Data and Statistical Analytics Using Microsoft Excel

Author: Stephen M. Yoss

Excel and Power Bi are indispensable tools for financial professionals analyzing business data. Many financial experts fail to tap into its full potential despite its extensive functionality. Excel provides a wide range of analytics that can enhance decision-making, budgeting, forecasting, and much more, from descriptive statistics, regression analysis, to Monte Carlo simulations. Power BI allows you to create incredible dashboards that turn your data into actionable intelligence and provide real-time insight. This course aims to unravel the power of Excel and Power BI by discussing major statistical analysis features and how you can utilize them to analyze your real-world data. Whether you are an aspiring financial analyst or an experienced professional, this course will equip you with the tools to become proficient in Excel analytics and take your business analysis skills to the next level.

Excel analytics can transform how you work with data, offering deep insights critical to your success. Our course will introduce you to Excel's most valuable analysis tools and show you how to use them to create actionable intelligence. You will learn to use Excel to build powerful financial models, perform scenario analysis, optimize resource allocation, and more. It will also introduce Power BI to show you some of the analytics and analysis features inside the platform. You will gain practical experience in Excel and Power BI analytics and develop the skills necessary to apply these techniques in your work. Whether you are a financial analyst, data analyst, or business owner, this course is an excellent opportunity to hone your skills and unlock the full potential of Excel and Power BI.

Publication Date: August 2023

Designed For
A business professional would like to learn more about using statistics for reporting and analysis.

Topics Covered

• Getting Started with Data Analytics
• Mastering Excel's Data Modeling
• Excel Analytics, Statistics and Financial Functions
• Forecasting in Excel
• Enhancing Data Analytics with Pivot Tables
• Extract, Transform and Load Dynamic Data Using Power Query
• Enhancing Data Presentation and Communication with Visualization

Learning Objectives

• List the major types of analytics and how they apply to accounting and finance
• Identify opportunities when statistics and analytics could be used to solve major business projects
• Identify the major functionalities inside of Excel and Power BI that can be useful in performing analytics
• Recognize how to utilize the Forecast.ets and Forecast Sheet functions in Excel to create forward-looking forecasts
• Recognize how to utilize regression analysis to determine the effectiveness of business operations in business budgeting and planning

Level
Intermediate

Instructional Method
Self-Study

NASBA Field of Study
Computer Science (2 hours)

Program Prerequisites
Good working knowledge of Excel and business reporting. Basic knowledge of Power BI would be helpful.

Advance Preparation
None