Description
Do you have data you'd like to analyze? Would you like to gain insights from your data and communicate them with eye-catching visualizations and reports? Are you tired of being chained to Excel or expensive proprietary software? If the answer to any of these questions is "Yes!", then this workshop is for you. R is an open-source and versatile programming language that's perfect for data analysis, visualization, and science communication.
In this all-in-one course, you'll learn the basics of programming and be introduced to the RStudio interface. We'll then move on to the basics of vectors and data frames while getting a glimpse of how to visualize your data, which will lead us to the understanding of data import and cleaning. At last, you’ll be equipped with the tools to make publication-quality plots and will learn to generate statistical analysis to communicate your findings; all within the R ecosystem!
In this all-in-one course, you'll learn the basics of programming and be introduced to the RStudio interface. We'll then move on to the basics of vectors and data frames while getting a glimpse of how to visualize your data, which will lead us to the understanding of data import and cleaning. At last, you’ll be equipped with the tools to make publication-quality plots and will learn to generate statistical analysis to communicate your findings; all within the R ecosystem!
This workshop has a collaborative and interactive structure, leveraging Udemy, Moodle, and live bi-weekly Q/A sessions.
How does it work?
- Every week, students will complete asynchronous activities posted on Moodle.
- The asynchronous activities include Udemy learning paths and mini exercises.
- Students will be able to solidify their knowledge during the weekly one-hour live session with the instructor.
Participants who complete all exercises and attend all the weekly sessions will be eligible for a certificate of completion!
You don’t have any previous coding experience? No worries, there is no need for that! R was built to make data analysis easy and is used in many different fields, ranging from linguistics and marketing to ecology and sports analytics. If you want the ability to get more out of your data, join us to get started using R.