Note: the course subscriber (degree program) has required that this course be implemented in the Python coding language. Therefore, no other data analytics application programs are used in the course, only the Python coding language.
The course is divided into four parts, each of which focuses on analyzing structured data from different perspectives. Each part includes coding tasks and an exam. The parts are as follows.
- descriptive analytics
- diagnostic analytics
- time series analysis and forecasting
- introduction to machine learning.
All necessary material can be found on Moodle, including a Q@A section where students can raise questions related to the course.
Veijo Vänttinen
Material given in Moodle
Pasila Campus
Three exams and subject specific coding assignments issued throughout the course
English
20.01.2025 - 16.05.2025
Four assignments: - descriptive analytics - diagnostic analytics - time series analysis and forecasting - machine learning.
02.01.2025 - 17.01.2025
Veijo Vänttinen
61 - 100
Four assignments on scale accepted/rejected.
Three exams:
1) descriptive and diagnostic
2) time series and forecasting
3) machine learning
BUTEM Degree Programme in Business Technologies, ATBUM Degree Programme in Aviation and Tourism Business, LEBUM Degree Programme in Leading Business Transformation, HOSBUM Degree Programme in Tourism and Hospitality Business, BUTUM Degree Programme in Business Technologies and Management
0.00 cr
5.00 cr
H-5