Data and Statistical Analytics Using Microsoft Excel

Data and Statistical Analytics Using Microsoft Excel - Virtual

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Availability

Registration Required

Online Meeting

Sep 15, 2026 11:30 AM - 2:30 PM CT

Cost

Member: $130.00

Non-Member: $180.00

Retired: $130.00

Educator & Government & Non-Profit Member: $130.00

Credit Offered

3 CPE Credits

Field of Study:

3 Information Technology

The role of the financial professional has shifted from reporting on the past to predicting the future, yet many practitioners still rely on manual, static workflows that fail to capture the full story within their data. This course bridges the gap between traditional accounting and modern data science by utilizing Excel’s most powerful analytical engines to turn raw numbers into defensible business intelligence. We will move beyond simple averages, exploring how to use the Analysis ToolPak for deep statistical dives and leveraging Dynamic Arrays to build fluid, auto-updating models that respond to changing business conditions in real time.

Participants will explore a modern analytics workflow that balances classic statistical rigor with cutting-edge efficiency. We will examine how to implement regression analysis for more accurate budgeting, utilize advanced forecasting functions to anticipate market shifts, and even leverage AI-assisted insights to find hidden patterns in sprawling datasets. By the end of this session, you will be able to distinguish between mere “data entry” and “data discovery,” providing your firm or organization with the high-level analysis required to navigate an increasingly complex economic landscape.

List the primary categories of business analytics and their practical applications in accounting.
Utilize the Analysis ToolPak to generate descriptive statistics and analyze data distribution patterns.
Implement regression analysis within Excel to identify and quantify key business performance drivers.
Use Dynamic Array functions to create flexible and automated statistical summary reports.
Analyze emerging AI and Python integrations to determine their utility for advanced modeling.

Statistical Foundations: Using the Analysis ToolPak for Insight
Modern Modeling: Leveraging Dynamic Arrays for Live Analytics
Predictive Budgeting: Applying Regression and Forecasting Functions
The 2026 Toolkit: AI Insights and Python Integration Basics

CPAs and financial professionals seeking to modernize their data analysis and forecasting capabilities.

Please note that this course is from a third party vendor, K2 Enterprises. We strongly recommend registering no later than one-hour before the course begins. Please contact K2 if you have questions at least 24 hours before the course begins: webinar@k2e.com. Thank you.