About this Course

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Flexible deadlines
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Intermediate Level
Approx. 14 hours to complete
English

Skills you will gain

Data AnalysisAnalyticsBusiness AnalyticsHealth Care
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 14 hours to complete
English

Offered by

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University of Illinois at Urbana-Champaign

Start working towards your Master's degree

This course is part of the 100% online Master of Science in Accountancy (iMSA) from University of Illinois at Urbana-Champaign. If you are admitted to the full program, your courses count towards your degree learning.

Syllabus - What you will learn from this course

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Week
1

Week 1

6 hours to complete

Module 1: Pictures You See with Your Brain

6 hours to complete
7 videos (Total 47 min), 7 readings, 3 quizzes
7 videos
Welcome to Introduction to Business Analytics: Communicating with Data9m
Module 1 Overview1m
Lecture 1-1: Studying The History of Dataviz9m
Lecture 1-2: Understanding Today's Dataviz Tools6m
Lecture 1-3: Making Connections With Visuals8m
Lecture 1-4: Evaluating The Effectiveness Of Dataviz8m
7 readings
Syllabus30m
About the Discussion Forums10m
Glossary10m
Brand Descriptions10m
Update Your Profile10m
Module 1 Overview20m
Module 1 Readings1h 30m
2 practice exercises
Orientation Quiz30m
Module 1 Graded Quiz30m
Week
2

Week 2

3 hours to complete

Module 2: Working Fast and Thinking Slow

3 hours to complete
5 videos (Total 35 min), 2 readings, 2 quizzes
5 videos
Lecture 2-1: Understanding The Growth Of Data6m
Lecture 2-2: Evaluating Methods Of Data Access8m
Lecture 2-3: Focusing Your Communication Journey8m
Lecture 2-4: Planning Your Data Story9m
2 readings
Module 2 Overview20m
Module 2 Readings7m
1 practice exercise
Module 2 Graded Quiz30m
Week
3

Week 3

3 hours to complete

Module 3: Finding Your Data Story

3 hours to complete
5 videos (Total 29 min), 2 readings, 2 quizzes
5 videos
Lecture 3-1: Finding Patterns In Data9m
Lecture 3-2: Being Planful When Creating Dataviz5m
Lecture 3-3: Understanding The Components of Visual Form2m
Lecture 3-4: Creating Inviting Dataviz8m
2 readings
Module 3 Overview10m
Module 3 Readings30m
1 practice exercise
Module 3 Graded Quiz30m
Week
4

Week 4

3 hours to complete

Module 4: Getting Your Story Across

3 hours to complete
5 videos (Total 32 min), 2 readings, 2 quizzes
5 videos
Lecture 4-1: Enriching Content Through Connection7m
Lecture 4-2: Bringing Sophistication To Charts6m
Lecture 4-3: Improving Chart Legibility6m
Lecture 4-4: Presenting Dataviz With Impact8m
2 readings
Module 4 Overview20m
Module 4 Readings1h
1 practice exercise
Module 4 Graded Quiz30m

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