Python Bootcamp for Data (2022)

In this course, you will learn how to work effectively with Python. You will understand how to use variables, create functions, and work with classes. That foundational knowledge will allow you to understand testing and testing techniques to validate your work and then move onto Pandas and Numpy which allows you to work effectively with data sets and other data science tasks.
This is valuable for anyone wanting to get a quick introductory course on Python, like a student, programmer new to Python or aspiring data engineer or data scientist. At the end of this course you'll be ready to work with more advanced concepts with Pandas and Numpy with a solid foundation in Python for any other task.
All lessons and videos have accompanying GitHub Repositories with example code.
This course has extensive content that covers Python for beginners and then moves onto more complex Python operations including data analysis, exploration, and manipulation with Pandas and NumPy. It will include the following learning objectives
Work with logic in Python, assigning variables and using different data structures
Create functions and classes of different types
Write, run, and debug tests using Pytest to validate your work
Manipulate data with Pandas
Create and modify NumPy arrays
This course is divided into content for 4 weeks, with 3 lessons per week
Week 1: Introduction to Python

https://github.com/alfredodeza/introduction-to-python

Working with variables and types
Introduction to Python data structures
Adding and extracting data from data structures
Week 2: Python functions and Classes
Working with functions
Building classes and using methods
Modules and advanced usage
Week 3: Testing in Python

https://github.com/alfredodeza/python-testing

Introduction to testing
Writing useful tests
Test failures
Week 4: Introduction to Pandas and Numpy

https://github.com/alfredodeza/pandas-and-numpy

Basic Pandas usage
Working with datasets
Introduction to NumPy
Python dictionaries Learn Module
Testing In Python book
Minimal Python book
Python for Beginners Learn Path
Practical MLOps book