Python 101 for Data Science – IBM
I completed IBM’s Python 101 for Data Science course through Cognitive Class in June 2020. It covered Python basics, data structures and working with data in Jupyter Notebook.
The exercises included reading files and using Pandas to load, inspect and save datasets.
Category
Programming
Issued By
IBM (via Cognitive Class)
Issue Date
June 10th, 2020
No Expiry
July 14th, 2026
Certification ID
dda715ce5710442785475bb2cca826a0
Verification Links
Course Curriculum
Python basics
Types, expressions, variables and strings.
Data structures
Lists, tuples, sets and dictionaries.
Programming fundamentals
Conditions, loops, functions, objects and classes.
Working with data
Reading and writing files, and loading, manipulating and saving data with Pandas.
What I learned
I practised Python syntax and data handling in notebooks. The exercises helped me get comfortable with Pandas and with writing small, reusable scripts.
Where I use it
I use these skills to inspect structured data during control testing and to automate repetitive checks. File handling and scripting are also part of my work on audit automation.
The course gave me another way to practise Python, this time with a focus on data. It complemented the programming course I had completed in 2019.