Unlocking the Power of Python in Accounting

In the world of accounting, professionals are constantly seeking ways to use innovative tools to streamline processes and enhance efficiency. For example, Python is a powerful coding language that has revolutionized the way that accountants analyze and interpret financial data.

This fall quarter, I chose to waive a core course in the Master of Professional Accountancy program so that I could take Machine Learning with Python. The class teaches how Python can be applied to the business world. As an aspiring accountant, I recognized that learning how to code using Python would set me apart.

An understanding of coding allows me to approach problems from a different perspective, and it is a tangible skill set that gives me an immediate leg-up in being able to address big data problems that businesses face. This is a skill set that many public accounting firms are actively seeking in new talent.

The Benefits of Machine Learning with Python

Python can be used to automate repetitive tasks, which gives accountants more time to focus on strategic tasks.

In class, Professor Catherine Yang demonstrated how Python can be used by a variety of business professionals. She has shown me how Python can be leveraged at accounting firms by teaching me how to use Python code to connect basic data sources, clean them up, and present the data in a high-quality fashion. This quality data can be used to make informed business decisions and can also be the basis for further analysis.

In Professor Yang’s class, I learned how to use Python as an accounting professional to communicate complex information in a way that will help businesses make better-informed decisions.

Why Accountants Should Embrace Python

Aspiring accountants are entering a business world where firms will expect employees to know how to produce complex financial data analyses for clients.

Python is a powerful coding language that can unlock effective ways to produce complex, yet high-quality, data analyses. From automating repetitive tasks to helping in the development of predictive models for large data sets, Python can elevate an accountant's skill set and help them work on strategic projects that will contribute to the growth of a firm.

Those with Python skills will be able to navigate an accounting world that prioritizes innovation, efficiency, and high-level data analysis. After taking Professor Yang’s course, I feel well-equipped for a rewarding career path.  

I am thankful for the opportunity to expand my knowledge base and encourage aspiring accountants to learn about how coding can be applied to their MPAc studies and future careers.