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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study	Video and Text Based

Course Overview

Introduction to Accounting Data Analytics and Visualization is an online course designed for beginner-level students. The online programme is meant to help the accounting students to have analytical skills and equip them with the capacity to manage the data analytic programming languages such as R, Python and whatnot. Introduction to Accounting Data Analytics and Visualization Certification Syllabus will explore various aspects of financial accounting and analytics including data assembling, the process of big data analysis using Excel and Tableau and many more.

Introduction to Accounting Data Analytics and Visualization Certification Course, the online programme by Coursera, is offered by the University of Illinois at Urbana-Champaign. It is the first course in the four Accounting Data Analytics Specialization courses. After the completion of the Introduction to Accounting Data Analytics and Visualization Certification by Coursera, the learners will be provided with a certificate of completion after making the payment of the fee prescribed by Coursera.

The Highlights

Provided by Coursera
Offered by the University of Illinois at Urbana-Champaign
Self-Paced Learning Option
100% Online Course
Around 19 Hours to Complete
Flexible Deadlines
Shareable Certificate
Financial Aid Available

Programme Offerings

English videos with multiple subtitles
BeginnerLevel course
Shareable Certificate
Financial aid available

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	University of Illinois, Urbana ChampaignCoursera

The Introduction to Accounting Data Analytics and Visualization Certification Fee will vary as per the number of months the learners want to stay on the course and explore the topic. The paid versions offer a shareable certificate, EMI options, refund option, and unlimited material access. The month-wise fee structure is provided in the table below:

Introduction to Accounting Data Analytics and Visualization Fee Structure

Duration	Amount (In INR)
1 Month	INR 6,433
3 Months	INR 12,866 (INR 4,289 /month)
6 Months	INR 19,299 ( INR 3,217 /month)

What you will learn

Accounting proficiencyData science knowledge

By the end of the Introduction to Accounting Data Analytics and Visualization Training, the learners will be able to learn the following concepts:

Data Analysis
Predictive Analytics
Data Visualization (DataViz)
Data Architecture
Coding

Who it is for

Account ManagerAccountantBig Data Analytics EngineerData EngineerBig Data Engineer

Introduction to Accounting Data Analytics and Visualization Classes is highly recommended for professionals including Accountant, Account Manager, Big Data Analytics Engineer, Big data engineer, Data Engineer and the like.

Admission Details

Step 1 - At first, the candidates need to register and sign up at https://www.coursera.org/

Step 2 - Search for ‘The University of Illinois at Urbana-Champaign’ and the online courses offered by the university will appear.

Step 4 - Search for ‘Introduction to Accounting Data Analytics and Visualization’.

Step 5- Click the option ‘enrol’ and start pursuing the online programme.

The Syllabus

Videos

Course Introduction
About Ronald Guymon
Learn on Your Terms

Readings

Syllabus
Glossary
About the Discussion Forums
ePub
Learn More About Flexible Learning Paths
Update Your Profile

Videos

Module 1 Introduction
1.1.1 History and Future of Accounting
1.1.2 The Importance of Data and Analytics in Accounting
1.1.3 Humans' Relationship with Data
1.1.4 Accountants' Role in Shaping How Data Is Used
1.1.5 Data Analytics Tools: Spreadsheets vs. Data Science Languages
1.2.1 Advanced Data Analytics in Managerial Accounting Overview
1.2.2 Advanced Data Analytics in Auditing Overview
1.2.3 Advanced Data Analytics in Financial Accounting Overview
1.2.4 Advanced Data Analytics in Taxes Overview
1.2.5 Advanced Data Analytics in Systems Accounting Overview
Module 1 Conclusion

Reading

Module 1 Overview and Resources

Practice Exercises

Lesson 1.1 Knowledge Check
Lesson 1.2 Knowledge Check
Introduction to Accountancy Analytics: Quiz

Videos

Module 2 Introduction
2.1.1 Making Room for Empirical Enquiry
2.1.2 System 1 vs. System 2 Mindset
2.2.1 Linking Core Courses to Analytical Thinking
2.2.2 Inductive and Deductive Reasoning
2.2.3 Advanced Analytics and the Art of Persuasion
2.3.1 FACT Framework: Frame the Question
2.3.2 FACT Framework: Assemble the Data
2.3.3 FACT Framework: Calculate Results
2.3.4 FACT Framework: Tell Others About the Results
2.3.5 FACT Framework Review
Module 2 Conclusion

Reading

Module 2 Overview and Resources

Practice Exercises

Lesson 2.1 Knowledge Check
Lesson 2.2 Knowledge Check
Lesson 2.3 Knowledge Check
Accounting Analysis and an Analytics Mindset: Quiz

Videos

Module 3 Introduction: What is Data?
3.1.1 Characteristics that Make Data Useful for Decision Making
3.2.1 Structured vs. Unstructured Data
3.2.2 Properties of a Tidy Dataframe
3.2.3 Data Types
3.2.4 Data Dictionaries
3.3.1 Wide Data vs. Long Data
3.3.2 Merging Data
3.3.3 Data Automation
3.4.1 Visualization Distributions
3.4.2 Visualizing Data Relationships
Module 3 Conclusion

Reading

Module 3 Overview and Resources

Practice Exercises

Lesson 3.2 Knowledge Check
Lesson 3.4 Knowledge Check
Data and Its Properties: Quiz

Videos

Module 4 Introduction
4.1.1 Why Visualize Data?
4.1.2 Visual Perception Principles
4.1.3 Data Visualization Building Blocks
4.2.1 Basic Chart Data
4.2.2 Scatter Plots
4.2.3 Bar Charts
4.2.4 Box and Whisker Plots
4.2.5 Line Charts
4.2.6 Maps
4.3.1 Financial Chart Data
4.3.2 Waterfall Charts
4.3.3 Candlestick Charts
4.3.4 Treemaps and Sunburst Charts
4.3.5 Sparklines and Facets
4.3.6 Charts to Use Sparingly
Module 4 Conclusion

Reading

Module 4 Overview and Resources

Practice Exercises

Lesson 4.1 Knowledge Check
Lesson 4.2 Knowledge Check
Lesson 4.3 Knowledge Check
Data Visualization 1: Quiz

Videos

Module 5 Introduction
5.1.1 Getting Started with Tableau
5.1.2 Scatter Plots in Tableau
5.1.3 Scatter Plots in Tableau
5.1.4 Bar Charts and Histograms in Tableau
5.1.5 Box Plots and Line Charts in Tableau
5.2.1 Adding Dimensions in Tableau
5.2.2 Facets and Groups in Tableau
5.3.1 Data Joins in Tableau
5.3.2 Tableau Analytics - Forecasts
5.3.3 Tableau Analytics - Clusters and Confidence Intervals
5.4.1 Communicating Tableau Analyses
Module 5 Conclusion

Reading

Module 5 Overview and Resources

Practice Exercises

Lesson 5.2 Knowledge Check
Lesson 5.4 Knowledge Check
Data Visualization 2: Quiz

Videos

Module 6 Introduction
6.1.1 Framing a Question: Larry's Commissary
6.1.2 Assembling Data
6.1.3 Data Analysis ToolPak and Descriptive Statistics
6.1.4 Correlation
6.2.1 Linear Models
6.2.2 Simple Regression
6.2.3 Regression Diagnostics 1: Regression Summary, ANOVA, and Coefficient Estimates
6.3.1 Multiple Regression
6.3.2 Regression Diagnostics 2: Predicted Values, Residuals, and Standardized Residuals
6.3.3 Regression Diagnostics 3: Line Fit Plots, Adjusted R Square, and Heat Maps for P-Values
6.4.1 Making a Forecast with a Linear Model
Module 6 Conclusion

Reading

Module 6 Overview and Resources

Practice Exercises

Lesson 6.1 Knowledge Check
Lesson 6.2 Knowledge Check
Lesson 6.4 Knowledge Check
Analytic Tools in Excel 1: Quiz

Videos

Module 7 Introduction
7.1.1 Polynomial Regression Models
7.1.2 Categorical Variables
7.1.3 Multiple Indicator Variables
7.1.4 Interaction Terms
7.1.5 Regression Summary
7.2.1 Optimization with Excel Solver
7.2.2 Solver Constraints and Reports
7.3.1 Logit Transformation
7.3.2 Simple Logistic Regression
7.3.3 Logistic Regression Accuracy
Module 7 Conclusion

Reading

Module 7 Overview and Resources

Practice Exercises

Lesson 7.1 Knowledge Check
Lesson 7.3 Knowledge Check
Analytic Tools in Excel 2: Quiz

Videos

Module 8 Introduction
8.1.1 Recording Macros
8.1.2 Basics of VB Editor
8.1.3 Basics of VBA
8.2.1 For Loops, Variables, Index Numbers, and Last Rows
8.2.2 Programming Hints
8.2.3 Conditional Statements
8.3.1 Macro for Creating Multiple Histograms
8.3.2 Clustering Overview
8.3.3 K-Means Clustering in Excel
8.3.4 K-Means Clustering Macro
8.3.5 Clustering On a Larger Scale
Module 8 Conclusion
Gies Online Programs

Readings

Module 8 Overview and Resources
Congratulations!
Get Your Course Certificate

Practice Exercises

Lesson 8.1 Knowledge Check
Lesson 8.2 Knowledge Check
Lesson 8.3 Knowledge Check
Automation in Excel: Quiz

Instructors

University of Illinois, Urbana Champaign Frequently Asked Questions (FAQ's)

1: To which specialization the Introduction to Accounting Data Analytics and Visualization online course belong?

The online programme is the first course in the four Accounting Data Analytics Specialization courses.

2: Who teaches the Accounting Data Analytics Specialization online programme?

The online course is taught by Ronald Guymon who is the Senior Lecturer of Accountancy at the University of Illinois at Urbana-Champaign.

3: Can learners who are not familiar with English join the online programme?

Yes, learners around the globe can join the online course regardless of their linguistic background because the subtitles are available in all major international languages like Arabic, French, Portuguese (European), Italian, Vietnamese, German, Russian, English, and Spanish.

4: How many hours will it take to complete the online certificate programme?

The learners can complete the online programme within about 19 hours.

5: What is the fee structure of the programmes? What if someone struggles to make the fee payment?

The fee will depend completely on how many months the students will continue on the course. The students who cannot afford the fee can apply for the scholarship provided by Coursera.