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Accounting Data Analytics

Ronald Guymon and Linden Lu

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What's inside

Three courses

Machine Learning for Accounting with Python

(64 hours)

This course introduces machine learning algorithms and their applications in accounting problems. It covers classification, regression, clustering, text analysis, time series analysis, model evaluation, and model optimization. This course provides an entry point for students to apply machine learning models on business datasets with Python to solve various problems.

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Accounting Data Analytics with Python

This course focuses on developing Python skills for assembling business data. It covers material from Introduction to Accounting Data Analytics and Visualization, but in a more general purpose programming environment (Jupyter Notebook for Python), rather than in Excel and the Visual Basic Editor. These concepts are taught within the context of one or more accounting data domains (e.g., financial statement data from EDGAR, stock data, loan data, point-of-sale data).

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Introduction to Accounting Data Analytics and Visualization

(32 hours)

Accounting has always been about analytical thinking. 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.

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Time

5776 hours

Via

Coursera

Institution

University of Illinois at Urbana-Champaign

Instructors

Ronald Guymon

Linden Lu

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