Tableau (15 op)
Toteutuksen tunnus: TT00FA96-3001
Toteutuksen perustiedot
- Ajoitus
- 01.08.2022 - 31.12.2023
- Toteutus on päättynyt.
- Opintopistemäärä
- 15 op
- Virtuaaliosuus
- 15 op
- Toteutustapa
- Etäopetus
- Toimipiste
- Karaportti 2
- Opetuskielet
- englanti
- Paikat
- 0 - 500
- Koulutus
- Tieto- ja viestintätekniikan tutkinto-ohjelma
- Opettajat
- Virve Prami
- Ryhmät
-
OPEN_UAS_TIVI_AI_ML_DS_75_ECTSOpen UAS: Artificial intelligence, Machine Learning and Data Science (NonStop Module) 75 ECTS
- Opintojakso
- TT00FA96
Aika ja paikka
Course can be done in own pace in TechClass portal.
Oppimateriaalit
Lecture slides, tutorial videos, quizzes and exercises can be find via study environment.
Harjoittelu- ja työelämäyhteistyö
N/A
Tenttien ajankohdat ja uusintamahdollisuudet
online.
Kansainvälisyys
N/A
Toteutuksen valinnaiset suoritustavat
N/A
Arviointimenetelmät ja arvioinnin perusteet
Exercises 60%
Quizzes 10%
Project 20%
Essay 10%
Opiskelijan ajankäyttö ja kuormitus
- Tutorial Videos
- Exercises
- Quiz
- Project
- Self-study
Sisällön jaksotus
Up to student her-/himself.
Opetusmenetelmät
This course is 100% virtual, thanks to the comprehensive tutorial videos and content prepared for this course.
The student will pass this course after submitting the required quizzes, assignments, and the final project.
Arviointiasteikko
Hyväksytty/Hylätty
Arviointikriteerit, tyydyttävä (1)
Evaluation criteria - satisfactory (1-2)
- The student is familiar with the concepts of business intelligence (BI) and business analytics as well as their differences
- The student is familiar with the differences between traditional and modern BI solutions
- The student is familiar with the basic concepts involved in data analysis
- The student knows how to set up Tableau account and install and run Tableau Desktop
- The student is familiar with the building blocks of Tableau
- The student is familiar with importing basic datasets into Tableau
Arviointikriteerit, hyvä (3)
Evaluation criteria - good (3-4)
- The student understands the concepts of BI, business analytics, data analysis, and their differences
- The student understands the main building blocks of Tableau and how they are connected
- The student knows how to connect to different data sources in Tableau Desktop
- The student knows how import text, CSV, and Excel data into Tableau Desktop
- The student knows how to apply transformations on data using Tableau Desktop
- The student knows how to visualize data using simple plots such as bar chart and pie chart
- The student is familiar with customizing visualizations in Tableau Desktop
Arviointikriteerit, kiitettävä (5)
- The student is proficient in importing different types of data into Tableau Desktop from local drive and web sources
- The student understands the structure of transformations in Tableau Desktop and how they work
- The student knows how to apply general transformations, text column transformations, number column transformations, and combine queries
- The student understands quick sorting, filtering, calculated columns, trend lines, reference lines, and measures in Tableau
- The student can visualize different types of data including maps and dates using different types of plots
- The student is familiar with the best practices of presenting data in Tableau Desktop
- The student knows how to create dashboards and stories as well as how to configure and manage them
- The student knows how to export dashboards and share them with people