Text Mining and Sentiment Analysis with Tableau and R

📊 Data Science with R and Tableau: Extract Valuable Info Out of Twitter to Rock in Marketing, Finance, or Any Research!

🚀 Course Headline: Unlock the Power of Social Media Data - Master Text Mining and Sentiment Analysis with R and Tableau for Impactful Insights!

🔍 Course Description:

Dive into the world of social media analytics and harness the true potential of Twitter data for market research, financial analysis, or academic exploration. This comprehensive course combines the robust statistical capabilities of R with the dynamic visualization prowess of Tableau to deliver insights through sentiment analysis and data visualization.

With a focus on practical application, you'll learn to gauge public opinion, monitor brand reputation, and identify trends related to any topic of your interest - all from the vast expanse of Twitter conversations. Whether it's a product launch, a financial event, or a research project, this course will equip you with the tools to extract meaningful information and make data-driven decisions.

Content Overview and Course Structure:

📈 The R Side:

• Getting Started: Obtain a Twitter Developer's account and get familiar with the essential packages needed for our analysis.
• Data Harvesting: Learn how to connect to Twitter, fetch Tweets, and filter them based on language, time, user location, or geography.
• Text Cleaning: Master the art of preparing raw text data for analysis by cleaning and preprocessing tweet content effectively.
• Sentiment Analysis: Implement a lexicon-based approach to assign sentiment scores to Tweets in English.
• Data Preparation: Export your cleaned and scored data into CSV format, ready for Tableau's magic touch.

📊 The Tableau Side:

• Data Preparation: Begin by preparing your R-generated dataset for visualization within Tableau.
• Quick Data Exploration: Discover trends, outliers, and patterns hidden in your data through interactive exploration.
• Dashboards Creation: Build compelling dashboards to visualize the popularity of products, track changes over time, or compare different locations' engagement with a topic.
• Visualization Techniques: Learn to effectively represent your data on maps, through line charts, bar graphs, and more, to tell a story and provide actionable insights.

Why Take This Course?

• No Prior Experience Necessary: This course is designed for learners with basic R skills. As an added bonus, you can get your hands on a full version of Tableau Desktop Professional if you're a full-time college student!

• Hands-On Learning: Follow along with provided R code snippets and apply what you learn in real-time.

• Powerful Tools: Combine the analytical capabilities of R with the visual storytelling strengths of Tableau to make your data speak louder than ever before.

• Endless Applications: From marketing insights to financial analysis or research, the skills learned in this course have a wide range of applications across various fields and industries.

📝 Important Note:

This course involves using the Twitter API to gather data. The use of Twitter's services is governed by Twitter's policies and the course's examples are based on the functionality available at the time of writing. 'TWITTER, TWEET, RETWEET and the Twitter logo are trademarks of Twitter, Inc or its affiliates.' Always ensure that your use of Twitter data complies with their terms and conditions.

Ready to transform raw social media data into valuable insights? Enroll now and take the first step towards becoming a Data Science maestro with R and Tableau! 💫