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    Quick Facts

    Medium Of InstructionsMode Of LearningMode Of Delivery
    EnglishSelf StudyVideo and Text Based

    Courses and Certificate Fees

    Fees InformationsCertificate AvailabilityCertificate Providing Authority
    INR 1000yesIIT Bombay

    The fees for Learning Analytics Tools is : 

    Fees typeAmount
    Exam feesRs. 1,000

    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

    Articles

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