Enterprise Digital Uplift and Systematic Technology Education

E-commerce Data Analysis using WooCommerce and R

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About Course

Welcome to the self-paced course on E-commerce Data Analysis using WooCommerce and R! In this course, you will learn how to leverage the power of data analysis to gain valuable insights into your e-commerce business. We will focus on using WooCommerce, a popular e-commerce platform, and R, a powerful statistical programming language, for performing data analysis tasks.

Throughout this course, you will develop a strong foundation in e-commerce data analysis techniques, including data extraction, cleaning, visualization, and statistical modeling. You will also learn how to use R’s libraries and functions to analyze various aspects of your e-commerce business, such as sales trends, customer behavior, product performance, and marketing effectiveness.

This self-paced course is designed to be hands-on, allowing you to apply the concepts you learn to real-world scenarios. By the end of the course, you will be equipped with the knowledge and skills to make data-driven decisions that can help drive the success of your e-commerce business.

Course Duration: The course is self-paced, allowing you to learn at your own speed. Estimated completion time is approximately 4-6 weeks, depending on your dedication and time availability.

Note: This course assumes basic familiarity with R programming. If you are new to R, consider taking an introductory R programming course before enrolling in this course.

Get ready to unlock the power of data analysis and take your e-commerce business to new heights with this comprehensive self-paced course on E-commerce Data Analysis using WooCommerce and R!

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What Will You Learn?

  • Gain valuable insights into your e-commerce business to make data-driven decisions
  • Improve sales performance, customer engagement, and marketing strategies
  • Enhance your analytical skills using R, a widely-used statistical programming language
  • Develop the ability to create compelling data visualizations and reports

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