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R and Python

FUNDAMENTALS OF STATISTICS

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
  • Reading data, Subsetting Data
  • Visualizing the Data

Statistical Inference

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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