course4-ds-ibm-notes.md

Course 4: Python for Data Science, AI & Development

What you'll learn:

• Describe Python Basics including Data Types, Expressions, Variables, and Data Structures.
• Apply Python programming logic using Branching, Loops, Functions, Objects & Classes.
• Demonstrate proficiency in using Python libraries such as Pandas, Numpy, and Beautiful Soup.
• Access web data using APIs and web scraping from Python in Jupyter Notebooks.

Skills you'll gain: Python Programming, Dashboards and Charts, dash, Data Visualization, Matplotlib

Table of Contents

• W1: Python Basics
• W2: Python Data Structures
• W3: Python Programming Fundamentals
• W4: Working with Data in Python
• W5: APIs, and Data Collection
• References

W1: Python Basics

Notebooks:

• Module_1_1
• Module_1_2
  • python-back-to-basics

Docs:

• Python Cheat Sheet - The Basics

W2: Python Data Structures

Notebooks:

• Module_2_1
• Module_2_2
• Module_2_3
• Module_2_4

W3: Python Programming Fundamentals

Notebooks:

• Module_3_1
• Module_3_2
• Module_3_3
• Module_3_3_1
• Module_3_4

W4: Working with Data in Python

Notebooks:

• Module_4_1
• Module_4_2
• Module_4_3

W5: APIs, and Data Collection

Notebooks:

• Module_5_1
• Module_5_2
• Module_5_3
• Module_5_4

References

• The Python Tutorial Documentation