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Course unit, curriculum year 2023–2024
DATA.ML.370

Data Mining for Business Analytics, 5 cr

Tampere University
Teaching periods
Active in period 3 (1.1.2024–3.3.2024)
Active in period 4 (4.3.2024–31.5.2024)
Course code
DATA.ML.370
Language of instruction
English
Academic years
2021–2022, 2022–2023, 2023–2024
Level of study
Intermediate studies
Grading scale
General scale, 0-5
Persons responsible
Responsible teacher:
Tarmo Lipping
Responsible teacher:
Nathaniel Narra
Responsible 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

10.01.2024 29.04.2024
Active in period 3 (1.1.2024–3.3.2024)
Active in period 4 (4.3.2024–31.5.2024)