Please note! Course description is confirmed for two academic years, which means that in general, e.g. Learning outcomes, assessment methods and key content stays unchanged. However, via course syllabus, it is possible to specify or change the course execution in each realization of the course, such as how the contact sessions are organized, assessment methods weighted or materials used.

LEARNING OUTCOMES

Learning outcomes for this course, upon successful completion, include the ability to: 1) Describe the purpose, importance, uses and ethics of data visualization for successful data-driven decision-making in international business, 2) Find, access and prepare data for use in visualization, 3) Apply visual analytics best practices to select and create interactive data visualizations (including charts, dashboards and data stories) that accurately and effectively communicate the data's trends, patterns and insights, 4) Use visual, perceptual and aesthetic concepts and practices for user-oriented design of data visualizations that tell stories with numbers across cultural boundaries, and 5) Prepare and present interactive data visualizations using globally recognized software.

Credits: 6

Schedule: 19.02.2024 - 08.03.2024

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Dale Fodness

Contact information for the course (applies in this implementation):

CEFR level (valid for whole curriculum period):

Language of instruction and studies (applies in this implementation):

Teaching language: English. Languages of study attainment: English

CONTENT, ASSESSMENT AND WORKLOAD

Content
  • valid for whole curriculum period:

    The rapidly increasing amount, speed and variety of data available to business today can either overwhelm or drive breakthrough decision-making. Data visualization is used in all functional areas of business to transform data into fuel for effective decision-making through the powerful medium of telling stories with data. Creating and communicating data visualizations are key to data literacy and are essential for success in international business as well as lifelong learning. This course provides an introduction as well as hands-on experience in data visualization and storytelling.

DETAILS

Substitutes for Courses
Prerequisites
SDG: Sustainable Development Goals

    9 Industry, Innovation and Infrastructure

FURTHER INFORMATION

Further Information
  • valid for whole curriculum period:

    Teaching Language : English

    Teaching Period : 2022-2023 Module 8
    2023-2024 No teaching

    Enrollment :

    The course is targeted only for the Mikkeli Campus students.