Analyzing Social Media Data in R

Social Sciences

Short Description

Extract and visualize Twitter data, perform sentiment and network analysis, and map the geolocation of your tweets.

Long Description

The analysis of data obtained from social media platforms can offer significant insights that can be leveraged to inform campaign strategies, enhance marketing and sales efforts, measure customer engagement, conduct competitor analysis, and identify untapped networks. This course will equip you with the skills to extract and visualize Twitter data using the R programming language. Additionally, you will learn how to perform network analysis and explore the geolocation of tweets. Through hands-on exercises utilizing diverse datasets, such as tweets related to celebrities, technology companies, trending topics, and sports, you will have the opportunity to apply the knowledge gained throughout the course.

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Course Details

Duration: 4 hours
Format: Short Course
Price: USD39.00
Course Link

DataCamp

DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.

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