Introduction to Data Analytics for Business (5 cr)

Code: ANA001TR1AE-3029

Basic information of implementation


Enrollment
02.06.2025 - 17.10.2025
Enrollment for the implementation has begun.
Timing
20.10.2025 - 12.12.2025
The implementation has not yet started.
ECTS Credits
5 cr
Campus
Porvoo Campus
Teaching languages
English
Seats
15 - 50
Degree programmes
DIGIBBA Digital Business Innovations
Teachers
Jutta Heikkilä
Groups
DBE3PCDBI
DIGIBBA, 3rd semester, Porvoo, group 1
CONTACT
Contact implementation
ABE3PCAVI
AVIBBA, 3. semester, Porvoo, group 1
EXCH
EXCH Exchange students
Course
ANA001TR1AE

Evaluation scale

H-5

Schedule

Contact sessions on campus

Implementation methods, demonstration and Work&Study

CONTACT
ONLINE
BLENDED
VIRTUAL

If you have acquired the required learning outcomes, you can show your competences with a demonstration. If you have any questions, please contact the responsible teacher. More information and instructions regarding the recognition of learning: https://www.haaga-helia.fi/en/recognition-learning

Intro

The amount of data available today is enormous. For example streaming services collect data from millions of users, companies with loyalty card gather information about consumption habits, etc. The massive amount of data does not provide any benefits unless you know how to summarize, visualise and interpret it. In this course you will familiarise yourself with basic data-analysis methods needed in business - you will learn how to turn data into useful information.

Materials

Material available in Moodle

Recommended reading: Grady Klein and Alan Dabney: The Cartoon Introduction to Statistics

Teaching methods and instruction

Contact sessions with lecture and Excel exercises

Exam dates and re-exam possibilities

Will be informed in the beginning of the course.

Retakes will be organised in the electronic exam on campus.

Learning assignments

Report
Exercises with Excel
Quizzes in Moodle

Assessment methods

Exercises: 40%
Report: 20%
Exam: 40%

You must pass the exam to pass the course.

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