Buy Now Free

Clean and analyze social media usage data with Python
  • Level Professional
  • المدة 2 ساعات hours
  • الطبع بواسطة Coursera Project Network
  • Offered by

عن

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

الوحدات

Part 1: Overview

    • 3 Readings
Show info about module content

3 Readings

  • Getting Started
  • The Project Scenario
  • See Example Projects

Part 2: Build Your Project

    • 4 Readings
    • 1 Plugin
    • 1 Lab
Show info about module content

1 Labs

  • Option A: Using Coursera's Jupyter Notebook

4 Readings

  • Choose Your Platform
  • Option B: Working Off-Platform
  • Feeling stuck? Here are some helpful resources
  • Review Your Project Checklist

Part 3: Sharing with Employers

    • 1 Readings
Show info about module content

1 Readings

  • Learn how Coursera helps you showcase your work to employers

Auto Summary

Enhance your data analysis skills with our "Clean and Analyze Social Media Usage Data with Python" course, designed for aspiring data analysts in the IT and Computer Science domain. Guided by expert instructors on Coursera, you will embark on a practical project that simulates the role of a data analyst at a marketing firm focused on social media brand promotion. Dive into the world of Python to extract, clean, and analyze tweets across various categories such as health, family, and food. Learn to generate insightful visualizations that can help clients optimize their social media strategies, ensuring timely and budget-friendly tweet delivery for better results. This professional-level course, lasting approximately 120 hours, requires a foundational knowledge of Python, Numpy, Matplotlib or Seaborn, Git, and Jupyter Notebook. Available through a Starter subscription, it offers a flexible learning pace suitable for dedicated professionals seeking to distinguish themselves in the competitive job market. Join now and create a standout project that showcases your unique approach and analytical prowess.

David Dalsveen
Instructor

David Dalsveen