Course Details
Data and Statistical Analytics Using Microsoft Excel
Course ID#: 432 | Short Title: Statistics Basics | Category: Excel
Course Description
In today’s data-driven business environment, the ability to analyze and interpret data is an invaluable asset for any professional. This comprehensive course equips participants with the skills to utilize Microsoft Excel’s robust analytical tools, transforming raw data into actionable insights. Attendees will discover how to apply descriptive statistics to gauge performance, employ Excel’s advanced functions for predictive forecasting, and harness the power of regression analysis to optimize organizational planning and budgeting.
Participants will leave with a toolkit of techniques to conduct sophisticated data analysis that can inform strategic decisions. By understanding how to identify opportunities for analytics application in real-world business projects, attendees will be able to elevate their organization’s data strategy. They will learn to navigate Excel’s capabilities to create forward-looking forecasts and measure operational effectiveness, gaining a competitive edge in the marketplace. This course is a must-attend for professionals seeking to enhance their analytical prowess and drive their business forward with confidence.
Major Topics
- Harnessing Excel for Advanced Financial Analysis
- Strategic Forecasting with Excel’s Predictive Tools
- Optimizing Business Budgets Using Excel Regression
- Enhancing Decision Quality with Excel Data Insights
Who Should Attend
Ideal for professionals eager to enhance their Excel analytics and decision-making skills.
Learning Objectives
- List the major types of analytics and how they apply to accounting and finance.
- Identity opportunities when statistics and analytics could be used to solve major business projects.
- Identity the major functionalities inside of Excel which can be useful in performing analytics.
- Utilize the forecast.ets and forecast sheet functions to create forward looking forecasts
- Utilize regression analysis to determine effectiveness of business operations in business budgeting and planning.
Course Specifics
Level |
Advanced Preparation |
Prerequisites |
Recommended Duration |
|---|---|---|---|
| Basic | None | None | 150 Minutes |
CPE Credit Recommendations
Primary
|
Primary
|
Secondary
|
Secondary
|
|---|---|---|---|
| Computer Software & Applications | 2 | Not Applicable | Not Applicable |
Created and Updated Dates
Creation Year |
Update Year |
Update Date |
|---|---|---|
| 2023 | 2023 | 02/01/24 |
© Copyright 2024 Stephen M. Yoss. All Rights Reserved.
No part of these CPE courses may be reproduced, distributed, or transmitted in any form or by any means, including photocopying, recording, or other electronic or mechanical methods, without the prior written permission of the author, except for noncommercial uses permitted by copyright law. For more information about this course or any other of Stephen’s content, please visit https://yoss.io
