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Spring semester - BA - IBM - Year 1 Calendar view

Introduction to Data Visualization (2022-2023)


Class
Christian Olsen
Enrolment for this class is currently closed.

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The module covers topics such as basic formatting style, knowing what types of graphs to pick depending on data and data visualisation using the basic tool.

The aim of this module is to familiarise you with data visualisation techniques. Being able to summarise, visualise and present clear reports of any task will provide and added value to your future professional career. In this module, you will use spreadsheets to learn how to apply basic formatting style, summarise data, highlight important information and finally create different types of graphs. A working knowledge of Google Sheets is vital for most professionals today, and stronger spreadsheets skills can open the door to promotion and leadership opportunities.

The module is composed mainly of seminars and will run throughout the semester (14 weeks).

 

Level: 2 (Year 1)

Credits: 5 ECTS (10 UK)

Module Leader: Christian Olsen

Office hours: By appointment

 

Assessments

Assessment 1:

In-class exercise 1: Multiple-Choice Questionnaire – Customizing Charts This exercise consists of multiple-choice questions to assure your understanding of basic Google Sheet and formatting style for customizing charts.

Assessment criteria for Assessment 1 (LO1 will be assessed) This assessment will be marked according to the following criteria: o Knowledge and understanding (100%): Student needs to demonstrate an understanding of the Google Sheet environment, menu bars, and how to insert and configure charts.

 

Assessment 2:

In-class exercise 2: Multiple-Choice Questionnaire – What Graph? This exercise consists of multiple-choice questions to assure your understanding of basic Google Sheet and formatting style for customizing charts. In Week 6, you will be asked to complete a short multiple-choice questionnaire to assure your understanding of the different types of graphs and how and when they are used.

Assessment criteria for Assessment 2 (LO1 will be assessed) This assessment will be marked according to the following criteria: o Knowledge and understanding (50%): Student needs to demonstrate an understanding of the Google Sheet environment, menu bars, and how to insert and configure charts. o Cognitive Skills (50%): Student needs to demonstrate the ability to identify what graph to use based on different data sets.

 

Assessment 3:

In-class exercise 3: Case Study to Visualize Data and Summarize Results In Week 10, you will be asked to do one in-class exercise that intends to assure your understanding of the concepts covered so far, and your ability to apply them. It will consist of a case study to apply basic formatting style, visualize data, and obtained results in some graphs. The marking criteria will consider the understanding of basic formatting style, your ability to pick the correct graph and data visualization through a case study. It will assure the ability of the student in highlighting part of the information for which there is some interest as well as summarizing relevant information and visualizing it in a graph.

Assessment criteria for Assessment 3 (LO1, LO2 & LO3 will be assessed) This assessment will be marked according to the following criteria: o Knowledge and understanding : Student needs to demonstrate an understanding of the Google Sheet environment, menu bars, and how to insert and configure charts. o Cognitive Skills : Student needs to demonstrate the ability to develop and design the chart/ graph based on the question provided. o Practical and professional skills : Students need to demonstrate best design practices relating to the chosen chart as well as presenting chart in a clear and professional manner.

 

Assessment 4:

Practical Assessment By the end of the module, you will carry out a 2-hours Practical Assignment. The aim of the assessment is to assess your ability on utilising the basic tool and determining best design practice relating to the certain data set with the aims to improve audiences’ comprehension and decision making. You will be asked to demonstrate in a practical assessment an understanding of the Google Sheet environment, as well as identifying the types of graphs or/and charts to be presented depending on certain data sets.

Assessment criteria for Assessment 1 (LO1, LO2 & LO3 will be assessed) This assessment will be marked according to the following criteria: o Knowledge and understanding (15%): Student needs to demonstrate an understanding of the Google Sheet environment, menu bars, and how to insert and configure charts. o Cognitive Skills (15%): Student needs to demonstrate the ability to identify what graph to use based on different data sets. o Practical and professional skills (70%): Students need to demonstrate best design practices relating to the chosen chart as well as presenting chart in a clear and professional manner.

 

Learning Outcomes

LO1. Demonstrates an understanding of the Excel environment, menu bars, basic formatting and how to insert and configure charts.

LO2. Identify what charts/graphs that are best to use for certain data sets.

LO3. Visualise data and results in different types of graphs.

 

Download Syllabus here:

/files/107980/MSG_DataVizualisation_2022_23_MIUC.docx.pdf

 

 

 

Here is the class outline:

1. Week 1 - Introduction to Data Visualization

Week description
Week 1 - Lesson 2
Video Recording lesson 1
Video Recording lesson 2

2. Week 2 - What is Data Visualization?

The Good, The Bad, and The Ugly
Techniques to Make Your Charts More Engaging
Quick Reference file
VIDEO RECORDING TUESDAYS LESSON
VIDEO RECORDING THURSDAY LESSON

3. Week 3 - Customizing Charts in Google Sheets

Customizing Charts in Google Sheets
Introduction to Google Sheets
Your first Graph / Chart
DONT PANIC - HANS ROSLING VIDEO
VIDEO RECORDING THURSDAYS LESSON

4. Week 4 - Customizing Charts in Google Sheets

Customizing Charts in Google Sheets
A1 - Multiple Questionnaire - Chart Customisation
Exam Preparation
VIDEO RECORDING TUESDAY LESSON

5. Week 5 -Storytelling with data?

Storytelling with Data?

6. Week 6 - what graph

Exam fro week 6

A2 Multiple Questionnaire - What Graph?

7. Week 7 - Bar & Column Charts

Bar & Column Charts
Files for Tuesdays Lesson
Bar & Column Charts / Challenge
VIDEO RECORDING TUESDAY LESSON
VIDEO RECORDING THURSDAY LESSON

8. Week 8 - Histograms

Histograms
Week 8 - Histogram Challenge
VIDEO RECORDING TUESDAY LESSON

9. Week 9 - Line Charts & Trendlines

Files for Tuesdays Lesson - Trendline
Files for Thursdays Lessons / Challenge
VIDEO RECORDING TUESDAY LESSON

10. Week 10 - Area Charts

Area Charts
Area Charts Tutorial Files
Area Chart Challenge
A3 - In-class exercise 3: Case Study to Visualize Data and Summarize Results
VIDEO RECORDING TUESDAY LESSON

11. Week 11 - Pies Charts

Pie Charts
Donut Charts / Tutorial File
Pie chart / donut - Challenge
Thursday Challenge
VIDEO RECORDING TUESDAY LESSON
VIDEO RECORDING THURSDAY LESSON

12. Week 12 - Scatter Plots & Bubble Charts

Scatterplots & Bubble Charts
Exercise files
Scatterplots/Bubblecharts Challenge
VIDEO RECORDING TUESDAY LESSON

13. Week 13 - MOCK TEST

MOCK TEST

14. Week 13 - Combo Charts

– Combo Charts
Combo Charts Challenge
Combo Chart Challenge - Tuesday