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.

Clean and analyze social media usage data with Python

Clean and analyze social media usage data with Python

Instructor: David Dalsveen
14,040 already enrolled
What you'll learn
Increase client reach and engagement
Gain valuable insights that will help improve social media performance
Achieve their social media goals and provide data-driven recommendations
Skills you'll practice
Tools you'll use
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Only available on desktop
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About this Guided Project
Learn step-by-step
In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:
Import required libraries
Generate random data for the social media data
Load the data into a Pandas DataFrame and explore the data
Clean the data
Visualize and analyze the data
Recommended experience
Python, Numpy, Matplotlib or Seaborn, Git, Jupyter Notebook
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How you'll learn
Skill-based, hands-on learning
Practice new skills by completing job-related tasks.
Expert guidance
Follow along with pre-recorded videos from experts using a unique side-by-side interface.
No downloads or installation required
Access the tools and resources you need in a pre-configured cloud workspace.
Available only on desktop
This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.
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Reviewed on Feb 19, 2024
Nice course with detailed materials and explanations, thank you




