Data Analytics for CPAs: Predictive Analytics ON DEMAND

Overview

In this course, you will gain the skills to assess the analytics maturity of client organizations, effectively utilize analytics techniques for forecasting, and identify opportunities for optimization in financial decision-making. We will explore the fundamentals of forecasting, including statistical methods for making and evaluating forecasts. Through practical examples, you will learn how to forecast staffing needs for an office, predict product revenue in complex time series, and employ CART trees for market segmentation when dealing with nonlinear targets.

Highlights

What is forecasting? How to make and evaluate a forecast statistically. Forecasting a simple time series: staffing an office. Forecasting a more complex time series: product revenue forecasting. Forecasting a nonlinear target: CART trees for market segmentation.

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.