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Tuesday, February 23, 2021 Live Webcast

Excel - Advanced Financial and Statistical Calculations (X3-2736471)

1:00 PM - 3:00 PM EST

Vendor Platform

2.0 CPE Credits in SK


Excel has over 500 functions that are built-in and ready to use. You just have to figure out which one to use and when. In this webcast, we will focus on Financial, Statistical and Math functions. In the Financial functions section, you will learn how to use the financial functions to build better amortization schedules. In the Statistical and Math functions sections, you will learn how to use various statistical functions to analyze your data. Regardless of the version you are using, ALL concepts covered in this course apply to ALL versions of Excel.


•Choose complex amortization schedules

•Use math functions to make SUM functions more accurate

•Analyze data using the statistical functions


* best practices for creating amortization schedules and calculating annual interest payments

*calculating and summarizing data with SUMIF and SUBTOTAL functions

*using statistical functions to Analyze data




Bryan Smith

Bryan L. Smith, CPA.CITP, CISA

CPA Crossings, LLC

Bryan is the co-founder of CPA Crossings, LLC, (est. 2001), which specializes in helping accounting, tax and financial professionals leverage technology to increase the quality and efficiency of their services.

He has extensive knowledge and experience in proper Excel design techniques as well as helping CPAs build spreadsheets that are accurate. As a Certified Information Systems Auditor (CISA), Bryan has spent a considerable amount of time auditing and validating thousands of Excel spreadsheets. He has developed various data analysis and Microsoft Power BI courses and provides coaching services to various organizations to train and coach staff on proper data analysis techniques.

Bryan, who has a Master of Science in Information Assurance, is a member of the Information System Audit and Control Association and is a past chair of task forces for the Michigan Association of CPAs.


$99.00 - Member

$119.00 - Nonmember

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