dotsdots

Introduction to Accounting Data Analytics and Visualization

Description

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.Read more.

This resource is offered by an affiliate partner. If you pay for training, we may earn a commission to support this site.

Career Relevance by Data Role

The techniques and tools covered in Introduction to Accounting Data Analytics and Visualization are most similar to the requirements found in Data Analyst job advertisements.

Similarity Scores (Out of 100)

Learning Sequence

Introduction to Accounting Data Analytics and Visualization is a part of one structured learning path.

Coursera
University of Illinois at Urbana-Champaign

4 Courses 7 Months

Accounting Data Analytics