This class exists in these courses :
• IÉSEG > IESEG Degree - Programme Grande École > Semester 1 > 2,00 ECTS

Prerequisites

Intermediate knowledge in Microsoft Excel.
Critical thinking and interpretation skills.
Verbal presentation and discussion skills (in English).

Learning outcomes

At the end of the course the student should be able to :
1. Collect, synthesize, and analyze data to support decision making.
2. Understand and apply foundational knowledge in data visualization.
3. Critique other visualizations to identify where design and analysis improvements could be made to better their form and function.
4. Use data visualization software to create informative, efficient, and effective data visualizations within a storyboard format with a continuous narrative.
5. Synthesize conclusions from data supported through an effective data narrative and visualizations.
6. Create a storyboard/narrative that efficiently and effectively "tells the story of their data and analysis" to a general audience to support decision making.
7. Determine the conclusions and recommendations for action from their data analysis and efficiently and effectively convey these through their storyboard and visualizations.
8. Orally convey (i.e., present) the analysis, conclusions, and recommendations to a professional audience.

Course description

Business is emphasizing the power of data analytics to support decision making. Visualization is a crucial tool for data analytics professionals. To be able to coalesce data into visualizations that convey useful information that effectively supports decision making is a valuable skill. In this course, you will learn basic principles and techniques in data visualization. The course will include hands-on experience using visualization software (Tableau) for data analysis and decision making. Class exercises and a semester project will give you the opportunity to apply foundational skills in design and visualization to create a data story that effectively and efficiently illustrates your analysis, conclusions, and recommendations in an interactive, visual format that assists decision making.

Class type

Class structure

Teaching methods

• E-learning
• Interactive class
• Presentation
• Project work
• Research
• Tutorial

Assessment

40%: In-Class Exercises and Activities
10%: Readings and Written Assignments
50%: Final Group Project

Recommended reading

• Readings will be provided in print format or online. -

Internet resources

• Tableau Public Gallery

• Tableau Training