Quantitative Data Analysis: Visualization of Quantitative Data, 2 cr

The get sufficient pre-knowledge, you can go throughout the "A guide to R in English (Pasi Väkeväinen, 2019) Tiedosto" available in Moodle under "Tilastolliset ohjelmistot – Statistical software" (direct link: https://learning2.uta.fi/course/view.php?id=10574&section=2).

Goals: The course:

- Introduces participants to the R environment

- Introduces the participants to data exploration and data visualization

- Provides a recent variety of techniques and strategies to visualize quantitative data

Place: Computer classroom Pinni B0040 (Pinni B building)

Programme

5.12.2019

09.15-12.00 Introduction to R
12.00-13.00 Lunch break
13.00-16.00 Introduction to data exploration and data visualization: types of data and of databases; online databases; Visualization of multivariate data

12.12.2019

09.15-12.00 Visualization of temporal data and of spatial data; text visualization
12.00-13.00 lunch break
13.00-16.00 Real time big data applications

PLEASE NOTE: Attendance to BOTH days is required for the completion of the course.

Teacher: Paulo Canas Rodrigues

Pre-assignment: Please write a short (one A4) text stating:

1) Your name & disciplinary background
2) State your own motivation for participating on this course and what do you expect to learn.

DEADLINE for the pre-assignments to be announced.

In addition, participants will write a mini-assignment after the second meeting with a two weeks’ deadline. Maximum number of students is 24. Selection method is draw.

Enrolment period for autumn 2019 courses arranged in English language starts on 1 August 2019 in NettiOpsu system. Enrolment time ends on 31 August 2019. Hervanta campus doctoral researchers apply the right to study TAYJ modules from 1 August 2019 onwards through the service for cross-institutional studies at https://www10.uta.fi/ristiinopiskelupalvelu/?uiLang=en . The doctoral school study units can be found with code TAYJ. Enrollment is done in NettiOpsu system also in this case.