Modules / Lectures
Module NameDownload


Sl.No Chapter Name MP4 Download
1Lecture 01: What is Data Science? Download
2Lecture 02: Installation and Working with R Download
3Lecture 03: Calculations with R as a Calculator Download
4Lecture 04: Calculations with Data Vectors Download
5Lecture 05: Built-in Commands and Missing Data Handling Download
6Lecture 06: Operations with Matrices Download
7Lecture 07: Data Handling Download
8Lecture 08: Graphics and Plots Download
9Lecture 09: Sampling, Sampling Unit, Population and Sample Download
10Lecture 10: Terminologies and Concepts Download
11Lecture 11: Ensuring Representativeness and Type of Surveys Download
12Lecture 12: Conducting Surveys and Ensuring Representativeness Download
13Lecture 13: SRSWOR, SRSWR, and Selection of Unit- 1 Download
14Lecture 14: SRSWOR, SRSWR, and Selection of Unit- 2 Download
15Lecture 15: Probabilities of Selection of Samples Download
16Lecture 16: SRSWOR and SRSWR with R with "sample" Package Download
17Lecture 17: Examples of SRS with R using "sample" Package Download
18Lecture 18: Simple Random Sampling :: SRS with R using “sampling” and “sample” Packages Download
19Lecture 19: Simple Random Sampling :: Estimation of Population Mean Download
20Lecture 20: Simple Random Sampling :: Estimation of Population Variance Download
21Lecture 21: Simple Random Sampling :: Estimation of Population Variance Download
22Lecture 22: SRS :: Confidence Interval Estimation of Population Mean Download
23Lecture 23: SRS :: Estimation of Mean, Variance and Confidence Interval in SRSWOR using R Download
24Lecture 24: SRS :: Estimation of Mean, Variance and Confidence Interval in SRSWR using R Download
25Lecture 25: Sampling for Proportions and Percentages :: Basic Concepts Download
26Lecture 26: Sampling for Proportions and Percentages :: Mean and Variance of Sample Proportion Download
27Lecture 27: Sampling for Proportions and Percentages :: Sampling for Proportions with R Download
28Lecture 28: Stratified Random Sampling :: Drawing the Sample and Sampling Procedure Download
29Lecture 29: Stratified Random Sampling :: Estimation of Population Mean, Population Variance and Confidence Interval Download
30Lecture 30: Stratified Random Sampling :: Sample Allocation and Variances Under Allocation Download
31Lecture 31: Stratified Random Sampling :: Drawing of Sample Using sampling and strata Packages in R Download
32Lecture 32: Stratified Random Sampling :: Drawing of Sample Using survey Package in R Download
33Lecture 33: Bootstrap Methodology :: What is Bootstrap and Methodology Download
34Lecture 34: Bootstrap Methodology :: EDF, Bootstrap Bias and Bootstrap Standard Errors Download
35Lecture 35: Bootstrap Methodology :: Bootstrap Analysis Using boot Package in R Download
36Lecture 36: Bootstrap Methodology :: Bootstrap Confidence Interval Download
37Lecture 37: Bootstrap Methodology :: Bootstrap Confidence Interval Using boot and bootstrap Packages in R Download
38Lecture 38: Bootstrap Methodology :: Example of Bootstrap Analysis Using boot PackageDownload
39Lecture 39: Introduction to Linear Models and Regression :: Introduction and Basic Concepts Download
40Lecture 40: Simple Linear Regression Analysis :: Basic Concepts and Least Squares EstimationDownload
41Lecture 41: Simple Linear Regression Analysis :: Fitting Linear Model With R Software Download
42Lecture 42: Simple Linear Regression Analysis :: Properties of Least Squares Estimators Download
43Lecture 43: Simple Linear Regression Analysis :: Maximum Likelihood and Confidence Interval Estimation Download
44Lecture 44: Simple Linear Regression Analysis :: Test of Hypothesis and Confidence Interval Estimation With R Download
45Lecture 45: Multiple Linear Regression Analysis :: Basic Concepts Download
46Lecture 46: Multiple Linear Regression Analysis :: OLSE, Fitted Model and ResidualsDownload
47Lecture 47: Multiple Linear Regression Analysis :: Model Fitting With R SoftwareDownload
48Lecture 48: Multiple Linear Regression Analysis :: Properties of OLSE and Maximum Likelihood EstimationDownload
49Lecture 49: Multiple Linear Regression Analysis :: Test of Hypothesis and Confidence Interval Estimation on Individual Regression CoefficientsDownload
50Lecture 50: Analysis of Variance and Implementation in R SoftwareDownload
51Lecture 51: Goodness of Fit and Implementation in R SoftwareDownload
52Lecture 52: Variable Selection using LASSO Regression :: Introduction and Basic ConceptsDownload
53Lecture 53: Variable Selection using LASSO Regression :: LASSO with RDownload

Sl.No Chapter Name English
1Lecture 01: What is Data Science? Download
To be verified
2Lecture 02: Installation and Working with R Download
To be verified
3Lecture 03: Calculations with R as a Calculator Download
To be verified
4Lecture 04: Calculations with Data Vectors Download
To be verified
5Lecture 05: Built-in Commands and Missing Data Handling Download
To be verified
6Lecture 06: Operations with Matrices Download
To be verified
7Lecture 07: Data Handling Download
To be verified
8Lecture 08: Graphics and Plots Download
To be verified
9Lecture 09: Sampling, Sampling Unit, Population and Sample Download
To be verified
10Lecture 10: Terminologies and Concepts Download
To be verified
11Lecture 11: Ensuring Representativeness and Type of Surveys Download
To be verified
12Lecture 12: Conducting Surveys and Ensuring Representativeness Download
To be verified
13Lecture 13: SRSWOR, SRSWR, and Selection of Unit- 1 Download
To be verified
14Lecture 14: SRSWOR, SRSWR, and Selection of Unit- 2 Download
To be verified
15Lecture 15: Probabilities of Selection of Samples Download
To be verified
16Lecture 16: SRSWOR and SRSWR with R with "sample" Package Download
To be verified
17Lecture 17: Examples of SRS with R using "sample" Package Download
To be verified
18Lecture 18: Simple Random Sampling :: SRS with R using “sampling” and “sample” Packages Download
To be verified
19Lecture 19: Simple Random Sampling :: Estimation of Population Mean Download
To be verified
20Lecture 20: Simple Random Sampling :: Estimation of Population Variance Download
To be verified
21Lecture 21: Simple Random Sampling :: Estimation of Population Variance Download
To be verified
22Lecture 22: SRS :: Confidence Interval Estimation of Population Mean PDF unavailable
23Lecture 23: SRS :: Estimation of Mean, Variance and Confidence Interval in SRSWOR using R PDF unavailable
24Lecture 24: SRS :: Estimation of Mean, Variance and Confidence Interval in SRSWR using R PDF unavailable
25Lecture 25: Sampling for Proportions and Percentages :: Basic Concepts PDF unavailable
26Lecture 26: Sampling for Proportions and Percentages :: Mean and Variance of Sample Proportion PDF unavailable
27Lecture 27: Sampling for Proportions and Percentages :: Sampling for Proportions with R PDF unavailable
28Lecture 28: Stratified Random Sampling :: Drawing the Sample and Sampling Procedure PDF unavailable
29Lecture 29: Stratified Random Sampling :: Estimation of Population Mean, Population Variance and Confidence Interval PDF unavailable
30Lecture 30: Stratified Random Sampling :: Sample Allocation and Variances Under Allocation PDF unavailable
31Lecture 31: Stratified Random Sampling :: Drawing of Sample Using sampling and strata Packages in R PDF unavailable
32Lecture 32: Stratified Random Sampling :: Drawing of Sample Using survey Package in R PDF unavailable
33Lecture 33: Bootstrap Methodology :: What is Bootstrap and Methodology PDF unavailable
34Lecture 34: Bootstrap Methodology :: EDF, Bootstrap Bias and Bootstrap Standard Errors PDF unavailable
35Lecture 35: Bootstrap Methodology :: Bootstrap Analysis Using boot Package in R PDF unavailable
36Lecture 36: Bootstrap Methodology :: Bootstrap Confidence Interval PDF unavailable
37Lecture 37: Bootstrap Methodology :: Bootstrap Confidence Interval Using boot and bootstrap Packages in R PDF unavailable
38Lecture 38: Bootstrap Methodology :: Example of Bootstrap Analysis Using boot PackagePDF unavailable
39Lecture 39: Introduction to Linear Models and Regression :: Introduction and Basic Concepts PDF unavailable
40Lecture 40: Simple Linear Regression Analysis :: Basic Concepts and Least Squares EstimationPDF unavailable
41Lecture 41: Simple Linear Regression Analysis :: Fitting Linear Model With R Software PDF unavailable
42Lecture 42: Simple Linear Regression Analysis :: Properties of Least Squares Estimators PDF unavailable
43Lecture 43: Simple Linear Regression Analysis :: Maximum Likelihood and Confidence Interval Estimation PDF unavailable
44Lecture 44: Simple Linear Regression Analysis :: Test of Hypothesis and Confidence Interval Estimation With R PDF unavailable
45Lecture 45: Multiple Linear Regression Analysis :: Basic Concepts PDF unavailable
46Lecture 46: Multiple Linear Regression Analysis :: OLSE, Fitted Model and ResidualsPDF unavailable
47Lecture 47: Multiple Linear Regression Analysis :: Model Fitting With R SoftwarePDF unavailable
48Lecture 48: Multiple Linear Regression Analysis :: Properties of OLSE and Maximum Likelihood EstimationPDF unavailable
49Lecture 49: Multiple Linear Regression Analysis :: Test of Hypothesis and Confidence Interval Estimation on Individual Regression CoefficientsPDF unavailable
50Lecture 50: Analysis of Variance and Implementation in R SoftwarePDF unavailable
51Lecture 51: Goodness of Fit and Implementation in R SoftwarePDF unavailable
52Lecture 52: Variable Selection using LASSO Regression :: Introduction and Basic ConceptsPDF unavailable
53Lecture 53: Variable Selection using LASSO Regression :: LASSO with RPDF unavailable


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