PANDAS PROJECTS
DataFrames, cleaning, and aggregation. Master the library every real-world data analysis pipeline in Python runs on.
Project 1: Team Roster DataFrame
Project 2: Page Views Series
Project 3: Meal Calories Lookup
Project 4: Photo Likes Table
Project 5: Team CSV Importer
Project 6: Testimonials CSV Loader
Project 7: Menu JSON Loader
Project 8: Guest List Excel Reader
Project 9: Destinations SQL Query
Project 10: Missing Listings Finder
Project 11: FAQ Views Summary
Project 12: Incomplete Product Cleaner
Project 13: Job Posting Date Parser
Project 14: Subscriber Age Corrector
Project 15: Duplicate Message Remover
Project 16: Login Hour Counter
Project 17: Clicks vs. Time Correlation
Project 18: Signups by Country
Project 19: Session Duration Summary
Project 20: Revenue Rolling Average
Project 21: Songs & Plays Merge
Project 22: Videos Left-Join Views
Project 23: City Weather Join
Project 24: Events Concatenator
Project 25: Channel Message Pivot
Project 26: Crypto Prices Melt
Project 27: Task Status Bar Chart
Project 28: Traffic Trend Line Chart
Project 29: Sales Channel Comparison Chart
Project 30: Top Customers Report
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Who is this for?
The Absolute Beginner
You've never written a line of code. You want a clear, non-intimidating path to start your career.
The "I'm Stuck" Dev
You know some tags but can't build a page from scratch. You need to understand the "why" behind the structure.
FAQ
Q: Is this course really free?
Yes. 100%. All core knowledge on Code Syllabus is free to access.
Q: Do I need any special software?
Just a browser. We provide an integrated coding environment for all exercises.
Q: How long does it take?
The HTML module is designed to be completed in about 5-8 hours of focused work.