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# Statistical Fundamentals of Data Science Part-1 (SFDS-01)

Learn to analyze and visualize data in R and gain proficiency in descriptive statistics, probability, hypothesis testing, and regression.

## Overview

# What You Will Learn

**Part-1: Introduction to R**– Basic Operations in R – Objects and Functions – Graphical Visualization of Data

**Part-2: Probability and Probability Distributions**– Probability: Conditional Probability and Bayes’ Theorem – Probability Distributions: Binomial, Poisson and Normal – Descriptive Statistics: Central Tendency, Dispersion, Skewness and Kurtosis

**Part-3: Sampling Distributions and Hypothesis Testing**– T-Distribution – Confidence Intervals – Type-I and Type-II errors – T-tests and ANOVA

**Part-4: Hypothesis Testing (cont’d)**– Correlation and Regression – F-Test and Homogeneity of Variance – Chi-Squared

## Curriculum

## Instructor

Ramdas Menon has an M.Tech in chemical engineering from IIT-M, and was a Six Sigma Black Belt at GE and Pfizer before setting up Ekaagra. He holds two certifications from the ASQ - CSSBB and CRE - and has conducted programs on Statistical Methods including DOE at several corporates such as Huntsman, Pidilite, TVS Srichakra, Dr Reddys and MRF from 2008 onwards.

## Reviews

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### Course Features

- Lectures 6
- Quizzes 0
- Duration 15 hours
- Skill level All levels
- Language English
- Students 59
- Assessments Yes