Course Overview

Data Analysis with Microsoft Excel is a comprehensive resource that teaches many of the advanced analysis and statistical tools available in Excel. It can be used as a follow-on course to the Excel Educator course, or it can be used as a completely independent course. There are three main objectives of this resource. First, it provides a deep dive into the use and capabilities of many of the standard Excel functions. Second, it teaches the more advanced power tools that are provided by Excel. And finally, it teaches many of the statistical and analytical tools that are included in Excel, along with the application of those tools.

The Prometheus ApproachTM leverages scientific understanding of feedback cycles to increase the effectiveness of student learning. It accomplishes this by providing step-by-step demonstration (in both video and text); hands-on, meaningful practice; rapid, detailed feedback on performance; and a two-stage assessment strategy where students make an initial attempt at the assessment task, receive immediate, precise feedback and are allowed to make a second attempt while the experience of the first is still fresh in their minds. The overall assessment score is calculated from scores on both attempts, which ensures that students are cognitively engaged throughout the process. The Prometheus ApproachTM is powered by the ATLAS Feedback EngineTM, a patent-pending technology that delivers very detailed feedback to students in a matter of a few seconds. ATLAS (Automated Technology Learning Assessment System) requires no installation and works on both Windows and Apple operating systems.

What You'll Learn

Introduction: Device and Environment Setup

Introduction to the Book: Data Analysis with Excel

  • Conditional Aggregate Functions
  • Referencing Functions and Date Functions
  • Conditional Formatting Variations
  • Multidimensional Analysis Using PivotTables
  • Advanced Visualization
  • Building Dashboards in Excel
  • Power Query and Power Pivot—Microsoft Windows Only
  • Optimization Using Solver in Excel
  • Simulation in Excel
  • Exploratory Data Analysis and Basic Probability Distributions
  • Inferential Statistics: A/B and A/B/C Tests
  • Prediction Using Linear and Multiple Regression
  • Predicting Class Using Logistic Regression
  • Predicting Class Using the Naïve Bayes Classifier
  • Grouping Objects Using Cluster Analysis
  • Forecasting: Time Series

Who Should Attend

  • Managers
  • Support Staff
  • Executives
  • Line Managers
  • Supervisors
  • Recent Graduates
  • Business Students
  • CEU Seekers
  • Career Pivoter
  • Resume Builders

Additional Information

Students must complete all sections to earn the Digital Badge of Completion.

Enroll Now - Select a section to enroll in
Section Schedule
Date and Time TBA
Delivery Options
Course Fee(s)
Fee non-credit $599.00
Drop Request Deadline
1 day after enrollment
Transfer Request Deadline
1 day after enrollment
Section Notes

This is a self-paced class and you will have 365 days to complete after enrollment.

This course is offered through Anderson School of Management.

UNM Staff, Faculty and Retirees can use their Tuition Remission benefit on professional development programs.

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