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Summer School - Understanding Data with R, 8-22 July 2019, Tilburg University, Netherlands

Tilburg University


Deadline:

May 31, 2019

Event Date:

July 08, 2019 - July 22, 2019


Opportunity Cover Image - Summer School - Understanding Data with R, 8-22 July 2019, Tilburg University, Netherlands

Understanding Data with R: a hands-on workshop towards becoming a data-analyst

Which companies are committing fraud? Which scientific hypothesis is correct? Do movie critics differ from regular consumers in their ratings? Whether it’s a fun or serious question, each of these questions require data to answer them. In this course, you will learn the two vital skills for using data to answer questions of interest: 1) data manipulation and 2) data analysis. Through interactive workshop-sessions, you will learn how to manipulate datasets in order to produce informative analyses and insightful data visualizations.

In this dynamic two-week course, you will discover the importance of data analysis in multiple disciplines. You will learn how to use data to answer a wide range of interesting questions, using the popular programming language called R. From gathering data to creating appealing and insightful data visualizations, you will master the basics of truly understanding data.

By completing this course, you will:

  • Acquire an understanding of the role of data in answering research questions, both in academics and in the industry;
  • Gain a basic understanding of the statistical programming language R, using RStudio;
  • Learn how to manipulate data (e.g., renaming variables, removing cases, combining datasets);
  • Learn how to create beautiful and insightful data visualizations that are relevant for answering the research question;
  • Learn how to conduct statistical analyses (e.g., descriptives, correlations, regression);
  • Learn how to write a report that answers a research question using the data.

For whom:

Bachelor’s and Master’s students with a basic understanding of statistics who want to gain experience in coding and data analysis.

Taught by: 

Dr. Willem Sleegers

Course fee:

Course fee: €1000

- 10% early bird discount*

- 10% discount for current Tilburg University students*

- 10% discount for students from partner universities*

The course is about globalization, migration, and internationalization. You will learn what psychology has to say about societies that become more multicultural, international students, diverse teams in organizations and at the workplace, and how psychology contributes to make organizations and societies more inclusive.

You will gain:

This course is not just about the mining or processing of data, but about understanding data. Data is used to answer all kinds of questions, by both academics and companies. Academics use data to support scientific hypotheses, while companies rely on data to determine such things as insurance rates, fraud, or marketing success. In this course, you will learn the two vital skills for using data to answer questions of interest: 1) data manipulation and 2) data analysis. Through interactive workshop-sessions, you will learn how to manipulate datasets in order to produce informative analyses and insightful data visualizations. Importantly, you will not only learn how to analyze data, but also to answer questions.

The course makes use of interactive teaching methods aimed at developing all the necessary skills to become a data analyst, in a way that does not require substantial prior knowledge. While many courses are aimed at a singular aspect of data analysis (e.g., just statistical analysis, or just learning how to program), this course will cover all the basics of data analysis.

A guest lecturer with industry experience will join the course to talk about the importance of data in their field. Companies are increasingly looking for employees with the skill set to analyze data, and the knowledge of how to use data to answer questions. These guest lecturers will provide examples of such scenarios and talk about the required skills.

This course will have a broad appeal as the learned skills can be applied to multiple fields (e.g., both academics and industry), thereby preparing the student for a variety of different follow-up educational tracks.

The course is divided into three parts:

  • The first part introduces theoretical insights;
  • This includes an overview of theories about cross-cultural differences, similarities, intercultural communication and acculturation.
  • The second part offers practical modules, enabling you to practice what you have learned and develop your own basic training tools for intercultural communication trainings;
  • The third and concluding part includes an empirical interview assignment and a final assessment.
  • You will conduct a qualitative interview with a participant from another culture on a topic of your choice; and relate the interview partner's answers to ongoing studies in the field of cultural psychology.

Final assessment

The course is completed by handing in two assignments, one after the first week, and one at the end of the course.

In the first assignment, your data manipulation skills are tested by turning an unorganized set of files into an organized dataset. You will be graded on whether the code is functional (i.e. correct), concise, and communicative (i.e. with proper documentation).

The second assignment is about data analysis. You will write a report in which analyses and visualizations are presented to answer a specific question (e.g. “Do movie critics judge movies differently than regular consumers?”). You will be graded on their chosen visualizations, analyses, and correct answering of the research question.

You will also present your final report in presentation-form, after handing in the second assignment. This presentation will be graded as a pass/fail.

Reports will be graded on a 10 point grading scheme (with 10 being best). Course certificates are associated with passing grades (>5.5). To pass the course, an 80% attendance rate is required. Graded certificates are available upon request.

For more information click "LINK TO ORIGINAL" below.


Eligible Countries
Host Country
Publish Date
January 03, 2019




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