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Analyzing Social Media Data in R
4.9(90)6k studentsINTERMEDIATEEnglish
Korshub's take
The Korshub Take
This intermediate course focuses on extracting actionable insights from social media streams using R. By analyzing tweets regarding celebrities, sports, and tech trends, learners discover how social data can shape marketing campaigns, competitor analysis, and customer engagement.
Who It's For
R programmers, marketers, and data analysts interested in leveraging social media analytics to optimize campaign strategies and measure engagement.
Key Takeaways
- Twitter Data Mining: Extract, clean, and visualize social media data using R tools.
- Network & Geolocation Mapping: Perform social network analysis and plot the geographical distribution of tweets.
- Market & Competitor Insights: Evaluate customer engagement and monitor competitor activity across diverse industry datasets.
About this course
Analyzing data from social media can provide you with valuable insights. It can inform campaign strategies, improve marketing and sales, measure customer engagement, perform competitor analysis, and identify untapped networks. In this course, you’ll use R to extract and visualize Twitter data, perform network analysis, and view the geolocation of tweets. You’ll use a variety of datasets to put what you’ve learned into play, including tweets about celebrities, technology companies, trending topics, and sports.
Price
Free
This course is free to enrol.
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