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Data Science

DATA SCIENCE COURSE

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

DATA MINING/MACHINE LEARNING ALGORITHMS

Supervised Learning

  • Na���ve Bayes Algorithm
  • K-nearest Neigbour Algorithm
  • Decision Trees ( SingleTree )
  • Random Forest
  • Support Vector Machines
  • Linear Discriminant Analysis
  • Neural Network

Model Ensembling

  • Bagging
  • Boosting
  • Stacking

Unsupervised Learning

Cluster Analysis

  • Hierarchical Clustering
  • K-means Clustering

Association Rules Mining

Principal Components Analysis

Natural Language Processing(NLP)/ Text Mining

  • Term Document Matrix
  • TF-IDF

DATA VISUALIZATION using TABLEAU

Introduction to Tableau

  • Introduction to Tableau
  • Installing Tableau Public
  • Data Connection
  • Tableau Environment
  • Sorting
  • Data Types

Tableau Architecture

Basics Statistics

Basic Charts

Deep Dive into Popular Chart Suggestions

Data Visualization Principles

Features of Tableau

  • Parameters
  • Actions
  • Calculated Fields
  • Sets
  • Groups

Tableau Maps

Introduction to Tableau Server

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