Storytelling Through Data Visualization (5 op)
Toteutuksen tunnus: TT00FA98-3001
Toteutuksen perustiedot
- Ajoitus
- 01.08.2022 - 31.12.2023
- Toteutus on päättynyt.
- Opintopistemäärä
- 5 op
- Virtuaaliosuus
- 5 op
- Toteutustapa
- Etäopetus
- Yksikkö
- (2019-2024) ICT ja tuotantotalous
- 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
- TT00FA98
Tavoitteet
• Learn the concept of data storytelling
• Get familiar with the importance of learning data storytelling for data analysts
• Learn how to communicate with the audience
• Learn visualization tools
• Learn which visualization tools are not useful
• Get familiar with what clutter is
• Learn how to declutter a visualization
• Learn about the connection between eye, brain and memory
• Learn how to persuade people
Sisältö
1. Introduction:
What Is Data Storytelling?- Why Do We Need Storytelling?- What Makes a Good Story?
- Data Visualization vs. Storytelling with Data- The Storytelling Process- Quiz
2. Communication Mechanism:
Introduction- Your Audiences- Your Main Points- Tones- Rules of Good Presentations
3. Storytelling Tools:
Introduction- How to Create Good Data Visualizations?- Text- Tables- Heatmap- Scatterplot- Line Graph- Bar Chart- Waterfall Chart- Distribution Charts- Not Useful Graphs
4. Decluttering:
Introduction- What is Clutter?- Visual Perception Principals- Declutter Process
6. Visual Desing:
Introduction- Eye, Brain and Memory- Where to Look- Size and Color
7. Persuading with Data:
Introduction -What Persuades People?- The Rhetorical Triangle- Help Decision Makers Persuade Themselves-Quiz
8. Final Tasks:
Project – Self-study Essay
Aika ja paikka
Course can be done in own pace in TechClass portal.
Oppimateriaalit
Lecture slides, tutorial videos, quizzes, exercises and project can be find via TechClass portal.
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 quiz, assignments, and the final project.
Harjoittelu- ja työelämäyhteistyö
N/A
Tenttien ajankohdat ja uusintamahdollisuudet
Online.
Kansainvälisyys
N/A
Toteutuksen valinnaiset suoritustavat
N/A
Opiskelijan ajankäyttö ja kuormitus
- Tutorial Videos
- Exercises
- Quiz
- Project
- Self-study
Sisällön jaksotus
Up to student her-/himself.
Arviointiasteikko
Hyväksytty/Hylätty
Arviointikriteeri, hyväksytty/hylätty
Exercises 50%
Quizzes 25%
Project 25%
Arviointimenetelmät ja arvioinnin perusteet
Exercises 50%
Quizzes 25%
Project 25%
Esitietovaatimukset
Introduction to Python for Data Science