Storytelling Through Data Visualization (5 op)

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

Esitietovaatimukset

Introduction to Python for Data Science

Työmuodot

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.

Aika ja paikka

Course can be done in own pace in TechClass portal.

Oppimateriaali ja suositeltava kirjallisuus

Lecture slides, tutorial videos, quizzes, exercises and project can be find via TechClass portal.

Opintojaksototeutuksen valinnaiset suoritustavat

N/A

Harjoittelu- ja työelämäyhteistyö

N/A

Tenttien ajankohdat ja uusintamahdollisuudet

Online.

Kansainväliset yhteydet

N/A

Opiskelijan ajankäyttö ja kuormitus

- Tutorial Videos
- Exercises
- Quiz
- Project
- Self-study

Sisällön jaksotus

Up to student her-/himself.

Arviointimenetelmät ja arvioinnin perusteet

Exercises 50%
Quizzes 25%
Project 25%

Arviointiasteikko

Hyväksytty/Hylätty

Arviointikriteerit arvosanalle hyväksytty

Exercises 50%
Quizzes 25%
Project 25%