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,...
By David Dalsveen on Coursera
About This Course
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
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Frequently Asked Questions
How much does Clean and analyze social media usage data with Python cost?
Visit the Clean and analyze social media usage data with Python course page for current pricing and available discounts.
Who teaches Clean and analyze social media usage data with Python?
Clean and analyze social media usage data with Python is taught by David Dalsveen, Coursera.
What skill level is Clean and analyze social media usage data with Python for?
This course is designed for all levels learners.
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