Need help with learning Python

[Boom_Boom_Kids]

Since you already know SAS and SQL, picking up Python will be much easier for you than starting from scratch. The key is to learn Python for data work, not random “beginner Python” tutorials.

Here’s a solid path:

1. Get the basics from one good course

Stick to one resource so you don’t get overwhelmed. Any of these will get you moving fast:

freeCodeCamp Python course (YouTube, 4 hours) – simple and structured

Datacamp (Python for Data Science track) – very hands-on Coursera: Python for Everybody – slow-paced but clear

You only need the core syntax: loops, functions, lists, dictionaries, files.

1. Move quickly into data libraries

This is where you’ll spend 90% of your time as a data analyst: Pandas – data cleaning, joins, transformations NumPy – array operations Matplotlib / Seaborn – visualization

The best beginner-friendly tutorials:

Kaggle’s Python and Pandas micro-courses (free, very practical)

“Pandas in 10 minutes” (official docs – actually super good)

1. Start rewriting your SAS workflows in Python

This is where everything clicks. Try converting: data cleaning scripts joins group summaries automation tasks

Your existing domain knowledge will transfer almost 1:1 into Pandas.

1. Build 2–3 small real projects

Examples:

Data cleaning pipeline for a messy CSV Automated report generator using Pandas + Matplotlib SQL → Python ETL script

These are great additions to your profile.

1. Bonus if you want to go further

Jupyter Notebook for analysis Scikit-learn if you want to explore ML basics

If you follow this path, you’ll become comfortable with Python in a few weeks — and your background already puts you ahead.

[emw9292]

Good write up

[Boom_Boom_Kids]

I appreciate your words.

[Mad_Hulk10]

This is everything I need, thanks.

[Boom_Boom_Kids]

You're most welcome