
30Lecture 30: Confidence intervals Part- IIPDF unavailable
31Lecture 31: Test of Hypothesis - 1PDF unavailable
32Lecture 32: Test of Hypothesis - 2 (1 tailed and 2 tailed Test of Hypothesis, p-value)PDF unavailable
33Lecture 33: Test of Hypothesis - 3 (1 tailed and 2 tailed Test of Hypothesis, p-value)PDF unavailable
34Lecture 34: Test of Hypothesis - 4 (Type -1 and Type -2 error)PDF unavailable
35Lecture 35: T-testPDF unavailable
36Lecture 36: 1 tailed and 2 tailed T-distribution, Chi-square testPDF unavailable
37Lecture 37: ANOVA - 1PDF unavailable
38Lecture 38: ANOVA - 2PDF unavailable
39Lecture 39: ANOVA - 3PDF unavailable
40Lecture 40: ANOVA for linear regression, Block DesignPDF unavailable


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