In this “hands-on”, interactive, one week summer course you are introduced to data analytics using the statistical program R. The aim is to provide you with an accessible high-quality course where no prior knowledge of R is required. At the end of this course, you will be able to use R independently for your own projects.
In this “hands-on” interactive course you are introduced to data analytics using the statistical program R. The interactive teaching and learning environment will help you to maximize your individual learning outcomes. The aim is to provide you with an accessible high-quality course where no prior knowledge of R required.
Startdate: 1 July 2024 - 5 July 2024
ECTS credits: 2 ECTS. For more information see credits and certificate.
In this course, you will learn about the following key topics: Installing R and R studio, importing data from various file formats (e.g., csv, text files, Stata), cleaning and merging data, visualizing and reporting data, and basic regressions. All these topics are accompanied by various practical examples, engaging exercises, and interesting discussions.
At the end of this course, you will be able to work independently with R and perform basic data analysis on your own. Furthermore, you will be able to understand the main logic of R programming, create appealing visualizations and graphs using R, and finally, know where to find possible solutions for more challenging tasks in R. Successful completion of this course could be the next step in your professional career, preparation for further studies, or a new exciting chapter in your life.
Thomas Niederkofler (1986) is an Assistant Professor in Accounting at the department of Economics and Business Economics at Radboud University. He received his PhD from the Free University of Bolzano/Bozen (Italy) in 2019. During his studies he visited the University of British Columbia (Canada) and the University of Tasmania (Australia). His research interests include, but are not limited to, corporate earnings management, intangible assets, and equity valuation.
Includes: your course, coffee and tea during breaks, a warm lunch every day, Official Opening, Official Closing (with some drinks and snacks).
Excludes: transport, accommodation, social events and other costs.
Level of participant:
Admission requirements: This course is open to all, you need no prior experience in programming. However, a beginner knowledge of statistics is recommended. You need to be able to bring your own laptop since no computers or laptops will be provided.
Admission documents: None
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