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math-260's Introduction

MATH-260 (Multivariate Data Analysis)

Course Name: Multivariate Data Analysis (MDA)

Participants: BSc Mathematics and Data Science students of Sorbonne University

Faculty Name : Dr. Tanujit Chakraborty, Assistant Professor of Statistics at Sorbonne University and Sorbonne Center for AI (SCAI)

Timeline : January 2023 to April 2023 | Total Teaching : 45 Sessions (20 Theory + 5 Tutorials + 20 Practicals)

Email: [email protected]

Course Website: https://www.ctanujit.org/mda.html

The details of the courses are given below:

Theoretical class notes (written on boards) are available under the folder Classnotes

Tutorial Exercises are avaiable under the folder Tutorial Worksheets

Slides, Data and Codes are avaailbe under Week folders.

Week-1: Introduction to the MDA Course + Reap of Descriptive Statistics + Introduction to RStudio (Practicals using datasets)

Week-2: Exploratory Data Analysis using R + Recap of Probability Distributions

Week-3: Sampling Distributions and Estimation Theory + Application of Exponetial Distribution using RStudio

Week-4: Testing of Hypothesis and ANOVA (using RStudio)

Week-5: Correlation Analysis and Simple Linear Regression using RStudio

Week-6: Multiple Linear Regression using RStudio

Week-7:

Week-8:

Week-9:

Week-10:

Week-11:

Week-12:

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