Data Analytics for CPAs: Introduction and Descriptive Analytics ON DEMAND

Overview

In this course, we’ll dive into the world of analytics, equipping you with the skills to assess your clients’ analytics maturity and leverage techniques for accurate forecasting. You’ll also learn how to spot opportunities where optimization techniques can enhance financial decision-making. We’ll cover the essentials, from understanding analytics fundamentals to exploring descriptive analytics methods like text mining, multidimensional clustering and statistical outlier detection.

Highlights

What are analytics? Analytics maturity benchmarking: how CPAs can benchmark their clients’ analytics maturity. Three types of analytics: descriptive, predictive, and prescriptive.

Prerequisites

None.

Designed For

CPAs and financial professionals.

Objectives

Determine the level of analytics maturity of a client organization. Recognize how to make and evaluate a forecast using analytics techniques. Identify when optimization techniques can improve financial decision-making.

Preparation

None.

Notice

None.