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R Programming: How to Use It to Analyze Twitter Data

Learn to acquire and analyze real-time Twitter data using R programming, identify emotions in tweets & gain valuable insights for informed decision making.

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Last updated 5/2024 English

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Overview

Every single day, the popular social media platform Twitter (now renamed as X) generates an astonishing number of tweets, surpassing a staggering 500 million tweets worldwide. This immense volume of tweets creates an expansive reservoir of data that holds a wealth of valuable information. However, accessing and analyzing this vast amount of data requires specific knowledge and skills. Fortunately, this comprehensive course is designed to provide participants with the necessary guidance on how to effectively acquire and analyze real-time Twitter data using the powerful R programming language.

Throughout the duration of this course, participants will have the opportunity to learn and master the fundamental techniques of data analysis specifically tailored for Twitter data. By delving into the intricacies of this analysis, participants will gain valuable insights into identifying the emotions expressed within the collected tweets, ultimately leading to a deeper understanding of the sentiments shared on the platform.

It is important to note that this course heavily relies on the utilization of R Programming. Therefore, having a solid understanding of R Programming is essential for participants to fully benefit from the course. However, even individuals who are proficient in other programming languages, such as Python, can still derive significant value from this course. By acquiring a comprehensive understanding of Twitter data analysis, participants can effectively apply their newfound knowledge and skills in their preferred programming language, thereby expanding their skill set and enhancing their overall data analysis capabilities.

In conclusion, this course offers a highly valuable opportunity for individuals to immerse themselves in the fascinating world of Twitter data analysis. By equipping participants with the necessary tools, techniques, and knowledge, this course empowers them to unlock the hidden insights within the vast amount of tweets generated on a daily basis. With the ability to effectively analyze Twitter data, participants will be well-equipped to make informed decisions, gain valuable insights, and contribute to the ever-evolving field of data analysis.

Who this course is for
  1. Students
  2. Researchers
  3. Data Analysts
  4. Data Scientists
  5. Computer Software Programmers
Testimonials

It's a great course, thank you very much, Mr. Majumdar, you are the best ~ N Saihood

What you'll learn
  1. Gathering Data from Twitter
  2. Using Twitter API
  3. Using Google Map API
  4. Analysing Twitter Data
  5. Lexicon based Emotion Analysis
Requirements
  1. Must have knowledge of Programming
  2. Must have knowledge of R Programming
  3. Must have knowledge of using RStudio