Course AMI23A

Data Analysis and Visualization

7.5 Credits
Second Cycle

Starts week 3, 2021

Data and visual analytics is an emerging field concerned with analyzing, modeling, and visualizing complex high dimensional data.

This course will introduce students to the field by covering state-of-the-art modeling, analysis and visualization techniques. It will emphasize practical challenges involving complex real world data and include case studies and hands-on work with a high-level programming language using either Python or the R programming language for the purpose of communicating relevant data patterns in the form of graphical displays.

The course covers classical descriptive statistics and data visualization. Classical descriptive statistics includes how to draw conclusions about the distribution of data using graphs andcovers how to summarize data using measures of center, spread and association, and how to analyze data using normal distribution.


The course covers fundamentals of data-driven information visualization. It introduces how graphical elements and colour theory, design aspects, and perception affect how figures are perceived. The term visual literacy is introduced together with Tufte’s principles of scientific graphics. Visualisation of different data types, including categorical and textual data, is also covered in the course.

Starts and ends:
wk3, 2021 - wk12, 2021
Study Rate:
50%
Location:
Borlänge
Time of Day:
Day
Teaching form:
Normal
Language:
English
Other:
P: Course only offered as part of programme.
Entry Qualifications:
  • Bachelor’s degree in Statistics, Economics, Business Administration, Computer Science, Information Science or Informatics comprising at least 180 credits or equivalent degree. Documented language proficiency knowledge equivalent to English B/English 6 at Swedish upper secondary school
Application Code:
HDA-V36PE
Main field of study:
Tuition Fee
First Tuition Fee Installment:
16,875 SEK
Total Tuition Fee:
16,875 SEK
EU/EEA Citizens or exchange students are not required to pay fees.
Information on application and tuition fees: www.universityadmissions.se.
Apply
Open for late application
Literature List

Literature lists are published at the latest one month ahead of the course start date.

To Literature List
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