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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