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
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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
- 5 stars84.55%
- 4 stars13.23%
- 3 stars0.49%
- 2 stars0.73%
- 1 star0.98%
TOP REVIEWS FROM INTRODUCTION TO ACCOUNTING DATA ANALYTICS AND VISUALIZATION
It teaches us the basics of data analytics and it is very progressive. There are assignments to help us understand and practice the methods being taught. This allows us to have first-hand experiences.
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
For a beginner at excel, this course really teaches you a lot about data visualisation and organising data in excel and other similar applications.
This is a really helpful course! I have learned not only about using Excel for accounting, but also the many functions of Excel.
About the Accounting Data Analytics Specialization
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