Business analytics 2 (5cr)
Code: T42D46OJ-3001
General information
- Enrollment
- 05.10.2020 - 24.02.2021
- Registration for the implementation has ended.
- Timing
- 01.03.2021 - 30.04.2021
- Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 0 cr
- Virtual portion
- 5 cr
- Mode of delivery
- Distance learning
- Unit
- Bachelor of Business Administration, Business Information Technology
- Teaching languages
- English
- Seats
- 1 - 37
- Degree programmes
- Business Information Technology
Evaluation scale
H-5
Objective
This module provides you the advanced knowledge and skills in the area of Business Analytics. In this module, you focus on learning how to represent and visualize data in a different environment. Additionally, you will learn how to take into account the organizational context, business requirements, and how to select effective Data Analysis and visualization methods. The prerequisite for this course is a successful completion of Mathematics and Statistics 1 and 2, Business Analytics 1, and solid knowledge in Data Analytics methods and tools.
Content
Tieto puuttuu
Location and time
The tuition will be conducted at the Adobe Connect virtual class room.
Materials
Lecture materials and assignments will be available in the Moodle workspace.
Recommended reading:
+ Anderson D., Sweeney D. & al. 2018-2020. Business Analytics. 3rd-4th Edition. CENGAGE Learning
+ Evans J. R. 2016. Business Analytics. Pearson
Teaching methods
24 hours of classes, 111 hours of self-supervised work.
Exam schedules
Assignment-based evaluation is only available during the course. The assignments are due by the end of the course.
Assignments cannot be re-submitted. Retakes are ordinary examinations. The date and the scope of the re-examination are to be agreed with the teacher.
Assessment criteria, satisfactory (1)
Evaluation target: You can communicate and visualize data effectively according to the specific organizational context and business requirements.
Satisfactory
You implement simple data visualizations using a specific tool, but you often need assistance and instructions.
Assessment criteria, good (3)
Good
You implement typical data visualizations according to the requirements, and you can solve related challenges independently.
Assessment criteria, excellent (5)
Excellent
You can communicate data and produce efficient data visualizations independently and according to the requirements.
Qualifications
NULL