Introduction to data analysis
Introduction to data analysis

Getting Started With R: An Introduction to Data Analytics (RSS3.05) - Confirmed

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.

    General

    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. 

     

    Starting date

    01 July 2024, 9 am
    Costs
    €750
    Educational method
    On-site
    Main Language
    English
    Sessions
    01 July 2024, 9 am - 05 July 2024, 5 pm
    Unique code
    RSS3.05

    Factsheet

    Type of education
    Course
    Entry requirements
    Beginner knowledge of statistics
    Study load (ECTS)
    2
    Result
    Certificate
    Organisation
    Radboud Summer School

    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. 

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    • Weekly schedule and social events

      The weekly programme of Radboud Summer School is carefully designed for the best experience. On this page you will find the timetables and social events.

    Watch what our participants say about their experience!

    Thomas Niederkofler

    dr. N.T. Niederkofler (Thomas)

    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.

    Costs

    • Regular: €750 (application deadline 31st of May)

    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.  

    Discounts and Scholarships

    Admission

    Level of participant: 

    • Advanced bachelor
    • Bachelor
    • PhD
    • Master
    • Postdoc
    • Professional

    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

    Cannot join us this year?

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