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References
BANA 7025: Data Wrangling with Python
Welcome
Module 1: Getting Started
1
Introduction
2
Setting Up Your Python Environment
3
Python Basics – Working with Data and Variables
Module 2: Python Data Science Ecosystem
4
Getting Started with Jupyter Notebooks
5
Introduction to Data Structures
6
Packages, Libraries, and Modules
Module 3: DataFrames & Importing Data
7
Importing Data and Exploring Pandas DataFrames
8
Deeper Dive on DataFrames
9
Subsetting Data
Module 4: Data Manipulation
10
Manipulating Data
11
Summarizing Data
12
Relational data
Module 5: Data Visualization & EDA
13
Intro to Data Visualization with Pandas
14
Advanced Data Visualization
15
Exploratory Data Analysis
Module 6: Creating Efficient Code
16
Controlling Program Flow with Conditional Statements
17
Controlling Repetition with Iteration Statements
18
Writing Your Own Functions
References
Cheat Sheets
19
Module 1 Cheat Sheet
20
Module 2 Cheat Sheet
21
Module 3 Cheat Sheet
22
Module 4 Cheat Sheet
23
Module 5 Cheat Sheet
24
Module 6 Cheat Sheet
Appendices
A
Anaconda Installation
B
VS Code Installation
References
18
Writing Your Own Functions
19
Module 1 Cheat Sheet