Applied Data Analysis with R Studio (CTIS 365) (3 ECTS)
Code: TX00GL75-3001
General information
- Enrollment
- 05.05.2025 - 30.07.2025
-
Enrollment is ongoing
Enroll to the implementation in OMA
- Timing
- 04.08.2025 - 08.08.2025
- The implementation has not yet started.
- Number of ECTS credits allocated
- 3 ECTS
- Mode of delivery
- On-campus
- Unit
- School of ICT and Industrial Management
- Campus
- Leiritie 1
- Teaching languages
- English
- Seats
- 0 - 24
- Teachers
- ICT Exchange Teacher
- Course
- TX00GL75
Implementation has 5 reservations. Total duration of reservations is 20 h 0 min.
| Time | Topic | Location |
|---|---|---|
|
Mon 04.08.2025 time 13:00 - 17:00 (4 h 0 min) |
Applied Data Analysis with R Studio (CTIS 365) TX00GL75-3001 |
MMC245
Oppimistila
|
|
Tue 05.08.2025 time 13:00 - 17:00 (4 h 0 min) |
Applied Data Analysis with R Studio (CTIS 365) TX00GL75-3001 |
MMC245
Oppimistila
|
|
Wed 06.08.2025 time 13:00 - 17:00 (4 h 0 min) |
Applied Data Analysis with R Studio (CTIS 365) TX00GL75-3001 |
MMC245
Oppimistila
|
|
Thu 07.08.2025 time 13:00 - 17:00 (4 h 0 min) |
Applied Data Analysis with R Studio (CTIS 365) TX00GL75-3001 |
MMC245
Oppimistila
|
|
Fri 08.08.2025 time 13:00 - 17:00 (4 h 0 min) |
Applied Data Analysis with R Studio (CTIS 365) TX00GL75-3001 |
MMC245
Oppimistila
|
Learning outcomes
This course will provide an introduction to the important concepts in statistics with programming examples to make the connection between concepts and implementation. The focus throughout the course will be on developing an understanding of the rationale, the correct interpretation, and the appropriate applications of some of the most commonly used statistical techniques. The course will also familiarize students with essential software tools and techniques to acquire, prepare and visualize data for further statistical modeling and analysis.
Content
Introduction to essential software tools
Introduction to techniques to acquire, prepare and visualize data
Statistical modeling and analysis
Prerequisites
Recommended prerequisite: CTIS 152 (Data Structures and Algorithms)
Evaluation scale
0-5
Assessment criteria, approved/failed
2 Quizzes, 1 lab project, 1 midterm, 1 final, 1 term project