Data Analysis with Python

Course Outline

1. Introduction to Data Analysis

   • What is data analysis

   • Why data analysis

   • Types of data analysis

   • Process flow of data analysis

2. Introduction to NumPy

   • Pandas & NumPy Intro

   • Numpy Arrays & Array Properties

   • Array Creation

   • Random Number Generation

   • Indexing & Slicing Arrays

   • Array Operations

3. Introduction to Pandas

   • Defining pandas library

   • Why do we need pandas library

   • Pandas data structure

   • Exploring the data of a DataFrame

   • Selecting data from DataFrame

   • Data cleaning in pandas DataFrame

   • Grouping and aggregation

   • Sorting and ranking

   • Adding row into DataFrame

   • Adding column into DataFrame

   • Dropping the row/column from DataFrame

   • Concatenating the dataframe

   • Merging/joining the dataframe

   • The merge() function

   • The join() function

   • Writing the DataFrame to external files.

4. Data Visualisation with Matplotlib

   • What is data visualisation

   • What is Matplotlib

   • Getting started with Matplotlib

   • Line plot using Matplotlib

   • Customising the plot

   • Some basic types of plots in matplotlib

   • Export the plot into a file