A Brief Introduction to Python for Data Analytics

Instructor

George Milunovich
george.milunovich@mq.edu.au
Associate Professor
Department of Actuarial Studies and Business Analytics
Macquarie University
Sydney, Australia

Assistant Instructors

• Yuanyuan Zhao
• Jonathon Mahon

Registration

• Eventbrite page

Instructions

1. Install Anaconda Navigator
2. Workshop zip File - Download and unzip the workshop file
3. Open Anaconda Navigator, Launch Jupyter Lab, Navigate to unzipped directory

• If having issues with Anaconda open the notebooks from Github in Google Colab

Shared Google Doc

https://tinyurl.com/yra38vc3

References

1. Python Programming for Economics and Finance
2. Introduction to Python for Econometrics, Statistics and Numerical Analysis: Fourth Edition
3. Difference Between Python Modules, Packages, Libraries, and Frameworks

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Contents

• Part 0 - About Python
  • Why Python
  • Important Libraries for Data Analysis and Research
• Part 1 - Installing & Running Python
  • Installing and Running Python
  • Learning How to open and read Jupyter Notebooks (.ipynb) with JupyterLab
• Part 2: Basic Python Syntax 1
  • Python Indentation
  • Data Types
  • Variables
  • Changing Variable Values
• Part 3: Basic Python Syntax 2
  • Collections
  • Lists
  • The if Statement
  • The for Loop
  • Functions in Python
  • Classes in Python
• Part 4: Intro to Data Analysis
  • Libraries
  • pandas
  • Working with pandas DataFrame
  • Making Predictions with sklearn