This is a virtual course. Course material (including examples and videos) will be available in Moodle.
Course material will be available in Moodle.
Pasila Campus
No exam.
English
19.08.2024 - 13.12.2024
There are three exercises. Their topics cover descriptive analytics, diagnostic analytics, time series and machine learning.
01.01.2022 - 01.01.2022
Toni Ernvall
30 - 100
Final grade is the average of assignment grades rounded to integer. All assignments must be passed.
AVO Avoin ammattikorkeakoulu
0.00 cr
5.00 cr
H-5
Heidi Rajamäki-Partanen
Pasila Campus
English
21.10.2024 - 13.12.2024
Juha Nurmonen
31 - 60
BUTEM Degree Programme in Business Technologies, STROME Degree Programme in Strategising in Organisations, ATBUM Degree Programme in Aviation and Tourism Business, LEBUM Degree Programme in Leading Business Transformation, AVBUM Degree Programme in Sustainable Aviation Business, HOSBUM Degree Programme in Tourism and Hospitality Business
0.00 cr
1.00 cr
H-5
In the classroom, one will learn the basics of data analytics using Python coding under the guidance of a teacher. Students can also study independently with the help of ready-made examples.
No previous coding experience is required.
Heidi Rajamäki-Partanen
https://1u.fi/hhjuhanurmonen
Pasila Campus
English
25.03.2024 - 17.05.2024
The implementation includes individual tasks where the skills learned are applied. The topics of the tasks include Descriptive analytics Diagnostic analytics Time series description and analysis Time series forecasting Predictive analytics and machine learning models
02.01.2024 - 15.02.2024
Period 4, Spring 2024
The implementation allows one to participate in common teaching according to your own skills. The course material supports indivudual learning.
Juha Nurmonen
31 - 60
Individual assignments are assessed and each contributes its own weight to the final grade. Each individual assignment must be passed according to the criteria given in the implementation during the same course implementation.
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
0.00 cr
2.00 cr
H-5
Note: by the request of the training subscriber (degree program), starting in 2024, "Python for everyone" has been taken as the starting point instead of the previous "data analytics for everyone".
The course introduces basic features to analyze structured data and is supported by related material and assignments. Topics covered include:
- descriptive analytics
- diagnostic analytics
- time series analysis and forecasting
- introduction to machine learning.
All the necessary material will be found on Moodle including Q@A section whereby students are able to discuss matters concerning the course including assignments.
Heidi Rajamäki-Partanen
Material given in Moodle
Pasila Campus
Four graded assignments issued throughout the course
English
15.01.2024 - 15.03.2024
Four assignments: - descriptive analytics - diagnostic analytics - time series analysis and forecasting - machine learning.
02.01.2024 - 12.01.2024
15.1 - 15.3.2024
Veijo Vänttinen
31 - 100
Four assignments:
- descriptive analytics, (0 - 5 points)
- diagnostic analytics, (0 - 5 points)
- time series analysis and forecasting, (0 - 5 points)
- machine learning, (0 - 5 points)
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
0.00 cr
5.00 cr
H-5
Pasila Campus
English
23.10.2023 - 15.12.2023
12.06.2023 - 20.10.2023
Juha Nurmonen
31 - 60
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
0.00 cr
1.00 cr
H-5