data science - Data Science with Python Data Science with Python - Introduction to Data Science - Python Basics for Data Science - Learning of Programming Concept - Understanding Data - Working with Data in Python - Introduction to NumPy - Data Science Methodology Introduction to Data Science - What is Data Science? - Need and Career in Data Science - Essential Applications for Data Science Python Basics for Data Science - Learning Objectives - Your first program in python - Data Types - Expressions and Variables - Write your First Python Code - String Operations - Arithmetic and Logical Operators - Relational Operators Learning of Programming Concept - Debugging - Functions - If..Else Statements - Looping, Nested Loops - For Loop, While Loop - Lists in Python - Tuple - Dictionary Understanding Data - Importance of Data - Structured and Unstructured Data - Data Collection - Data Storage - Data Processing - Statistical Techniques for Data Processing - Measures of Central Tendency - Measures of Variability Working with Data in Python - Reading files with open - Reading Files - Writing files with open - Writing Files - Loading data with Pandas - Working with and Saving data with Pandas - Loading Data and Viewing Data Introduction to NumPy - NumPy Array - Indexing and Slicing - Operations on Arrays - Concatenating Arrays - Reshaping Arrays - Splitting Arrays - Statistical Operations on Arrays - Loading Arrays from Files - Saving NumPy Arrays in Files on Disk Data Science Methodology - From Business Understanding to Analytic Approach - From Requirements to Collection - From Understanding to Preparation - From Modeling to Evaluation - From Deployment to Feedback