Modules / Lectures
Module NameDownloadDescriptionDownload Size
Unit 1noc22-cs08_week1
Unit 2noc22-cs08_week2
Unit 3noc22-cs08_week3
Unit 4noc22-cs08_Week 4
Module NameDownload
noc20_cs46_assessment_id_Week_1noc20_cs46_assessment_id_Week_1
noc20_cs46_assessment_id_Week_10noc20_cs46_assessment_id_Week_10
noc20_cs46_assessment_id_Week_11noc20_cs46_assessment_id_Week_11
noc20_cs46_assessment_id_Week_12noc20_cs46_assessment_id_Week_12
noc20_cs46_assessment_id_Week_2noc20_cs46_assessment_id_Week_2
noc20_cs46_assessment_id_Week_3noc20_cs46_assessment_id_Week_3
noc20_cs46_assessment_id_Week_4noc20_cs46_assessment_id_Week_4
noc20_cs46_assessment_id_Week_5noc20_cs46_assessment_id_Week_5
noc20_cs46_assessment_id_Week_6noc20_cs46_assessment_id_Week_6
noc20_cs46_assessment_id_Week_7noc20_cs46_assessment_id_Week_7
noc20_cs46_assessment_id_Week_8noc20_cs46_assessment_id_Week_8
noc20_cs46_assessment_id_Week_9noc20_cs46_assessment_id_Week_9


Sl.No Chapter Name MP4 Download
1Introduction to data analyticsDownload
2Python Fundamentals - IDownload
3Python Fundamentals - IIDownload
4Central Tendency and Dispersion - IDownload
5Central Tendency and Dispersion - IIDownload
6Introduction to Probability- IDownload
7Introduction to Probability- IIDownload
8Probability Distributions - IDownload
9Probability Distributions - IIDownload
10Probability Distributions - IIIDownload
11Python Demo for DistributionsDownload
12Sampling and Sampling DistributionDownload
13Distribution of Sample Means, population, and varianceDownload
14Confidence interval estimation: Single population - IDownload
15Confidence interval estimation: Single population - IIDownload
16Hypothesis Testing- IDownload
17Hypothesis Testing- II Download
18Hypothesis Testing- III Download
19Errors in Hypothesis Testing Download
20Hypothesis Testing: Two sample test- I Download
21Hypothesis Testing: Two sample test- II Download
22Hypothesis Testing: Two sample test- III Download
23ANOVA - I Download
24ANOVA - II Download
25Post Hoc Analysis(Tukey’s test)Download
26Randomize block design (RBD) Download
27Two Way ANOVA Download
28Linear Regression - I Download
29Linear Regression - II Download
30Linear Regression - III Download
31Estimation, Prediction of Regression Model Residual Analysis Download
32Estimation, Prediction of Regression Model Residual Analysis - II Download
33MULTIPLE REGRESSION MODEL - I Download
34MULTIPLE REGRESSION MODEL-II Download
35Categorical variable regression Download
36Maximum Likelihood Estimation- IDownload
37Maximum Likelihood Estimation-IIDownload
38LOGISTIC REGRESSION- IDownload
39LOGISTIC REGRESSION-IIDownload
40Linear Regression Model Vs Logistic Regression ModelDownload
41Confusion matrix and ROC- IDownload
42Confusion Matrix and ROC-IIDownload
43Performance of Logistic Model-IIIDownload
44Regression Analysis Model Building - IDownload
45Regression Analysis Model Building (Interaction)- IIDownload
46Chi - Square Test of Independence - IDownload
47Chi-Square Test of Independence - IIDownload
48Chi-Square Goodness of Fit Test Download
49Cluster analysis: Introduction- IDownload
50Clustering analysis: part IIDownload
51Clustering analysis: Part IIIDownload
52Cluster analysis: Part IVDownload
53Cluster analysis: Part VDownload
54K- Means ClusteringDownload
55Hierarchical method of clustering -IDownload
56Hierarchical method of clustering- IIDownload
57Classification and Regression Trees (CART : I)Download
58Measures of attribute selectionDownload
59Attribute selection Measures in CART : IIDownload
60Classification and Regression Trees (CART) - IIIDownload

Sl.No Chapter Name English
1Introduction to data analyticsDownload
Verified
2Python Fundamentals - IDownload
Verified
3Python Fundamentals - IIDownload
Verified
4Central Tendency and Dispersion - IDownload
Verified
5Central Tendency and Dispersion - IIDownload
Verified
6Introduction to Probability- IDownload
Verified
7Introduction to Probability- IIDownload
Verified
8Probability Distributions - IDownload
Verified
9Probability Distributions - IIDownload
Verified
10Probability Distributions - IIIDownload
Verified
11Python Demo for DistributionsDownload
Verified
12Sampling and Sampling DistributionDownload
Verified
13Distribution of Sample Means, population, and varianceDownload
Verified
14Confidence interval estimation: Single population - IDownload
Verified
15Confidence interval estimation: Single population - IIDownload
Verified
16Hypothesis Testing- IDownload
Verified
17Hypothesis Testing- II Download
Verified
18Hypothesis Testing- III Download
Verified
19Errors in Hypothesis Testing Download
Verified
20Hypothesis Testing: Two sample test- I Download
Verified
21Hypothesis Testing: Two sample test- II Download
Verified
22Hypothesis Testing: Two sample test- III Download
Verified
23ANOVA - I Download
Verified
24ANOVA - II Download
Verified
25Post Hoc Analysis(Tukey’s test)Download
Verified
26Randomize block design (RBD) Download
Verified
27Two Way ANOVA Download
Verified
28Linear Regression - I Download
Verified
29Linear Regression - II Download
Verified
30Linear Regression - III Download
Verified
31Estimation, Prediction of Regression Model Residual Analysis Download
Verified
32Estimation, Prediction of Regression Model Residual Analysis - II Download
Verified
33MULTIPLE REGRESSION MODEL - I Download
Verified
34MULTIPLE REGRESSION MODEL-II Download
Verified
35Categorical variable regression Download
Verified
36Maximum Likelihood Estimation- IDownload
Verified
37Maximum Likelihood Estimation-IIDownload
Verified
38LOGISTIC REGRESSION- IDownload
Verified
39LOGISTIC REGRESSION-IIDownload
Verified
40Linear Regression Model Vs Logistic Regression ModelDownload
Verified
41Confusion matrix and ROC- IDownload
Verified
42Confusion Matrix and ROC-IIDownload
Verified
43Performance of Logistic Model-IIIDownload
Verified
44Regression Analysis Model Building - IDownload
Verified
45Regression Analysis Model Building (Interaction)- IIDownload
Verified
46Chi - Square Test of Independence - IDownload
Verified
47Chi-Square Test of Independence - IIDownload
Verified
48Chi-Square Goodness of Fit Test Download
Verified
49Cluster analysis: Introduction- IDownload
Verified
50Clustering analysis: part IIDownload
Verified
51Clustering analysis: Part IIIDownload
Verified
52Cluster analysis: Part IVDownload
Verified
53Cluster analysis: Part VDownload
Verified
54K- Means ClusteringDownload
Verified
55Hierarchical method of clustering -IDownload
Verified
56Hierarchical method of clustering- IIDownload
Verified
57Classification and Regression Trees (CART : I)Download
Verified
58Measures of attribute selectionDownload
Verified
59Attribute selection Measures in CART : IIDownload
Verified
60Classification and Regression Trees (CART) - IIIDownload
Verified


Sl.No Language Book link
1EnglishDownload
2BengaliNot Available
3GujaratiNot Available
4HindiNot Available
5KannadaNot Available
6MalayalamNot Available
7MarathiNot Available
8TamilNot Available
9TeluguNot Available