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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_ECTS
Open UAS: Artificial intelligence, Machine Learning and Data Science (NonStop Module) 75 ECTS
Opintojakso
TT00FA96
Toteutukselle TT00FA96-3001 ei löytynyt varauksia!

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

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