Data Analysis in R, Short Course

  • Application Deadline
  • 14 days
    Duration
With the increasing use of alternative software packages like R in data analysis, now is the time to learn their ins and outs. The large number of active programmers creating R packages makes this an up-to-date programme providing a huge range of statistical analyses. Researchers also use R to write functions for analysing data, or to create professional plots.

About

  • Many problems in data analysis are related to dimension reduction, from data mining problems such as classification to analyzing survey answers. 
  • You will learn how to reduce data dimensions using principal component analysis and how to analyse multi-item scales using confirmatory factor analysis.
  •  Additionally, you learn how to treat missing data in various models. 

At the end of this Data Analysis in R course offered at Vrije Universiteit Amsterdam  you can:

  • Evaluate the quality of quantitative data sources.
  • Choose the appropriate method for an analysis, depending upon the data source.
  • Conduct various statistical tests.
  • Analyse data using generalized linear framework.
  • Decide when and how to use dimension reduction.
  • Conduct and interpret factor analysis.
  • Enjoy your developed programming skills.

Detailed Programme Facts

  • Programme intensity Full-time
    • Full-time duration 14 days
    • Duration description
      6 July to 20 July 
  • Credits
    3 ECTS
  • Languages
    • English
    Schedule TOEFL®
  • Delivery mode
    On Campus
  • More information Go to the programme website

Programme Structure

  • This course focuses upon understanding statistical models and analysing the results whilst learning to work with R. As well as introducing the software to newcomers, it presents basic and more advanced statistics using an overarching framework of the generalized linear model. We start with descriptive statistics and simple regression, before moving on to multiple regression. 
  • Lastly we will introduce how to create and adjust plots in R. Every day consists of short lectures with examples, and exercises in which you apply what you have learned right away. Each week you are supposed to make an assignment which is graded. The focus in the exercises and assignment is the coding in R and how to apply and to interpret generalized linear regression models. By the end of the two weeks you are acquainted with numerous basic functions available in R can write your own functions and can use attractive plots to present your data. 

Audience

Students or professionals with an interest in quantitative data analysis using R. We will use examples from Economics, Social Sciences and Biostatistics. No programming experience is required. PhD students wishing to refresh their knowledge are also welcome.

English Language Requirements

You only need to take one of these language tests:

  • Minimum required score:

    92

    The TOEFL iBT ® measures your English-language abilities in an academic setting. The test has four sections (reading, listening, speaking, and writing), each with a score range of 0-30, for a total score range of 0-120. Read more about TOEFL iBT ®.

    Schedule TOEFL®

  • Minimum required score:

    6.5

    The IELTS – or the International English Language Test System – tests your English-language abilities (writing, listening, speaking, and reading) on a scale of 1.00–9.00. The minimum IELTS score requirement refers to which Overall Band Score you received, which is your combined average score. Read more about IELTS.

Academic Requirements

  • A completed undergraduate course in statistics and an acquaintance with basic linear algebra, the fundamentals of hypothesis testing, linear regression analysis and statistical tests such as the t-test. 
  • Motivation letter. Please make sure to describe your motivation for the specific course(s) you apply for: Why this topic? How will the course contribute to your future (academic) career? (250-500 words) 
  • If you apply for multiple courses, answer the questions for both courses in the same motivation letter.
  • Curriculum Vitae/Résumé
  • Transcript of records (a printscreen of your most recent grades is sufficient)

Tuition Fee

  • International Applies to you

    1150 EUR/full
    Tuition Fee
    Based on the original amount of 1150 EUR for the full programme and a duration of 14 days.

  • EU/EEA Applies to you

    1150 EUR/full
    Tuition Fee
    Based on the original amount of 1150 EUR for the full programme and a duration of 14 days.
We've labeled the tuition fee that applies to you because we think you are from and prefer over other currencies.

Living costs for Amsterdam

  • 1000 - 1500 EUR/month
    Living Costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

VU Amsterdam Summer School offers  three kinds of scholarships: the Academic Scholarship, the Photographer Scholarship and the Vlogger/Videographer Scholarship.

StudyPortals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

The Global Study Awards: get funded with up to £10,000 to study abroad

Together with the ISIC Association and British Council IELTS, Studyportals offers you the chance to receive up to £10000 to expand your horizon and study abroad. We want to ultimately encourage you to study abroad in order to experience and explore new countries, cultures and languages.

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