Introduction to Data Analytics for Business (5 cr)

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
Pasila Campus
Porvoo Campus
Teaching languages
English
Seats
30 - 100
Degree programmes
ITBBA Business Information Technology
Teachers
Toni Ernvall
Groups
ITE2PAICB1
Business Information Technology, 2nd semester, ICT and Business, Pasila, group 1
ABEV3PCAVI
Aviation Business, 3rd semester, Open Path Admission, 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

Will be informed in the beginning of the course.

Learning assignments

Exercises on descriptive statistics, correlation, regression, statistical inference etc.

Assessment methods

Exercises and exam.

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

Siirry alkuun