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Course 4615 | Virtual | Classroom
Data Analysis and Modeling Techniques
Overview
Analyze data to help solve your organization’s most complex challenges and requirements. Learn the core techniques used to analyze and model complex data into understandable information. Gather the skills to interpret data using Microsoft Excel with lessons enhanced with application-based demonstrations and exercises that will provide you with the skills needed to apply these concepts back on the job.
Who Attends
This course is designed for professionals who need to interpret data to aid in organizational decision-making and problem-solving.
Course Level: Advanced
CLP: 32 | CPE: 32
Duration: 4 Days
Price: $ 2649.00 
Course prices shown here do not include a credit card surcharge. Payments by ACH, EFT, or check do not include the surcharge and are offered at a lower price. At checkout, you may choose a payment method that avoids the credit card surcharge.
Course Details
Volume Discounts (5+ Seats)
Private Group TrainingAvailable Dates
Guaranteed to Run are designated with a 
August 17 - August 20, 2026
Class ID: 264615008
Washington, DC
8 AM - 4 PM EST
October 19 - October 22, 2026
Class ID: 264615010
Virtual
9 AM - 5 PM EST
December 7 - December 10, 2026
Class ID: 264615012
Virtual
9 AM - 5 PM EST
January 11 - January 14, 2027
Class ID: 274615001
Virtual
9 AM - 5 PM EST
February 8 - February 11, 2027
Class ID: 274615002
Virtual
9 AM - 5 PM EST
April 12 - April 15, 2027
Class ID: 274615003
Virtual
9 AM - 5 PM EST
June 7 - June 10, 2027
Class ID: 274615004
Virtual
9 AM - 5 PM EST
August 16 - August 19, 2027
Class ID: 274615005
Washington, DC
8 AM - 4 PM EST
October 18 - October 21, 2027
Class ID: 274615006
Virtual
9 AM - 5 PM EST
December 6 - December 9, 2027
Class ID: 274615007
Virtual
9 AM - 5 PM EST
Learning Objectives
- Describe data analysis, data modeling, and the analytics process model
- Review and modify data to prepare for data analysis
- Identify general statistical techniques for data analysis
- Determine how to summarize data to present information using descriptive statistics
- Use a correlation chart to determine the strength of a correlation
- Explain relationships in data and apply regression and other forecasting techniques to forecast probable events
- Demonstrate how to use simulation techniques to solve complex problems
- Identify how to track and control Processes with Statistical Process Control (SPC)
- Conduct a sensitivity analysis to solve complex problems
- Evaluate how well an analysis meets organizational goals
Additional Features
100% Satisfaction Guarantee
100% Satisfaction Guarantee.
AI Prompts
Get quick start prompts and ideas to help you apply what you've learned using AI tools effectively.
Extended Learning Bursts
Reinforce course content with short, focused refreshers you can access anytime.
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Dedicated In-House Accessibility / Section 508 Compliance
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Student Resource Guides
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