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Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Courses and Certificate Fees
| Fees Informations | Certificate Availability | Certificate Providing Authority |
|---|---|---|
| INR 1000 | yes | IIT Bombay |
The Syllabus
- Intro To Data Analytics
- What is LA! Definition
- Academic Analytics, and Educational Data Mining
- Four Levels of Analytics
- Descriptive, Diagnostic, Predictive and Prescriptive Analytics
- Data Collection from Different learning environment
- Technology Enhanced Learning, Classroom and MOOC environment
- Preprocessing
- Ethics in Learning Analytics, Student Privacy
- Intro to Machine Learning
- Supervised and Unsupervised learning
- Regression, Clustering and Classification
- Metrics for ML algorithms –Recall, Precision, Accuracy, F-Score and Kappa
- Demo of ML algorithms using Orange
- Descriptive Analytics
- Data Visualization
- Data visualization using Excel
- Dashboard Analytics
- Dashboard of Youtube, MOOC
- Intro to iSAT
- iSAT Demo with example
- Diagnostic Analysis
- Correlation
- Sequential Pattern Mining
- SPM tool Demo
- Process Mining
- ProM Tool Demo
- Predictive Analytics
- Modeling – Feature Selection
- Linear Regression
- Demo of Linear Regression using Weka
- Decision Tree
- Demo of Decision Tree using Orange
- Naïve Bayes algorithm
- Demo of Naïve Bayes
- Clustering in predictive algorithm
- K-Means clustering
- Demo of K-Means clustering
- Text analytics
- Words, Token, Stem and lemma
- Minimum edit distance
- Develop algorithm to automatically grade subjective answers
- Demo of Word embedding
- Intro Multimodal Learning Analytics
- Eye-gaze data collection
- Affective computing
- Aligning and analyzing data from Multiple sensors
- Advanced topics in LA
- How to apply LA in our class
- Data repos, Research papers to read, and where to present your work
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