Python 101 for Data Science – IBM.

About The Course

This course is an introduction to Python, it gave a kick-start to my learning of Python for data science, as well as programming in general. This is a beginner-friendly Python course which started from very basics and went high level in a matter of hours.
Upon its completion, I was able to write my own Python scripts and perform basic hands-on data analysis using our Jupyter-based lab environment.

Here is the course curriculum, it was divided into 4 modules.

Module 1 – Python Basics – Types Expressions and Variables, String Operations.
Module 2 – Python Data Structures – Lists and Tuples, Sets, Dictionaries.
Module 3 – Python Programming Fundamentals – Conditions and Branching, Loops, Functions, Objects and Classes.
Module 4 – Working with Data in Python – Reading files with open,Writing files with open,Loading data with Pandas,Working with and Saving data with Pandas.