About this Course

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100% online
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Flexible deadlines
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Beginner Level
Approx. 19 hours to complete
English

Skills you will gain

Data AnalysisPredictive AnalyticsData Visualization (DataViz)Data Architecturecoding
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.
Beginner Level
Approx. 19 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

Week
1

Week 1

1 hour to complete

INTRODUCTION TO THE COURSE

1 hour to complete
2 videos (Total 5 min), 5 readings
2 videos
About Ronald Guymon2m
5 readings
Syllabus10m
Glossary10m
About the Discussion Forums10m
ePub10m
Update Your Profile10m
1 hour to complete

MODULE 1: INTRODUCTION TO ACCOUNTANCY ANALYTICS

1 hour to complete
12 videos (Total 60 min), 1 reading, 3 quizzes
12 videos
1.1.1 History and Future of Accounting6m
1.1.2 The Importance of Data and Analytics in Accounting4m
1.1.3 Humans' Relationship with Data6m
1.1.4 Accountants' Role in Shaping How Data Is Used6m
1.1.5 Data Analytics Tools: Spreadsheets vs. Data Science Languages6m
1.2.1 Advanced Data Analytics in Managerial Accounting Overview5m
1.2.2 Advanced Data Analytics in Auditing Overview4m
1.2.3 Advanced Data Analytics in Financial Accounting Overview7m
1.2.4 Advanced Data Analytics in Taxes Overview3m
1.2.5 Advanced Data Analytics in Systems Accounting Overview4m
Module 1 Conclusion1m
1 reading
Module 1 Overview and Resources10m
3 practice exercises
Lesson 1.1 Knowledge Check
Lesson 1.2 Knowledge Check
Module 1 Quiz
Week
2

Week 2

2 hours to complete

MODULE 2: ACCOUNTING ANALYSIS AND AN ANALYTICS MINDSET

2 hours to complete
12 videos (Total 75 min), 1 reading, 4 quizzes
12 videos
2.1.1 Making Room for Empirical Enquiry6m
2.1.2 System 1 vs. System 2 Mindset7m
2.2.1 Linking Core Courses to Analytical Thinking6m
2.2.2 Inductive and Deductive Reasoning7m
2.2.3 Advanced Analytics and the Art of Persuasion7m
2.3.1 FACT Framework: Frame the Question6m
2.3.2 FACT Framework: Assemble the Data8m
2.3.3 FACT Framework: Calculate Results8m
2.3.4 FACT Framework: Tell Others About the Results6m
2.3.5 FACT Framework Review6m
Module 2 Conclusion1m
1 reading
Module 2 Overview and Resources10m
4 practice exercises
Lesson 2.1 Knowledge Check
Lesson 2.2 Knowledge Check30m
Lesson 2.3 Knowledge Check30m
Module 2 Quiz
Week
3

Week 3

2 hours to complete

MODULE 3: DATA AND ITS PROPERTIES

2 hours to complete
12 videos (Total 57 min), 1 reading, 3 quizzes
12 videos
3.1.1 Characteristics that Make Data Useful for Decision Making6m
3.2.1 Structured vs. Unstructured Data6m
3.2.2 Properties of a Tidy Dataframe4m
3.2.3 Data Types5m
3.2.4 Data Dictionaries4m
3.3.1 Wide Data vs. Long Data4m
3.3.2 Merging Data4m
3.3.3 Data Automation1m
3.4.1 Visualization Distributions6m
3.4.2 Visualizing Data Relationships5m
Module 3 Conclusion1m
1 reading
Module 3 Overview and Resources10m
3 practice exercises
Lesson 3.2 Knowledge Check30m
Lesson 3.4 Knowledge Check30m
Module 3 Quiz
Week
4

Week 4

3 hours to complete

MODULE 4: DATA VISUALIZATION 1

3 hours to complete
17 videos (Total 103 min), 1 reading, 5 quizzes
17 videos
4.1.1 Why Visualize Data?7m
4.1.2 Visual Perception Principles6m
4.1.3 Data Visualization Building Blocks9m
4.2.1 Basic Chart Data2m
4.2.2 Scatter Plots9m
4.2.3 Bar Charts7m
4.2.4 Box and Whisker Plots5m
4.2.5 Line Charts6m
4.2.6 Maps5m
4.3.1 Financial Chart Data5m
4.3.2 Waterfall Charts6m
4.3.3 Candlestick Charts6m
4.3.4 Treemaps and Sunburst Charts6m
4.3.5 Sparklines and Facets5m
4.3.6 Charts to Use Sparingly8m
Module 4 Conclusion2m
1 reading
Module 4 Overview and Resources10m
4 practice exercises
Lesson 4.1 Knowledge Check
Lesson 4.2 Knowledge Check
Lesson 4.3 Knowledge Check
Module 4 Quiz

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Accounting Data Analytics

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