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Data Analytics in Accounting and Finance

Understand key concepts in the data analytics process, along with the practical application of data sets in the accounting and finance context.

There is one session available:

After a course session ends, it will be archived.
Starts Jan 18, 2022
Ends Mar 7, 2022
Estimated 5 weeks
2–3 hours per week
Instructor-led on a course schedule
Optional upgrade available

About this course

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This data analytics course takes an interdisciplinary approach to describe the data analytics process in the context of accounting and finance. The growing volume of both structured and unstructured data has pushed forward a more data-driven form of decision making in accounting and finance. To get along with the advancements, accountants and finance professionals need to have an analytics mindset to excel in their jobs.

This course will teach different concepts of accounting and finance with the application of data analytics. It will not only help the learners to develop their skills to ask the right questions but also teach them how to master the data and use different tools like Excel and Tableau, to analyse the data. Eventually, the learners will be able to interpret the results and make their decisions effectively.

This course will use the framework which helps the learners to develop the analytical mindset, which has four major components:

  1. Ask the right questions to address an issue in accounting or finance contexts.

  2. Understand the different data types and how to retrieve and clean data.

  3. Conduct different data analytics to answer the questions

  4. Communicate the results to the decision-makers, using graphs, visualizations and reports.

The whole course will cover different aspects of the framework in conjunction with different types of analyses. There will be additional datasets for the verified learners through which they can practice what they learn during the course.

At a glance

  • Language: English
  • Video Transcript: English

What you'll learn

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  • Understand how data analytics are used to drive decisions in accounting and finance contexts.
  • Form hypothesis, design models, interpret results and formulate actionable recommendations.
  • Use practical experience in applying data science and analytics in Excel and Tableau.

About the instructors

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