Python-for-data-analysis

Introduction to Python for data analysis, comprising Python primer, data preprocessing, data wrangling, and data visualization

Python Basics

1. Basic Data Types

• Boolean
• Integer
• Float
• String

2. Python Data Structures

• Tuple
• List
• Set
• Dictionary

3. Conditionals and Loops

• If statement
• For loop
• While loop

4. Functions and Modules

• Python functions
• Customized functions
• Python modules
• Packages and libraries

5. File Handling

• Opening and reading files
• Opening and writing files

NumPy

1. NumPy Primer 1

• NumPy
• NumPy Arrays

2. NumPy Primer 2

• Array indexing & slicing
• Array Operations
• Array Functions

3. NumPy Primer 3

• Importing datasets
• Processing data
• Summarizing data

4. Advanced NumPy

• More on array manipulation
• Broadcasting

Pandas

1. Pandas 1

• Pandas
• Series
• DataFrames

2. Pandas 2

• Reading files (csv, excel, url)
• Exporting data
• Exploring data

3. Advanced Pandas 1

• Sorting
• Filtering
• Grouping

4. Advanced Pandas 2

• Row-wise manipulation of DataFrames
• Merging DataFrames

Data Visualization

1. Data Visualization 1

• Matplotlib
• Basic plots
• Figures and subplots
• More plot settings

2. Data Visualization 2

• Using Matplotlib the Pythonic way
• More plots

3. Data Visualization 3

• Saving plots
• Changing fonts (feat. How to use Korean letters in Matplotlib)