| Module Name | Download |
|---|---|
| noc20_cs89_assignment_Week_0 | noc20_cs89_assignment_Week_0 |
| noc20_cs89_assignment_Week_1 | noc20_cs89_assignment_Week_1 |
| noc20_cs89_assignment_Week_10 | noc20_cs89_assignment_Week_10 |
| noc20_cs89_assignment_Week_11 | noc20_cs89_assignment_Week_11 |
| noc20_cs89_assignment_Week_12 | noc20_cs89_assignment_Week_12 |
| noc20_cs89_assignment_Week_2 | noc20_cs89_assignment_Week_2 |
| noc20_cs89_assignment_Week_3 | noc20_cs89_assignment_Week_3 |
| noc20_cs89_assignment_Week_4 | noc20_cs89_assignment_Week_4 |
| noc20_cs89_assignment_Week_5 | noc20_cs89_assignment_Week_5 |
| noc20_cs89_assignment_Week_6 | noc20_cs89_assignment_Week_6 |
| noc20_cs89_assignment_Week_7 | noc20_cs89_assignment_Week_7 |
| noc20_cs89_assignment_Week_8 | noc20_cs89_assignment_Week_8 |
| noc20_cs89_assignment_Week_9 | noc20_cs89_assignment_Week_9 |
| Sl.No | Chapter Name | MP4 Download |
|---|---|---|
| 1 | Lecture 1 : Intro to Data Analytics. What is Learning Analytics? | Download |
| 2 | Lecture 2 : Academic Analytics, and Educational Data Mining. | Download |
| 3 | Lecture 3 : Four Levels of Analytics | Download |
| 4 | Lecture 4 : Four Levels of Learning Analytics Overview -II | Download |
| 5 | Lecture 5 : Data Collection from Different learning environment | Download |
| 6 | Lecture 6 : Data collection in TELE | Download |
| 7 | Lecture 7 : Data Preprocessing | Download |
| 8 | Lecture 8 : Ethics in Learning Analytics, Student Privacy | Download |
| 9 | Lecture 9 : Demo of Weka | Download |
| 10 | Lecture 10 : Introduction to Machine Learning | Download |
| 11 | Lecture 11 : Introduction to Machine Learning Part 2 | Download |
| 12 | Lecture 12 : Training and testing data | Download |
| 13 | Lecture 13 : Performance Metrics-I | Download |
| 14 | Lecture 14 : Performance Metrics-II | Download |
| 15 | Lecture 15 : Performance Metrics-III | Download |
| 16 | Lecture 16 : Demo of Orange | Download |
| 17 | Lecture 17 : Descriptive Analytics | Download |
| 18 | Lecture 18 : Descriptive Analytics-II | Download |
| 19 | Lecture 19 : Charts | Download |
| 20 | Lecture 20 : Charts-II | Download |
| 21 | Lecture 21 : Charts-II | Download |
| 22 | Lecture 22 : Comparing Charts | Download |
| 23 | Lecture 23 : Descriptive Analytics – Example I | Download |
| 24 | Lecture 24 : Descriptive Analytics – Example II | Download |
| 25 | Lecture 25 : Excel tool | Download |
| 26 | Lecture 26 : Diagnostics Analytics | Download |
| 27 | Lecture 27 : Correlation | Download |
| 28 | Lecture 28 : Correlation Matrix | Download |
| 29 | Lecture 29 : Spearman’s Rank Correlation | Download |
| 30 | Lecture 30 : Data Mining | Download |
| 31 | Lecture 31 : iSAT | Download |
| 32 | Lecture 32 : Diagnostic Analytics - SPM | Download |
| 33 | Lecture 33 : Sequential pattern mining (SPM-II) | Download |
| 34 | Lecture 34 : Differential Sequence Mining (DSM) | Download |
| 35 | Lecture 35 : Process Mining | Download |
| 36 | Lecture 36 : Diagnostic Analytics - Clustering | Download |
| 37 | Lecture 37 : K-means Clustering | Download |
| 38 | Lecture 38 : Hierarchical Clustering | Download |
| 39 | Lecture 39 : Clustering - Examples | Download |
| 40 | Lecture 40 : Predictive Analytics | Download |
| 41 | Lecture 41 : Linear Regression | Download |
| 42 | Lecture 42 : Multiple Regression | Download |
| 43 | Lecture 43 : Logistic Regression | Download |
| 44 | Lecture 44 : Linear Regression - Example | Download |
| 45 | Lecture 45 : Predictive Analytics-II | Download |
| 46 | Lecture 46 : Naive Bayes Classifier | Download |
| 47 | Lecture 47 : Decision Tree | Download |
| 48 | Lecture 48 : Decision Tree Classifier | Download |
| 49 | Lecture 49 : DT, NB - Examples | Download |
| 50 | Lecture 50 : Text Analytics | Download |
| 51 | Lecture 51 : Introduction to NLP | Download |
| 52 | Lecture 52 : NLP-II | Download |
| 53 | Lecture 53 : NLP-Tools | Download |
| 54 | Lecture 54 : NLP-Examples | Download |
| 55 | Lecture 55 : Intro Multimodal Learning Analytics | Download |
| 56 | Lecture 56 : Affective Computing -1 | Download |
| 57 | Lecture 57 : Affective Computing -2 | Download |
| 58 | Lecture 58 : Eye Tracking | Download |
| 59 | Lecture 59 : Revision of Learning Analytics tools course | Download |
| 60 | Lecture 60 : Source of Data collection and Research Community | Download |
| 61 | Lecture 61 : Machine Learning tools used in industry | Download |
| Sl.No | Chapter Name | English |
|---|---|---|
| 1 | Lecture 1 : Intro to Data Analytics. What is Learning Analytics? | Download Verified |
| 2 | Lecture 2 : Academic Analytics, and Educational Data Mining. | Download Verified |
| 3 | Lecture 3 : Four Levels of Analytics | Download Verified |
| 4 | Lecture 4 : Four Levels of Learning Analytics Overview -II | Download Verified |
| 5 | Lecture 5 : Data Collection from Different learning environment | Download Verified |
| 6 | Lecture 6 : Data collection in TELE | Download Verified |
| 7 | Lecture 7 : Data Preprocessing | Download Verified |
| 8 | Lecture 8 : Ethics in Learning Analytics, Student Privacy | Download Verified |
| 9 | Lecture 9 : Demo of Weka | Download Verified |
| 10 | Lecture 10 : Introduction to Machine Learning | Download Verified |
| 11 | Lecture 11 : Introduction to Machine Learning Part 2 | Download Verified |
| 12 | Lecture 12 : Training and testing data | Download Verified |
| 13 | Lecture 13 : Performance Metrics-I | Download Verified |
| 14 | Lecture 14 : Performance Metrics-II | Download Verified |
| 15 | Lecture 15 : Performance Metrics-III | Download Verified |
| 16 | Lecture 16 : Demo of Orange | Download Verified |
| 17 | Lecture 17 : Descriptive Analytics | Download Verified |
| 18 | Lecture 18 : Descriptive Analytics-II | Download Verified |
| 19 | Lecture 19 : Charts | Download Verified |
| 20 | Lecture 20 : Charts-II | Download Verified |
| 21 | Lecture 21 : Charts-II | Download Verified |
| 22 | Lecture 22 : Comparing Charts | Download Verified |
| 23 | Lecture 23 : Descriptive Analytics – Example I | Download Verified |
| 24 | Lecture 24 : Descriptive Analytics – Example II | Download Verified |
| 25 | Lecture 25 : Excel tool | Download Verified |
| 26 | Lecture 26 : Diagnostics Analytics | Download Verified |
| 27 | Lecture 27 : Correlation | Download Verified |
| 28 | Lecture 28 : Correlation Matrix | Download Verified |
| 29 | Lecture 29 : Spearman’s Rank Correlation | Download Verified |
| 30 | Lecture 30 : Data Mining | Download Verified |
| 31 | Lecture 31 : iSAT | Download Verified |
| 32 | Lecture 32 : Diagnostic Analytics - SPM | Download Verified |
| 33 | Lecture 33 : Sequential pattern mining (SPM-II) | Download Verified |
| 34 | Lecture 34 : Differential Sequence Mining (DSM) | Download Verified |
| 35 | Lecture 35 : Process Mining | Download Verified |
| 36 | Lecture 36 : Diagnostic Analytics - Clustering | Download Verified |
| 37 | Lecture 37 : K-means Clustering | Download Verified |
| 38 | Lecture 38 : Hierarchical Clustering | Download Verified |
| 39 | Lecture 39 : Clustering - Examples | Download Verified |
| 40 | Lecture 40 : Predictive Analytics | Download Verified |
| 41 | Lecture 41 : Linear Regression | Download Verified |
| 42 | Lecture 42 : Multiple Regression | Download Verified |
| 43 | Lecture 43 : Logistic Regression | Download Verified |
| 44 | Lecture 44 : Linear Regression - Example | Download Verified |
| 45 | Lecture 45 : Predictive Analytics-II | Download Verified |
| 46 | Lecture 46 : Naive Bayes Classifier | Download Verified |
| 47 | Lecture 47 : Decision Tree | Download Verified |
| 48 | Lecture 48 : Decision Tree Classifier | Download Verified |
| 49 | Lecture 49 : DT, NB - Examples | Download Verified |
| 50 | Lecture 50 : Text Analytics | Download Verified |
| 51 | Lecture 51 : Introduction to NLP | Download Verified |
| 52 | Lecture 52 : NLP-II | Download Verified |
| 53 | Lecture 53 : NLP-Tools | Download Verified |
| 54 | Lecture 54 : NLP-Examples | Download Verified |
| 55 | Lecture 55 : Intro Multimodal Learning Analytics | Download Verified |
| 56 | Lecture 56 : Affective Computing -1 | Download Verified |
| 57 | Lecture 57 : Affective Computing -2 | Download Verified |
| 58 | Lecture 58 : Eye Tracking | Download Verified |
| 59 | Lecture 59 : Revision of Learning Analytics tools course | Download Verified |
| 60 | Lecture 60 : Source of Data collection and Research Community | Download Verified |
| 61 | Lecture 61 : Machine Learning tools used in industry | Download Verified |
| 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 |