Essentials of Data Science With R Software - 2: Sampling Theory and Linear Regression Analysis
Indian Institute of Technology Kanpur and NPTEL via Swayam
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12
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Overview
INTENDED AUDIENCE :UG students of Science and Engineering. Students of humanities with basic mathematical and statistical background can also do it. Working professionals in analytics can also do it.PREREQUISITES : “Introduction to R Course” and “Essentials of Data Science With R Software – 1 - Probability and Statistical Inference” are preferred. Mathematics background up to class 12 is needed. Some minor statistics background is desirable.INDUSTRIES SUPPORT :All industries having R & D set up will use this course.
Syllabus
COURSE LAYOUT
Week 1:Introduction to data science and Calculations with R SoftwareWeek 2:Basic Fundamentals of SamplingWeek 3:Simple Random SamplingWeek 4:Simple Random Sampling with RWeek 5:Stratified Random SamplingWeek 6:Stratified Random Sampling with RWeek 7:Bootstrap Methodology with RWeek 8:Introduction to Linear Models and Regression and Simple linear regression Analysis
Week 9:Simple Linear Regression Analysis with RWeek 10:Multiple Linear Regression AnalysisWeek 11:Multiple Linear Regression Analysis with RWeek 12:Variable Selection using LASSO Regression
Taught by
Prof. Shalabh
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