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Advanced methods of data processingLaajuus (3 cr)

Code: TT00BS10

Credits

3 op

Teaching language

  • English
  • Finnish

Content

- Understanding Big Data characteristics
- Get familiar with Big Data preprocessing
- Installing and using Big Data Analytics tools
- Understanding Big Data mathematics
- Learn what a dataset is
- Visualization tools and best practices
- Getting familiar with some Big Data related ethics

Qualifications

Python basics, Git basics, Basic mathematics

Arviointikriteerit, kiitettävä (5)

Excellent - 5: You need to pass all (100%) quizzes and get at least 95% of exercise points.

Arviointikriteerit, tyydyttävä (1)

Satisfactory - 1: You need to pass 80% of course quizzes and get at least 50% of exercise points.

en
Enrollment

01.08.2022 - 30.09.2022

Timing

01.08.2022 - 31.12.2022

Number of ECTS credits allocated

3 op

Mode of delivery

Contact teaching

Unit

Teknologia

Teaching languages
  • Finnish
Degree programmes
  • Bachelor’s Degree in Information and Communication Technology
Teachers
  • Pekka Huttunen
Groups
  • TTV21SAI
    TTV21SAI

Content

- Understanding Big Data characteristics
- Get familiar with Big Data preprocessing
- Installing and using Big Data Analytics tools
- Understanding Big Data mathematics
- Learn what a dataset is
- Visualization tools and best practices
- Getting familiar with some Big Data related ethics

Evaluation scale

0 - 5

Arviointikriteerit, kiitettävä (5)

Excellent - 5: You need to pass all (100%) quizzes and get at least 95% of exercise points.

Arviointikriteerit, tyydyttävä (1)

Satisfactory - 1: You need to pass 80% of course quizzes and get at least 50% of exercise points.

Qualifications

Python basics, Git basics, Basic mathematics