Clean and analyze social media usage data with Python
In this project, you'll serve as a data analyst at a marketing firm specializing in social media brand promotion. Your task is to use Python to extract, clean, and analyze tweets in specific categories (health, family, food, etc.) and generate visualizations.
Your analysis will provide valuable insights to help clients enhance their social media performance and allow the firm to deliver tweets on time and within budget, leading to faster results.
There isn’t just one right approach or solution in this scenario, which means you can create a truly unique project that helps you stand out to employers.
ROLE: Data Analyst
SKILLS: Python
PREREQUISITES:
Python, Numpy, Matplotlib or Seaborn, Git, Jupyter Notebook
Watch on Coursera ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
Related AI Lessons
⚡
⚡
⚡
⚡
Feldwerke pulls a €12M revolving credit facility behind a 100 MW agri-PV roll-out
The Next Web AI
India Startup Funding May 12–18: The $63M Reality Behind the $303M Headline
Medium · Startup
Why Pre-IPO Investing Stays Off Most Retail Investors’ Radar And Why That’s Changing Fast
Medium · Startup
You’re Doing All the Admin Work, and Because of That, Your ‘Zone-of-Genius’ Work Is Pushed in the…
Medium · Startup
🎓
Tutor Explanation
DeepCamp AI