Data preprocessing in the cloud (3 cr)
Code: HT00BN66-3004
General information
- Enrollment
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01.08.2024 - 22.08.2024
Registration for the implementation has ended.
- Timing
-
30.09.2024 - 09.12.2024
Implementation has ended.
- Number of ECTS credits allocated
- 3 cr
- Local portion
- 3 cr
- Mode of delivery
- Face-to-face
- Unit
- School of Business
- Campus
- Main Campus
- Teaching languages
- Finnish
- Seats
- 20 - 30
- Degree programmes
- Bachelor's Degree Programme in Business Information Technology
- Teachers
- Juha-Tapio Teno
- Groups
-
ZJA24SIAvoin amk, tiko
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ZJK24SIKorkeakoulujen välinen yhteistyö, TIKO
-
HTK23S1Tietojenkäsittely (AMK)
- Course
- HT00BN66
Realization has 8 reservations. Total duration of reservations is 27 h 30 min.
| Time | Topic | Location |
|---|---|---|
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Thu 03.10.2024 time 13:00 - 16:30 (3 h 30 min) |
Datan esikäsittely pilvialustalla HT00BN66-3004 |
R35G205
Oppimistila KIKE/KOPA
|
|
Thu 10.10.2024 time 13:00 - 16:30 (3 h 30 min) |
Datan esikäsittely pilvialustalla HT00BN66-3004 |
R35G205
Oppimistila KIKE/KOPA
|
|
Thu 24.10.2024 time 13:00 - 16:30 (3 h 30 min) |
Datan esikäsittely pilvialustalla HT00BN66-3004 |
R35G205
Oppimistila KIKE/KOPA
|
|
Thu 31.10.2024 time 13:00 - 16:30 (3 h 30 min) |
Datan esikäsittely pilvialustalla HT00BN66-3004 |
R35G205
Oppimistila KIKE/KOPA
|
|
Thu 14.11.2024 time 13:00 - 16:30 (3 h 30 min) |
Datan esikäsittely pilvialustalla HT00BN66-3004 |
R35G205
Oppimistila KIKE/KOPA
|
|
Thu 21.11.2024 time 13:00 - 16:30 (3 h 30 min) |
Datan esikäsittely pilvialustalla HT00BN66-3004 |
R35G205
Oppimistila KIKE/KOPA
|
|
Fri 29.11.2024 time 08:45 - 12:15 (3 h 30 min) |
Datan esikäsittely pilvialustalla HT00BN66-3004 |
R35F205
Oppimistila (aik)
|
|
Fri 13.12.2024 time 12:00 - 15:00 (3 h 0 min) |
Datan esikäsittely pilvialustalla HT00BN66-3004 - Tentti |
R35G205
Oppimistila KIKE/KOPA
|
Evaluation scale
Pass/Fail
Objective
Do you want to learn how to import data into the cloud from multiple background sources and refine it into a format where it can be utilised? In the course, you will learn how that data needs to be edited and preprocessed to suitable formats, so that it can be used in business in useful ways. As you complete this lesson, you will have learned the possibilities of data preprocessing (Extract, Transform, Load) and will familiarized yourself with the tools to edit data into various formats needed by different systems or services.
Content
- Data preprocessing with cloud services
- Extract data from various sources, transform, and load data to needed formats.
Location and time
Weeks 40-48, 7 lectures (ex w42&w45). Main campus.
Materials
Material written by the teacher can be found at Moodle. Any AWS documentation and Academy Learning material or additional Data pre-processing books can be used as additional material.
Teaching methods
- Lectures (online as a backup) , main campus
- Individual and group assignments
- Final exam
The primary mode of delivery is a combination of in-class activities on campus. The in-class activities deepen the learning in the forms of tutorials, individual and group works, reflection and guidance.
Employer connections
Visiting lecturer from an it-organization is planned to visit the last lecture.
Exam schedules
The final exam is held at the end of the course. Renewal opportunities will be announced at the beginning of the course.
Completion alternatives
You can apply for a recognition of prior knowledge through the eRPL process. Contact the teacher by e-mail.
Student workload
Approximately 81 hours.
Assessment criteria, approved/failed
- Assignments done
- Learning diary returned
- Exam completed successfully
Qualifications
Basic skills in information technology,
Basic programming skills
SQL basics
Scripting basics
Further information
Assesment criteria Pass/Fail:
- Individual and group assignments returned and accepted
- Exam passed