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Overview of Data Science course

Module 1- Introduction

Session 1- Introduction to Artificial Intelligence

Session 2- What is Data Science and roadmap to become a Data Scientist

Session 3- Databases and Terms

Module 2- Introduction to R programming

Session 1- Installation of R studio

Session 2- Introduction to Programming Language and Understanding R

Session 3- Data types in R

Session 4- Operators in R

Session 5- Conditional Statements

Session 6- Loops

Session 7- Functions in R

Session 8- Lab - R programming

Module 3- Probability

Session 1- Introduction to Probability _ Concepts

Session 2- Probability Uses _ Introduction to Distributions

Session 3- Discrete Distributions

Session 4- Continuous Distributions

Module 4- Data Preprocessing in R

Session 1- Data Preprocessing _ Data Cleaning

Session 2- Data Integration

Session 3- Data Transformation

Session 4- Preprocessing Implementation

Module 5- Data Manipulation in R

Session 1- Apply Family

Session 2- Dplyr Package

Session 3- Data Manipulation Implementation

Module 6- Statistics and Feature Engineering

Session 1- Statistics Introduction

Session 2- Statistics Concepts

Module 7- Introduction to Visualization

Session 1- Basic Plots

Session 2- Advance Plots

Session 3- Visualization on Data

Module 8- Tableau

Session 1- Introduction and Installation

Session 2- Introduction and Data Sources _ Working with Worksheets

Session 3- Data Filtering _ Sorting

Session 4- Creating Charts _ Visualization

Session 5- Dashboarding & Advance Visualizations

Module 9- Machine Learning

Session 1- Machine Learning and Concepts

Session 2- Supervised Machine Learning

Session 3- Classification _ Techniques

Session 4- Regression _ Techniques

Session 5- Unsupervised Machine Learning

Session 6- Clustering Implementation

Session 7- Classification and Regression Implementation

Module 10- Ensemble Method, Deep Learning and Evaluation Metrics

Session 1- Ensemble Methods

Session 2- Deep Learning Introduction

Session 3- Random Forest Implementation

Resources (Reference files used in lectures)

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Data Science Project

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Data Science Final Exam

Preview - Data Science with R