Introduction to Accounting Data Analytics and Visualization from Coursera

Accounting has always been about analytical thinking. From the earliest days of the profession, Luca Pacioli emphasized the importance of math and order for analyzing business transactions. The skillset that accountants have needed to perform math and to keep order has evolved from pencil and paper, to typewriters and calculators, then to spreadsheets and accounting software. A new skillset that is becoming more important for nearly every aspect of business is that of big data analytics: analyzing large amounts of data to find actionable insights. This course is designed to help accounting students develop an analytical mindset and prepare them to use data analytic programming languages like Python and R.

We’ve divided the course into three main sections. In the first section, we bridge accountancy to analytics. We identify how tasks in the five major subdomains of accounting (i.e., financial, managerial, audit, tax, and systems) have historically required an analytical mindset, and we then explore how those tasks can be completed more effectively and efficiently by using big data analytics. We then present a FACT framework for guiding big data analytics: Frame a question, Assemble data, Calculate the data, and Tell others about the results.

In the second section of the course, we emphasize the importance of assembling data. Using financial statement data, we explain desirable characteristics of both data and datasets that will lead to effective calculations and visualizations.

In the third, and largest section of the course, we demonstrate and explore how Excel and Tableau can be used to analyze big data. We describe visual perception principles and then apply those principles to create effective visualizations. We then examine fundamental data analytic tools, such as regression, linear programming (using Excel Solver), and clustering in the context of point of sale data and loan data. We conclude by demonstrating the power of data analytic programming languages to assemble, visualize, and analyze data. We introduce Visual Basic for Applications as an example of a programming language, and the Visual Basic Editor as an example of an integrated development environment (IDE).

What's inside

Syllabus

Course Introduction and Module 1: Introduction to Accountancy Analytics

In this module, you will become familiar with the course, your instructor and your classmates, and our learning environment. This orientation module will also help you obtain the technical skills required to navigate and be successful in this course.

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Suitable for Accounting students who want to develop an analytical mindset and prepare to utilize data analytic programming languages

Emphasizes the importance of assembling data effectively

Leverages Excel and Tableau effectively for analyzing data

Demonstrates fundamental data analytic tools like regression, linear programming, and clustering

Introduces Visual Basic for Applications as an example of a programming language and Visual Basic Editor as an example of an integrated development environment (IDE)

Reviews summary

Accounting data analytics and visualization introduction

According to learners, this course provides a solid introduction to data analytics within an accounting context. Many appreciate how it bridges traditional accounting concepts with modern data tools. The sections covering Excel and Tableau are frequently highlighted as practical and well-explained, offering useful hands-on experience. While the course is seen as an excellent starting point for accounting professionals new to data analytics, the introduction to programming/automation tools like VBA is generally considered very brief, serving more as an overview than in-depth training. Overall, students find it relevant and valuable for developing an analytical mindset in accounting.

Practical assignments solidify understanding of tools.

"The assignments were well-designed and helped reinforce the concepts taught in the modules."

"I enjoyed the practical nature of the homework problems using the tools learned."

"Completing the assignments was crucial for applying what I learned about Excel and Tableau."

"The mini-case studies provided valuable practice."

Concepts and tools are explained clearly by instructors.

"The instructors explain the concepts very clearly, making it easy to understand complex topics."

"I found the lectures well-structured and the explanations concise."

"The clarity of instruction throughout the modules was a major strength."

"Great job explaining the analytical concepts and tool usage step-by-step."

Accessible and a great starting point for newcomers.

"This course is excellent for someone new to data analytics but with an accounting background."

"It provides a solid foundation without being overwhelming for a beginner."

"As someone with no prior analytics experience, I found this course very approachable."

"Perfect for getting your feet wet in accounting data analytics."

Focuses on using Excel and Tableau for practical data tasks.

"The Excel and Tableau modules were very practical and easy to follow, providing useful skills."

"I found the hands-on examples using Excel Solver and Tableau particularly helpful."

"Learning how to create effective visualizations in Tableau was a major takeaway for me."

"The practical application using Excel and Tableau made the concepts easy to grasp."

Connects analytics concepts specifically to accounting tasks.

"The course did a great job of connecting data analytics to accounting and showing how it can be applied."

"Finally, a course that explains data analytics specifically for accounting professionals!"

"I appreciated how the FACT framework was integrated into accounting scenarios."

"It really helped me see how these tools can be used in my daily accounting work."

The programming/automation section is very limited.

"The VBA part at the end was too short and felt like just a brief mention."

"Wish the course had delved deeper into programming languages like Python or R, the VBA intro was minimal."

"The automation module (VBA) felt very introductory, barely scratching the surface."

"While Excel/Tableau coverage was good, the coding aspect was disappointing in its brevity."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Introduction to Accounting Data Analytics and Visualization with these activities:

Review concepts of accounting

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Reviewing the fundamentals of accounting will help you to better understand the material that will be covered in the course.

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Review your notes from previous accounting courses.
Take practice quizzes on accounting concepts.
Read articles and blog posts about accounting.

Form a study group

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Enhance your understanding of course concepts by engaging in discussions and sharing insights with peers, fostering a collaborative learning environment.

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Find a group of classmates with complementary skills and interests.
Establish a regular meeting schedule and set clear goals for each session.
Take turns presenting topics, leading discussions, and providing feedback.

Solve regression problems

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Reinforce your understanding of regression analysis by solving practice problems, solidifying your skills in this area.

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Find practice problems online or in textbooks.
Solve the problems step-by-step, showing your work.
Check your answers against provided solutions or consult with a tutor or instructor if needed.

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Explore advanced Excel functions

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Expand your proficiency in Excel by exploring advanced functions that can enhance your data analysis and manipulation abilities.

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Identify specific Excel functions that align with your learning goals.
Find online tutorials or documentation on those functions.
Follow the tutorials step-by-step, practicing the functions in your own spreadsheets.

Join a study group

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Joining a study group will allow you to discuss the course material with other students and to get help with any difficult concepts.

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Find a study group that is appropriate for your level of experience.
Attend the study group meetings.
Participate in the discussions.

Build a data visualization dashboard

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Test your data visualization skills by creating a comprehensive dashboard that effectively communicates insights from a given dataset, showcasing your proficiency in presenting data in a visually compelling way.

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Choose a dataset and identify the key insights you want to convey.
Design the layout of your dashboard, including the appropriate charts and graphs.
Develop the dashboard using Tableau or a similar tool.
Present your dashboard to others for feedback and refinement.

Develop a case study analysis

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Demonstrate your ability to apply course concepts to real-world scenarios by developing a comprehensive analysis of a business case study, showcasing your analytical and problem-solving skills.

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Choose a case study that is relevant to the course topics.
Analyze the case study using the concepts and techniques covered in the course.
Develop a written report or presentation that outlines your analysis and recommendations.

Develop a financial plan for a small business

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Developing a financial plan for a small business will help you to apply the concepts that you have learned in the course to a real-world situation.

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Gather information about the small business.
Analyze the small business's financial situation.
Develop a financial plan for the small business.
Present the financial plan to the small business owner.

Contribute to an open-source accounting project

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Contributing to an open-source accounting project will allow you to learn about the latest accounting technologies and to give back to the accounting community.

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Find an open-source accounting project that you are interested in.
Contribute to the project.
Submit a pull request.

Career center

Learners who complete Introduction to Accounting Data Analytics and Visualization will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts are responsible for collecting, cleaning, and analyzing data to help businesses make informed decisions. This course provides a solid foundation for this role by teaching how to use Excel and Tableau to analyze large datasets. Graduates of this course will be especially well prepared for the tasks that Data Analysts perform, which often require strong analytical skills and the ability to communicate insights effectively.

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Machine Learning Engineer

Machine Learning Engineers build and deploy machine learning models to solve real-world problems. This course provides a foundation for this role by teaching how to use machine learning algorithms to analyze data and make predictions. Graduates of this course will be especially well prepared for the tasks that Machine Learning Engineers perform, which often require strong analytical skills and the ability to communicate effectively with both technical and non-technical audiences.

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Statistician

Statisticians collect, analyze, and interpret data to help businesses make informed decisions. This course provides a foundation for this role by teaching how to use statistical methods to analyze data and draw conclusions. Graduates of this course will be especially well prepared for the tasks that Statisticians perform, which often require strong analytical skills and the ability to communicate effectively with both technical and non-technical audiences.

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Data Scientist

Data Scientists use data to solve complex problems and make predictions. This course provides a foundation for this role by teaching how to analyze data and build predictive models. Graduates of this course will be especially well prepared for the tasks that Data Scientists perform, which often require strong analytical skills and the ability to communicate effectively with technical and non-technical audiences.

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Data Engineer

Data Engineers build and maintain the infrastructure that is used to store and process data. This course provides a foundation for this role by teaching how to use data engineering tools and technologies to manage data. Graduates of this course will be especially well prepared for the tasks that Data Engineers perform, which often require strong analytical skills and the ability to communicate effectively with both technical and non-technical audiences.

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Business Analyst

Business Analysts help businesses improve their performance by identifying and solving problems. This course provides a foundation for this role by teaching how to use data analysis to understand business processes and make recommendations for improvement. Graduates of this course will be especially well prepared for the tasks that Business Analysts perform, which often require strong analytical skills and the ability to communicate effectively with both technical and non-technical audiences.

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Software Engineer

Software Engineers design, develop, and maintain software applications. This course provides a foundation for this role by teaching how to use programming languages and software development tools to build software applications. Graduates of this course will be especially well prepared for the tasks that Software Engineers perform, which often require strong analytical skills and the ability to communicate effectively with both technical and non-technical audiences.

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Management Consultant

Management Consultants help businesses improve their performance by providing advice on strategy, operations, and technology. This course provides a foundation for this role by teaching how to analyze data and make recommendations for improvement. Graduates of this course will be especially well prepared for the tasks that Management Consultants perform, which often require strong analytical skills and the ability to communicate effectively with clients.

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Investment Analyst

Investment Analysts are responsible for evaluating and recommending investments. This course provides a foundation for this role by teaching how to analyze financial data and make investment recommendations. Graduates of this course will be especially well prepared for the tasks that Investment Analysts perform, which often require strong analytical skills and the ability to communicate effectively with clients.

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Risk Analyst

Risk Analysts are responsible for identifying and managing risks that could impact a business. This course provides a foundation for this role by teaching how to analyze data and identify potential risks. Graduates of this course will be especially well prepared for the tasks that Risk Analysts perform, which often require strong analytical skills and the ability to communicate effectively with management.

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Auditor

Auditors are responsible for examining and evaluating financial records to ensure that they are accurate and compliant with regulations. This course provides a foundation for this role by teaching how to analyze financial data and identify potential risks. Graduates of this course will be especially well prepared for the tasks that Auditors perform, which often require strong analytical skills and the ability to understand complex financial transactions.

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Forensic Accountant

Forensic Accountants are responsible for investigating financial crimes and fraud. This course provides a foundation for this role by teaching how to analyze financial data and identify potential fraud. Graduates of this course will be especially well prepared for the tasks that Forensic Accountants perform, which often require strong analytical skills and the ability to communicate effectively with law enforcement and legal professionals.

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Financial Planner

Financial Planners help individuals and families plan for their financial future. This course provides a foundation for this role by teaching how to analyze financial data and make recommendations for investment and retirement planning. Graduates of this course will be especially well prepared for the tasks that Financial Planners perform, which often require strong analytical skills and the ability to communicate effectively with clients.

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Financial Analyst

Financial Analysts typically help companies make sound business decisions by providing insights into financial data. This course helps build a foundation for this role by teaching how to prepare, analyze, and present financial information. Graduates of this course will be especially well prepared for the tasks that Financial Analysts perform, which often require a deep understanding of financial markets and the ability to interpret financial statements.

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Tax Accountant

Tax Accountants are responsible for preparing and filing tax returns for individuals and businesses. This course provides a foundation for this role by teaching how to analyze tax laws and regulations. Graduates of this course will be especially well prepared for the tasks that Tax Accountants perform, which often require strong analytical skills and the ability to stay up-to-date on tax laws.

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