Study Guide

Objective

The student knows how to use data for achieving better life, sustainable resources and work worthy of a human being. The student understands how business users, like end-users, managers and data scientist, use data analytics to detect and solve business problems and to support decision making. The student understands processes needed to develop, report, and analyze business data. The student is able to use and apply selected software.

Content

- Business Intelligence
- Reporting, descriptive and predictive analytics
- Data Science

Materials

COURSE BOOK - Sharda, R. (2015). Business intelligence: A managerial perspective on analytics. Pearson Education.
E-BOOK: https://metropolia.finna.fi/Record/nelli15.3710000000607601

Teaching methods

Basic knowledge of Microsoft Excel is required. In addition, mastery of bachelor-level business school skills is expected, such as: analyzing information, writing, presenting, and group work. Lectures will be delivered through campus teaching unless otherwise stated.

Assignments overview:

Group assignment (in-class) - Data Processing 30%
Group assignment - Managerial presentation 30%
Individual Individual Assignment 1- Excel Dashboards 20%
Individual Individual Assignment 2 - Power BI 30%

Student workload

Group work 50%
Individual work 50%

Group assignment (in-class) - Data Processing 30%
Group assignment - Managerial presentation 30%
Individual Individual Assignment 1- Excel Dashboards 20%
Individual Individual Assignment 2 - Power BI 30%

Further information

Students will understand and appreciate how data drives value in today’s business landscape. Upon completion of the course the students will be able to:
• Explain key types of business data used in decision making.
• Discuss the main data management approaches in modern business contexts.
• Highlight the opportunities and challenges of leveraging big data.
• Demonstrate basic level Excel skills needed for data interpretation and decision making.
• Summarize the value of ubiquitous tools such as Power BI for organizations.
• Understand the evolution of business technologies that leverage data.

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

The student has achieved the course objectives fairly. The student will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.

Assessment criteria, good (3)

The student has achieved the course objectives well, even though the knowledge and skills need improvement on some areas. The student is able to define the course concepts and models and are able to justify the analysis. The student is able to apply his/her knowledge in leisure, study and work situations. The student understands the importance of expertise in the field of business and is able to analyze his/her own expertise.

Assessment criteria, excellent (5)

The student has achieved the objectives of the course with excellent marks. The student masters commendably the course subject area’s concepts and models. The student is able to make justified and fluent analysis and to present concrete development measures. The student is well prepared to apply his/her knowledge in leisure, study and work situations. The student is able to analyze the business sector expertise and the development of his/her own expertise.

Assessment criteria, approved/failed

The student has achieved the course objectives fairly. The student will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development.

Prerequisites

IT Tools 5 cr or equivalent competences