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.
This course is part of the Accounting Data Analytics Specialization
About this Course
Skills you will gain
- Data Analysis
- Predictive Analytics
- Data Visualization (DataViz)
- Data Architecture
Start working towards your Master's degree
Syllabus - What you will learn from this course
INTRODUCTION TO THE COURSE
MODULE 1: INTRODUCTION TO ACCOUNTANCY ANALYTICS
MODULE 2: ACCOUNTING ANALYSIS AND AN ANALYTICS MINDSET
MODULE 3: DATA AND ITS PROPERTIES
MODULE 4: DATA VISUALIZATION 1
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- 3 stars0.48%
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- 1 star0.97%
TOP REVIEWS FROM INTRODUCTION TO ACCOUNTING DATA ANALYTICS AND VISUALIZATION
The course enables its learners to get a hands-on experience using tools to accounting data analytics and visualisation.
The level of detail was remarkable! If the right amount of focus and time is put into understanding the why and how... you can use the skills instantly to increase your value in the workplace.
This is a really helpful course! I have learned not only about using Excel for accounting, but also the many functions of Excel.
Useful for those interesting in learning more about data analytics using Excel! Might be a little content heavy towards week 6 but it was interesting nonetheless with plenty of hands-on assignments.
About the Accounting Data Analytics Specialization
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