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
- Data Analysis
- Trend Analysis
- Matplotlib
- Jupyter
- Social Media
- Pandas (Python Package)
- Seaborn
- Data Visualization
- Python Programming
- Social Media Marketing
- Exploratory Data Analysis
- Data Cleansing
- Web Scraping
- Skills section collapsed. Showing 11 of 13 skills.
Details to know
Shareable work sample
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Taught in English
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About this Project
Project plan
This project requires you to independently complete the following steps:
-
Import required libraries
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Generate random data for the social media data
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Load the data into a Pandas DataFrame and explore the data
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Clean the data
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Visualize and analyze the data
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