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
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Demonstrate your skills to employers, and leverage industry tools to solve real-world challenges
Intermediate level
Recommended experience
8 hours
Complete at your own pace
Objectives
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 demonstrate
Details to know
Shareable work sample
Add to your Coursera profile
Taught in English
No downloads or installation required
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About this Project
Project plan
This project requires you to independently complete the following 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
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