Contents
My learning progress of Python for Data Science, AI & Development course on Coursera. I will learn at least 30 mins per day - 2 modules per week.
| Modules | Review | Learning | Date Finished |
|---|---|---|---|
| Module 1 - Python basics | Basics of Python syntax, variables, data types, and operations. | Understood | Apr 28, 11:59 PM |
| Module 2 - Python Data Structures | Fundamental Python data structures of lists, tuples, dictionaries, sets along with common methods for basic operations. | Understood | May 9, 1:29 PM |
| Module 3 - Python Programming Fundamentals | Fundamental programming with Python data structures, while and for loops, checking conditions, common errors, and handling errors with try-except-finally statements. | Understood | May 11, 12:02 AM |
| Module 4 - Working with Data in Python | Working with data to read and write files, performing basic data analysis operations with Pandas and Numpy along with basic matrix operations | Understood | May 13, 10:33 PM |
| Module 5 - APIs and Data Collection | In Progress |
Discipline
When you’re on your own progress, you’ll instantly become confident. “Fill in gaps in your knowledge while you’re young” - brain