Modules / Lectures
Module NameDownloadDescriptionDownload Size
Week 1week1-assignmentnsolutions newweek1-assignmentnsolutions new300 kb
Week 1Week 1 Assignment with solutionsWeek 1 Assignment153 kb
Week 2week2-assignmentnsolutions newweek2-assignmentnsolutions new157 kb
Week 2Week 2 Assignment with solutionsWeek 2 Assignment485 kb
Week 3week3-assignmentnsolutions newweek3-assignmentnsolutions215 kb
Week 3Week 3_Assignment with solutionsWeek 3_Assignment548 kb
Week 4Week4-assignmentnsolutions newWeek4-assignmentnsolutions new240 kb
Week 4Week 4_Assignment with solutionsWeek 4_Assignment549 kb
Week 5week5-assignmentnsolutionsweek5-assignmentnsolutions152 kb
Week 5Week 5_Assignment with solutionsWeek 5_Assignment512 kb
Week 6week6-assignmentnsolutions newweek6-assignmentnsolutions new160 kb
Week 6Week 6_Assignment with solutionsWeek 6_Assignment595 kb
Week 7week7-assignmentnsolutions newweek7-assignmentnsolutions new188 kb
Week 7Week 7 Assignment with solutionsWeek 7 Assignment619 kb
Week 8week8-assignmentnsolutions newweek8-assignmentnsolutions new135 kb
Week 8Week 8 Assignment with solutionsWeek 8 Assignment261 kb

New Assignments
Module NameDownload

Sl.No Chapter Name MP4 Download Transcript Download
1Lecture 1: Introduction to the courseDownloadDownload
2Lecture 2: Data representation and plottingDownloadDownload
3Lecture 3: Arithmetic meanDownloadDownload
4Lecture 4: Geometric mean DownloadDownload
5Lecture 5: Measure of Variability, Standard deviationDownloadDownload
6Lecture 6: SME, Z-Score, Box plot DownloadDownload
7Lecture 7: Moments, SkewnessDownloadPDF unavailable
8Lecture 8: Kurtosis, R programmingDownloadPDF unavailable
9Lecture 9: R programmingDownloadPDF unavailable
10Lecture 10: CorrelationDownloadPDF unavailable
11Lecture 11: Correlation and RegressionDownloadPDF unavailable
12Lecture 12: Correlation and Regression Part-IIDownloadPDF unavailable
13Lecture 13: Interpolation and extrapolationDownloadPDF unavailable
14Lecture 14: Nonlinear data fittingDownloadPDF unavailable
15Lecture 15: Concept of Probability: introduction and basicsDownloadPDF unavailable
16Lecture 16: Counting principle, Permutations, and CombinationsDownloadPDF unavailable
17Lecture 17: Conditional probabilityDownloadPDF unavailable
18Lecture 18: Conditional probability and Random variablesDownloadPDF unavailable
19Lecture 19: Random variables, Probability mass function, and Probability density functionDownloadPDF unavailable
20Lecture 20: Expectation, Variance and Covariance DownloadPDF unavailable
21Lecture 21: Expectation, Variance and Covariance Part-IIDownloadPDF unavailable
22Lecture 22: Binomial random variables and Moment generating functionDownloadPDF unavailable
23Lecture 23: Probability distribution: Poisson distribution and Uniform distribution Part-IDownloadPDF unavailable
24Lecture 24: Uniform distribution Part-II and Normal distribution Part-IDownloadPDF unavailable
25Lecture 25: Normal distribution Part-II and Exponential distributionDownloadPDF unavailable
26Lecture 26: Sampling distributions and Central limit theorem Part-IDownloadPDF unavailable
27Lecture 27: Sampling distributions and Central limit theorem Part-IIDownloadPDF unavailable
28Lecture 28: Central limit theorem Part-III and Sampling distributions of sample meanDownloadPDF unavailable
29Lecture 29: Central limit theorem - IV and Confidence intervalsDownloadPDF unavailable
30Lecture 30: Confidence intervals Part- IIDownloadPDF unavailable
31Lecture 31: Test of Hypothesis - 1DownloadPDF unavailable
32Lecture 32: Test of Hypothesis - 2 (1 tailed and 2 tailed Test of Hypothesis, p-value)DownloadPDF unavailable
33Lecture 33: Test of Hypothesis - 3 (1 tailed and 2 tailed Test of Hypothesis, p-value)DownloadPDF unavailable
34Lecture 34: Test of Hypothesis - 4 (Type -1 and Type -2 error)DownloadPDF unavailable
35Lecture 35: T-testDownloadPDF unavailable
36Lecture 36: 1 tailed and 2 tailed T-distribution, Chi-square testDownloadPDF unavailable
37Lecture 37: ANOVA - 1DownloadPDF unavailable
38Lecture 38: ANOVA - 2DownloadPDF unavailable
39Lecture 39: ANOVA - 3DownloadPDF unavailable
40Lecture 40: ANOVA for linear regression, Block DesignDownloadPDF unavailable