Introduction to Data Analytics for Business (5 cr)

Code: ANA001TR1AE-3024

Basic information of implementation


Enrollment
02.06.2025 - 15.08.2025
Enrollment for the implementation has begun.
Timing
18.08.2025 - 10.10.2025
The implementation has not yet started.
ECTS Credits
5 cr
Campus
Pasila Campus
Teaching languages
English
Seats
15 - 45
Degree programmes
INTBBA International Business
Teachers
Timi Kohonen
Groups
IBEB3PA1
INTBBA blended, 3. semester, Pasila
EVENING
Evening implementation
CONTACT
Contact implementation
Course
ANA001TR1AE

Evaluation scale

H-5

Schedule

Contact sessions twice a week 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.

Learning assignments

Exercise 1: Descriptive statistics
Exercise 2: Descriptive statistics, Statistical inference, Correlation and regression
Exercise 3: All course topics

Assessment methods

Exercise 1: 20%
Exercise 2: 20%
Exercise 3: 20%
Exam: 40%

You must pass the exam to pass the course.

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