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Online Course

Data Analytics with Python

Indian Institute of Technology Roorkee and NPTEL via Swayam

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Overview

We are looking forward to sharing many exciting stories and examples of analytics with all of you using python programming language. This course includes examples of analytics in a wide variety of industries, and we hope that students will learn how you can use analytics in their career and life. One of the most important aspects of this course is that you, the student, are getting hands-on experience creating analytics models; we, the course team, urge you to participate in the discussion forums and to use all the tools available to you while you are in the course!
INTENDED AUDIENCE : Management, Industrial Engineering and Computer Science Engineering Students
PREREQUISITES : Nill
INDUSTRY SUPPORT : Any analytics company

Syllabus

COURSE LAYOUT Week 1 : Introduction to data analytics and Python fundamentals Week 2 : Introduction to probability Week 3 : Sampling and sampling distributions Week 4 : Hypothesis testing Week 5 : Two sample testing and introduction to ANOVA Week 6 : Two way ANOVA and linear regression Week 7 : Linear regression and multiple regression Week 8 : Concepts of MLE and Logistic regression Week 9 : ROC and Regression Analysis Model Building Week 10 : c2Test and introduction to cluster analysis     Week 11 : Clustering analysis Week 12 : Classification and Regression Trees (CART)  

Taught by

Prof. A Ramesh

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