Disclaimer: If you sign up for a (paid) course using this link, R-exercises earns a commission. It does not impact what you pay for a course, and helps us to keep R-exercises free.
Everyone is using social media to share their life experiences, initiate ideas and provide opinions in a free and open way. Businesses are hence interested in understanding what people think and say about their products and services. They are augmenting their business applications to extract, understand and analyze social media data about them. If you are working or hoping to work in the analytics world, you need to enrich your skill set with social media analytics to improve your market value.
This Social Media Analytics with R course helps you achieve exactly that ! It introduces you to the tools and technologies required to extract social media data. Twitter, Facebook and Google interfaces are covered. It then walks through multiple use cases for analyzing this data and generating business insights. The examples range from simple histograms to advanced machine learning techniques. After completing this course, you will be able to execute end-to-end social media analytics projects and integrate them with existing business applications.
This course requires previous R experience.
What are the requirements?
- R Programming and RStudio familiarity
What am I going to get from this course?
- Appreciate how businesses use Social Media data
- Learn how to extract Social Media data
- Transform Social Media data to be ready for analytics
- Execute a number of use cases for Social Media analytics
Who is the target audience?
- Analytics Professionals
- IT Students
- Data Analysts