Accounting has always been about analytical thinking. From the earliest days of the profession, Luca Pacioli emphasized the importance of math and order for analyzing business transactions. The skillset that accountants have needed to perform math and to keep order has evolved from pencil and paper, to typewriters and calculators, then to spreadsheets and accounting software. A new skillset that is becoming more important for nearly every aspect of business is that of big data analytics: analyzing large amounts of data to find actionable insights. 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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Université de l'Illinois à Urbana-Champaign
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Meilleurs avis pour INTRODUCTION TO ACCOUNTING DATA ANALYTICS AND VISUALIZATION
Excellent content! Instructor was amazing...interesting and comprehensive. Assignments were excellent as well, though peer-review was impossible because no one kept up with me in the course.
Excellent course, well structured, taught by a subject matter expert, suitable for individuals with executive background as well as middle-level and junior learners. Highly recommended.
Very insightful session on how to get the best picture out of huge data. I certainly like the homework as it gave me time to practice on certain items. I highly recommend to those who take
It provides a lot of hands on example that really help with the explanation of the concepts taught
À propos du Spécialisation 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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