Storytelling Through Data Visualization (5 ECTS)

Code: TT00FA98-3001

General information

Timing: 01.08.2022 - 31.12.2023; Implementation has ended.

Number of ECTS credits allocated: 5 ECTS

Virtual portion: 5 ECTS

Unit: (2019-2024) School of ICT

Campus: Karaportti 2

Teaching languages: English

Seats: 0 - 500

Degree programmes: Information and Communication Technology

Teachers: Virve Prami

Groups: OPEN_UAS_TIVI_AI_ML_DS_75_ECTS
Open UAS: Artificial intelligence, Machine Learning and Data Science (NonStop Module) 75 ECTS

Course: TT00FA98

No reservations found for implementation TT00FA98-3001!

Objective

• 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

Content

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

Location and time

Course can be done in own pace in TechClass portal.

Materials

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

Teaching methods

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.

Employer connections

N/A

Exam schedules

Online.

International connections

N/A

Completion alternatives

N/A

Student workload

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

Content scheduling

Up to student her-/himself.

Evaluation scale

Hyväksytty/Hylätty

Assessment criteria, approved/failed

Exercises 50%
Quizzes 25%
Project 25%

Assessment methods and criteria