# Data Analytics: Tools and Techniques Course (Self-Paced)

Canonical URL: <https://www.graduateschool.edu/courses/data-analytics-tools-and-techniques-course-self-paced>

## Overview

This seminar is a condensed, quick-paced overview of the principles, tools, techniques, and applications of data analytics within a contemporary audit environment. Large amounts of electronic data present an enormous challenge and opportunity to identify trends, correlations, levels of compliance, activity, risks, possible fraud, errors, and otherwise hidden causes and effects in financial, performance, and operational activity. This seminar will demonstrate the application of software and a case study to demonstrate the power of available tools to extract, sort, and identify specific information from databases and the cloud. Participants will also explore approaches to using data to identify risks and outliers, monitor activity, and display and chart results for reporting and presentation, as well as current industry data trends and threats. For the virtual version, students must have Excel with the Data Analysis ToolPak activated (this is included with Excel software).

## What you'll learn

- Explain the importance of data analytics in auditing, performance assessment, and financial management.
- Identify patterns and outliers quickly to make decisions on what to analyze.
- Describe the difference between structured and unstructured data.
- Use the Data Analysis Maturity Model and identify your organization’s maturity.
- Practice on multiple case studies, analyzing with an audit-specific data analysis tool.
- List common data analysis tools that can be used in auditing.
- Explain various trends in data analysis, data architecture, and data governance, and their implications on auditing.

## Curriculum

#### Morning Session

- Why Data Analytics in Audit?
- Approaches to Audit Data Analysis
- Data Analytics Maturity Model
- Leveraging Data Visualization
- Common Data Analysis Tools

#### Afternoon Session

- What to Analyze in an Audit?
- Hands-On Case Studies
- Advanced Data Analysis Considerations
- Trends in Data Analysis

## Pricing

**Tuition:** $649