Data Column | Institute for Advanced Analytics
The Collaborative Blog for Students in the Master of Science in Analytics
Gone are the nights spent stuck on code, just to realize one hour later that the villain was a missing semicolon and a misspelled function name. My use of generative AI to work through similar issues exponentially increased my productivity and understanding, cutting down my working time by an estimated 30%. Continue reading How AI Accelerated my Learning at the IAA
Raw data could be messy and inconsistent. Before any meaningful insights can be generated, the first thing we need to do is to clean and explore the data, which leads us to the important question: what tool should we use to facilitate this crucial step? Generally speaking, there are two Continue reading Data Preprocessing: SQL vs. Python
When helping coworkers and fellow students set up their VS Code environments, I’ve noticed that understanding how to properly install, activate, and use Conda is one of the biggest challenges. For anyone working in data science, Conda is an essential tool that simplifies package management by creating isolated environments, which Continue reading Using Conda in VS Code: Why It Matters and How to Do It
Sketch a monster. Now, sketch it using only Python. How simple is it to remove the colored pencils and only use code? For me, it was surprisingly challenging. My goal was to explore creative coding as a way to practice my Python skills while engaging with my more imaginative side. Continue reading Creative Coding – What are the Monsters in the Dark?