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Course unit, curriculum year 2021–2022
DATA.ML.370
Data Mining for Business Analytics, 5 cr
Tampere University
- Description
- Completion options
Teaching periods
Active in period 3 (1.1.2022–6.3.2022)
Active in period 4 (7.3.2022–15.5.2022)
Course code
DATA.ML.370Language of instruction
EnglishAcademic years
2021–2022, 2022–2023, 2023–2024Level of study
Intermediate studiesGrading scale
General scale, 0-5Persons responsible
Responsible teacher:
Tarmo LippingResponsible teacher:
Nathaniel NarraResponsible organisation
Faculty of Information Technology and Communication Sciences 100 %
Coordinating organisation
Computing Sciences Studies 100 %
Core content
- The concept and terminology of data mining.
- Understanding the special principles of processing large, non-structured datasets.
- Basic principles of web search engines.
Complementary knowledge
- Knowledge of the basic methods and algorithms.
- Special challenges of processing large datasets: memory usage and data formats.
Specialist knowledge
- Knowledge of the limitations of data mining.
- Mapreduce algorithm.
Learning outcomes
Further information
Learning material
Studies that include this course
Completion option 1
Independent study
10.01.2022 – 29.04.2022
Active in period 3 (1.1.2022–6.3.2022)
Active in period 4 (7.3.2022–15.5.2022)