Introduction to Data Science

Course Introduction

Why you should do data science?

Real World Case Studies

What is Data Science?

The lifecycle of Data Science

Sample case study for data Science

Who is data Scientist?

The Data Scientist’s Toolbox

Data Science and Relation with Other Technologies

Data Scientists vs. Data Analysts vs. Data Engineers

"What’s the difference between data science, artificial intelligence, and machine learning"

Big data and data Science

Data science and cloud computing

Data Science and Business Analytics

Data Science Environment and Tools

Data Science Working Environment

Languages for Data Science

Data Science Tools (Open Source and Commercial )

Data Science Environment Setup

Data Science Environment Setup

Installing Anaconda

Data Science Environment in Anaconda

Practice on Jupyter Notebook

Need of Version Control System

Overview of Version Control System

Types of Version Control System

Code Asset Management using Github

Practice on Github

Data Sources

Understanding Problem Statement

The Problem-Part 1

The Problem-Part 2

Data Science Problem Formulation-1

Data Science Problem Formulation-2

Understanding Data

Data Assistment

Data Exploration

Data Exploration Practical-1

Data Exploration Practical-2

Export Notebook in HTML Format

Statistics for Data Science

Basics of Statistics

Data in Statistics

Quantitative and Qualitative Data

Terminologies in Statistics

Terminologies in Statistics-2

Terminologies in Statistics-3

Practical Example

Non-Probability sampling techniques

Types of Statistics

Python Libraries for Statistics