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Real-time Insights from Social Media Data

Learn to analyze Twitter data and do a deep dive into a hot trend.

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10 Tasks1,500 XP

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Project Description

Fear of missing out, curiosity, self-esteem, speed: it's like social media has changed our basic human needs; these baits are keeping us hooked and engaged. And Twitter is a master at this *game*. Elon Musk's tweets keep Wall Street on its toes; Trump's tweets have the potential of starting wars — Twitter has this huge influence on the world because of the type of its users. Data from *Twitter-storms* is available in near real-time. This means we can learn about the big waves of thoughts and moods around the world as they arise. So of course, we are not going to miss the chance to analyze this treasure trove. In this Project, you will use pre-downloaded datasets to understand the nuts and bolts of Twitter Data. In particular, you will do a thorough analysis of a hot-trend. _Warning: Some of the tweets in the Twitter datasets contain explicit language._

Project Tasks

  1. 1
    Local and global thought patterns
  2. 2
    Prettifying the output
  3. 3
    Finding common trends
  4. 4
    Exploring the hot trend
  5. 5
    Digging deeper
  6. 6
    Frequency analysis
  7. 7
    Activity around the trend
  8. 8
    A table that speaks a 1000 words
  9. 9
    Analyzing used languages
  10. 10
    Final thoughts
Python Python
Data ManipulationData VisualizationProbability & StatisticsImporting & Cleaning Data
Samia Khalid Headshot

Samia Khalid

Senior Software Engineer at Microsoft
Samia is a Sr. Applied AI Engineer at Microsoft. She is working with large-scale distributed systems to power new intelligent experiences in Office 365 and Outlook. She believes that learning should be easy, fun and intuitive. Seeing the challenges faced by her friends and colleagues in learning data science and machine learning led her to start her own machine learning blog as well ( She is passionate about education and sharing what she learns to pave the way for others.
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