/Python-for-data-analysis

Primary LanguageJupyter Notebook

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)