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2017
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Data Science: Data Analysis and Visualization

Organizing institution
Utrecht University, Faculty of Social and Behavioural Sciences (UU)
Course code
S31
Course fee
€ 600
Level
Master level

The course Data science: Data analysis and visualization offers a range of statistical and graphical techniques to uncover hidden structures in the data, including machine learning and data mining techniques. The course has a strong practical focus; participants actively learn how to apply these techniques on real data.

NOTE: this course is fully booked! New applicants will be placed on a waiting list.

What puts former criminals on the right track? How can we prevent heart disease? Can Twitter predict election outcomes? What does a violent brain look like? How many social classes does 21st century society have? Are hospitals spending too much on health care, or too little?

Data analysis is the art and science of tackling questions like these by looking at data. Just as cartographers make maps to see what a country looks like, data analysts explore the hidden structures of data by creating informative pictures and summarizing relationships among variables. And just as doctors diagnose sick patients and advise healthy ones on how to stay healthy, data analysts predict important events and variables so we can act on this knowledge. Methods from statistics, data mining, and machine learning play an important part in this process, as well as visualizations that allow the analyst and other humans to better understand what we can conclude from the available facts.

During this course, participants will actively learn how to apply the main statistical methods in data analysis and how to use data mining algorithms and visualizing techniques. The course has a strongly practical, hands-on focus: rather than focusing on the mathematics and background of the discussed techniques, you will gain hands-on experience in using them on real data during the course and interpreting the results. The course covers both classical and modern topics in data analysis and visualization.

Prerequisites:
Participants are requested to bring their own laptop for lab meetings.

This course is part of three courses in the Summer School Data Science specialization taught by UUs department of Methodology & Statistics. Please see here [link] for more information about the full specialization. This course can also be taken separately.

Summer School Data Science specialization:
Data Science: Statistical Programming with R(S24)
Data Science: Multiple Imputation in Practice(S28)
Data Science: Data Analysis and Visualization(S31)

Upon completing all three courses in the specialization, students can obtain a certificate. Each course may also be taken separately.

Tags: data science, statistics, exploratory data analysis, data mining, machine learning, visualization, classification, regression, clustering, cross-validation

» Download the day-to-day programme (PDF)

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COURSE LEADER

Daniel Oberski

LECTURERS

Maarten Cruyff, Kees Mulder.

TARGET GROUP

Applied researchers and master students from applied fields such as sociology, psychology, education, political science, public policy, quantitative criminology, human development, marketing, management, biology, medicine, computational linguistics, communication sciences.

A maximum number of 40 participants will be allowed in this course.

COURSE AIM

This course aims to provide you with hands-on experience applying data analysis and visualization techniques, both venerable and novel, using R.

STUDY LOAD

Five full days.

FEE

• € 600 - Course + course materials

Tuition fee for PhD students from the Faculty of Social and Behavioural Sciences from Utrecht University will be funded by the Graduate School of Social and Behavioural Sciences.
Please note: this course is offered without housing!

NOTE: this course is fully booked! New applicants will be placed on a waiting list.

DISCOUNTS AND COMBINATIONS
» Overview of all available discounts

The course Data Science: Data Analysis and Visualization can be combined with the following courses.

SCHOLARSHIPS

Utrecht Summer School does not offer scholarships for this course.

MORE INFORMATION

Irene de Bruijne - ms.graduate.program@uu.nl

» Contact Utrecht Summer School

REGISTRATION

Deadline for registration: 21 August 2017

Course fully booked