MNGT-E2014 - Data Analytics for Managers, Lecture, 24.10.2022-2.12.2022

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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

Upon successful completion of this course, the student is able to:

  • Understand the basic principles of planning and leading with data, including critical evaluation of the source and context of the data
  • Understand the legal and ethical issues associated with collecting, storing and handling data
  • Apply data analysis to business problems, including 1) combining data from multiple sources, 2) conducting analysis by using relevant software, 3) visualizing the findings and 4) making recommendations based on them
  • Build and interpret the results of basic optimization models that are commonly used to support decision making

Credits: 6

Schedule: 24.10.2022 - 02.12.2022

Teacher in charge (valid for whole curriculum period):

Teacher in charge (applies in this implementation): Iiris Saittakari

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 course consists of two modules: 1) Principles of planning and leading with data; and 2) Decision making based on optimization and modelling. 

    The first module introduces the key issues associated with collecting, interpreting, and making conclusions based on data. Legal and ethical issues associated with different types of data are also emphasized. On this hands-on course, the students will analyze data related to real-life business decisions and make recommendations based on them. The analyses are conducted with selected software. Other software are discussed to provide an understanding of alternative options and opportunities.

    The second module focuses on decision making based on mathematical optimization and modelling. Various business problems where models bring added value are discussed. The students will build and solve basic optimization models, as well as interpretate the results. In both modules, the students also visualize their findings and make recommendations based on them in a crisp and concise way.

Assessment Methods and Criteria

  • valid for whole curriculum period:

    Based on participation and assignments.

Workload

  • valid for whole curriculum period:

    Lectures and workshops

    Individual assignments

DETAILS

Substitutes for Courses
Prerequisites

FURTHER INFORMATION

Further Information

  • valid for whole curriculum period:

    Teaching Language : English

    Teaching Period : 2022-2023 Autumn II
    2023-2024 Autumn II

    Enrollment :

    Students are admitted to the course in the following priority order: 1) Global Management / People Management and Organizational Development students, 2) CEMS / Strategic Management in a Changing World students, 3) other students. 

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Aalto University Code of Academic Integrity and Handling Violations Thereof