Introduction to Data Analytics for BusinessLaajuus (5 cr)

Learning objectives

After having completed this course or attained an equivalent competence level, the student:
- utilises business and customer data from various sources to support decision-making process
- processes data in Excel or other suitable software
- formulates data into tables and calculate descriptive statistics
- visualises data correctly
- analyses and interprets correlations and their significance
- is able to interpret, report and critically assess the results

Contents

- statistics and their representation as tables and charts
- descriptive statistics
- correlation and regression
- time series
- basics of statistical inference

Lähtötaso ja sidonnaisuudet muihin opintojaksoihin

Prerequisite is the successful completion of course ICT Key Comeptences.

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

Assessment criteria - grade 1

When the implementation type of the course is CONTACT, ONLINE or BLENDED it is required that the student is present during those teaching hours that are marked in the study schedule. If you are absent more than 25 %, your grade will be lowered by one. If you are absent more than 50 %, the course is failed.

Is able to calculate basic descriptive statistics. Visualises data with basic figures and tables. Is able to list the main results.

Assessment criteria - grade 3

Analyses correlations, differences and trends. Visualises data with various figures and tables. Is able to interpret and report the results.

Assessment criteria - grade 5

Analyses and interprets independently correlations, differences and trends. Selects and creates suitable graphical presentations to visualise data. Is able to interpret and assess the results and give suggestions for development.

Learning materials

To be announced at the beginning of the course.