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Accounting Data Analytics

This specialization develops learners’ analytics mindset and knowledge of data analytics tools and techniques. Specifically, this specialization develops learners' analytics skills by first introducing an analytic mindset, data preparation, visualization, and analysis using Excel. Next, this specialization develops learners' skills of using Python for data preparation, data visualization, data analysis, and data interpretation and the ability to apply these skills to issues relevant to accounting. This specialization also develops learners’ skills in machine learning algorithms (using Python), including classification, regression, clustering, text analysis, time series analysis, and model optimization, as well as their ability to apply these machine learning skills to real-world problems.

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What's inside

Four courses

Machine Learning for Accounting with Python

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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Data Analytics in Accounting Capstone

(0 hours)

This capstone course applies knowledge and skills from previous courses to a real-world problem using a loan dataset from Lending Club. Students will explore features, create a machine learning model, and construct a portfolio to achieve better return than the overall Lending Club platform.

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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

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

16 hours

Via

Coursera

Institution

University of Illinois at Urbana-Champaign

Instructors

Ronald Guymon

Linden Lu

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