R and Python

#### Introduction

• Types of data
• Measures of central tendency and dispersion
• Statistical Graphics
• Probability and Probability Distributions
• Binomial Distribution
• Poisson Distribution
• Normal Distribution

#### DATA SCIENCE USING R AND PYTHON

• R Programming Basics
• R Programming
• Data Types
• Visualizing the Data

#### Estimation Theory

• Sampling Distribution
• Point Estimation
• Interval Estimation

#### Testing of Hypothesis

• Inference about one population means
• Inference about two populations means
• Analysis of Variance

#### Regression Analysis

• Correlation coefficient
• Simple Linear Regression
• Multiple Linear Regression
• Logistic Regression

#### Time Series Analysis and Forecasting

• Moving Average
• Simple Exponential Smoothening
• Holt-Winter's Method
• ARIMA Models

## PYTHON Programming Basics

• Data Types
• Anaconda Installation
• Numpy, Pandas, Dictionaries
• Reading and Writing Data: Text files, Excel sheets
• Subsetting the data
• Control Structures
• Creating Functions

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