Introduction to Data Analytics for Business (5 cr)

Evaluation scale

H-5

Schedule

Exercise deadlines will be informed in Moodle

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 material available in Moodle
Excel exercises
Quizzes

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.