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.
Este curso forma parte de Programa especializado: Accounting Data Analytics
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Prueba Coursera para negociosHabilidades que obtendrás
- Data Analysis
- Predictive Analytics
- Data Visualization (DataViz)
- Data Architecture
- coding
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Prueba Coursera para negociosOfrecido por
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Programa - Qué aprenderás en este curso
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
Reseñas
- 5 stars84,48 %
- 4 stars13,30 %
- 3 stars0,49 %
- 2 stars0,73 %
- 1 star0,98 %
Principales reseñas sobre INTRODUCTION TO ACCOUNTING DATA ANALYTICS AND VISUALIZATION
I really enjoyed the course and the lecture was very interactive, clear & precise in such a way i felt i was in a classroom.
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.
The two lab sessions were useful and the speaker was well present himself and his points making it easy to understand him.
Being the first online module I've ever taken to date, the content and videos far surpassed my expectations. Looking forward to more!
Acerca de Programa especializado: Accounting Data Analytics

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