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Data Analytics for Finance and Accounting

Learn financial data analytics using Excel and Tableau to analyze big data, make informed decisions, and present insights for accounting and finance.

Learn financial data analytics using Excel and Tableau to analyze big data, make informed decisions, and present insights for accounting and finance.

This comprehensive course bridges data analytics with accounting and finance, addressing the growing need for data-driven decision-making in these fields. Students learn to navigate both structured and unstructured data using the QDAR framework (Questions, Data, Analysis, Results). The curriculum emphasizes practical skills in Excel and Tableau, teaching professionals how to ask strategic questions, handle data effectively, conduct meaningful analyses, and communicate results through visualizations. Designed for modern accountants and finance professionals, the course develops essential analytical mindsets and technical capabilities needed in the Big Data era.

Instructors:

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Data Analytics for Finance and Accounting

This course includes

5 Weeks

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

8,410

What you'll learn

  • Apply data analytics techniques to solve accounting and finance problems

  • Develop hypotheses and design analytical models for financial data

  • Master Excel and Tableau for financial data analysis and visualization

  • Interpret complex data sets and formulate actionable recommendations

Skills you'll gain

Data Analytics
Financial Analysis
Excel
Tableau
Big Data
Data Visualization
Accounting
Decision Making

This course includes:

PreRecorded video

Graded assignments, exams

Access on Mobile, Tablet, Desktop

Limited Access access

Shareable certificate

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Module Description

The course follows a structured approach to data analytics in accounting and finance, built around the QDAR framework. Students learn to formulate relevant questions, understand and prepare data, conduct analyses, and effectively communicate results. The curriculum covers both theoretical concepts and practical applications, with hands-on experience in Excel and Tableau. Special emphasis is placed on working with big data and developing data-driven decision-making skills. Verified learners get access to additional datasets for practical application.

Fee Structure

Instructors

Pioneering Data Analytics and Financial Research at Hong Kong Polytechnic University

Dr. Jingran Zhao, an Assistant Professor in the School of Accounting and Finance at Hong Kong Polytechnic University since 2015, has established herself as a distinguished scholar in financial information and investor behavior research. Her academic journey began with a BBA from Georgia College & State University, where she graduated with honors and an academic excellence award in 2010, followed by her PhD from Emory University. Her research expertise focuses on investor decision-making processes, examining various information sources including mandatory and voluntary disclosures, analyst reports, news media, and social media platforms. As co-founder of the AF Tech Lab, she has been instrumental in advancing students' programming skills and FinTech knowledge beyond traditional classroom settings. Her teaching excellence has been recognized with multiple awards, including the School's Award for Outstanding Teaching and the Faculty of Business's Award for Outstanding Achievement in teaching in 2020. Her scholarly work has gained recognition through publications in prestigious journals such as the Journal of Accounting and Economics, while her innovative approach to teaching data analytics in accounting and finance at the master's level has significantly enhanced the practical skills of her students

Distinguished Scholar in Accounting and Finance Research at Multiple Premier Institutions

Professor Jeffrey Ng, currently serving as a Professor at The University of Hong Kong since July 2022, has built an impressive academic career spanning prestigious institutions worldwide. After earning his PhD from The Wharton School, University of Pennsylvania in 2008, along with a Master in Statistics (2006) and earlier degrees including first-class honors in both Accountancy from Nanyang Technological University and Business Information Technology from the University of Central England, he has held significant positions at leading institutions. His career path includes roles as an assistant professor at MIT Sloan School of Management (2008-2012), associate professor at Singapore Management University (2012-2016), and professor at Hong Kong Polytechnic University (2016-2022). His research contributions have been published in top-tier journals including the Journal of Accounting Research, Journal of Accounting and Economics, and The Accounting Review, while serving as an editor at the European Accounting Review and on the Editorial Board of The Accounting Review

Data Analytics for Finance and Accounting

This course includes

5 Weeks

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

8,410

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.