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
Assessment criteria, excellent (5)
Excellent - 5: You need to pass all (100%) quizzes and get at least 95% of exercise points.
Assessment criteria, satisfactory (1)
Satisfactory - 1: You need to pass 80% of course quizzes and get at least 50% of exercise points.
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
-
TTV21SAITTV21SAI
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
Assessment criteria, excellent (5)
Excellent - 5: You need to pass all (100%) quizzes and get at least 95% of exercise points.
Assessment criteria, satisfactory (1)
Satisfactory - 1: You need to pass 80% of course quizzes and get at least 50% of exercise points.
Prerequisites
Python basics, Git basics, Basic mathematics