Introduction to Data Analytics for Business (5cr)

Code: ANA001TR1AE-3030

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: Online Campus

Teaching languages: English

Seats: 30 - 100

Degree programmes: ITBBA Business Information Technology

Teachers: Jutta Heikkilä

Groups: ITE2PAICB1
Business Information Technology, 2nd semester, ICT and Business, Pasila, group 1; ABEV3PCAVI
Aviation Business, 3rd semester, Online Degree (Virtual); VIRTUAL
Virtual implementation; INSTRUCTED
Instructed virtual implementation

Course: ANA001TR1AE

Evaluation scale

H-5

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

Video lectures, self-studying material available in Moodle.

Assignments and exam.

Exam dates and re-exam possibilities

There will be a proctored exam. Details about the proctoring will be provided during the course.
Alternatively, the exam can be done on campus in the electronic exam.

Timing of the exam and the retakes be informed in the beginning of the course.

Learning assignments

Exercises on frequencies, crosstabulation, descriptive statistics, correlation, regression and statistical inference.

Report assignment which includes analysing and reporting a data collected with a survey.

Assessment methods

Exam (40%)
Report (20%)
Exercise sets (40%)

You must pass the report and the exam to pass the course.