This Accounting Data Analytics specialization is designed to develop learners’ analytics mindset and knowledge of data analytics tools and techniques, specifically relevant to accounting. The course is divided into four main modules, each focusing on different aspects of data analytics and its application in accounting.
The first module, “Introduction to Accounting Data Analytics and Visualization,” bridges accountancy to analytics by exploring how tasks in the major subdomains of accounting can be completed more effectively using big data analytics. The second module, “Accounting Data Analytics with Python,” focuses on executing Python code for wrangling data, data visualization, and regression analysis. The third module, “Machine Learning for Accounting with Python,” delves into various machine learning algorithms and their application in accounting. The final module, “Data Analytics in Accounting Capstone,” allows learners to apply their knowledge and skills to a real-world problem through statistical analysis, exploratory data analysis, visualization, and creating a machine learning model.
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This specialization consists of four modules focusing on developing an analytical mindset, data preparation, data visualization, data analysis, and machine learning skills relevant to accounting.
Introduction to Accounting Data Analytics and Visualization bridges accountancy to analytics. It identifies the tasks in major subdomains of accounting that require an analytical mindset and explores how those tasks can be completed more effectively and efficiently using big data analytics. Learners will also be introduced to fundamental data analytic tools and programming languages such as Excel and Tableau.
Accounting Data Analytics with Python teaches learners how to operate software to create and run Python code, execute Python code for wrangling data, run fundamental data analytic tasks including descriptive statistics and data visualizations, and manipulate relational databases using Python.
Machine Learning for Accounting with Python introduces learners to various machine learning algorithms and how to apply these models to accounting datasets using Python in Jupyter Notebook. It also covers the evaluation and optimization of machine learning models in the context of accounting.
Data Analytics in Accounting Capstone allows learners to apply their acquired knowledge and skills to a real-world problem. They will explore a loan dataset, perform statistical analysis, exploratory data analysis, visualization, and create a machine learning model to predict loan outcomes, thus applying data analytics skills to real-world accounting problems.
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