Introduction to Data Analysis

Anyone involved in operations, project management, business analysis, or management who needs an introduction to data analysis, would benefit from this class. Please note: Exercises in this course are not compatible with Excel in a web browser. Please make sure you have a version of Excel locally downloaded on your computer or access to Excel via Microsoft 365.

Professionals who may benefit include:

• Business Analyst, Business Systems Analyst, Staff Analyst
• Those interested in CBAP®, CCBA®®, or other business analysis certifications
• Systems, Operations Research, Marketing, and other Analysts
• Project Manager, Team Leads, Project Leads, Project Assistants, Project Coordinators
• Those interested in PMP®, CAPM®, or other project management certifications
• Program Managers, Portfolio Managers, Project Management Office (PMO) staff
• Data Modelers and Administrators, DBAs
• Technical & other Subject Matter Experts (SMEs)
• IT Staff, Manager, VPs
• Finance Staff, Manager
• Operations Analyst, Supervisor
• External and Internal Consultants
• Risk Managers, Operations Risk Professionals
• Operations Managers, Line Managers, Operations Staff
• Process Improvement, Compliance, Audit, & other Governance Staff
• Thought Leaders, Transformation & Change Champions, Change Manager
• Executives, Directors, & other senior staff exploring cost reduction and process improvement options
• Executive and Administrative Assistants and Coordinators
• Job seekers and those who want to show dedication to data analysis and process improvement
• Leaders at all levels who wish to increase their Data Analysis capabilities

• Learn the terms, jargon, and impact of business intelligence and data analytics.
• Gain knowledge of the scope and application of data analysis.
• Understand the impact of analytics on gaining competitive advantage and decision support.
• Explore ways to measure the performance of and improvement opportunities for business processes.
• Be able to describe the need for tracking and identifying the root causes of deviation or failure.
• Learn the basic principles, properties, and application of probability theory and the normal distribution.
• Introduction to different methods for summarizing information and presenting results including charts.
• Learn about statistical inference and drawing conclusions about the population.
• Learn about sample sizes and confidence intervals, and how they influence the accuracy of your analysis.
• Learn about forecasting, including introduction to simple linear regression analysis.
• Gain knowledge to interpret your results and draw sound and relevant conclusions on business.
• Explore different methods and algorithms for forecasting future results and to reduce current and future risk.
• Be awarded PMI® Approved PDU®s, IIBA® Approved CDU®s, or other continued education credits.
• Refresh your process improvement and analysis skills.
• Learn where powerful reference material exists and how to leverage to enhance your decision-making.

Day 1

• Introduction to Data Analysis and Analytics
• Application of Probability and Probability Distributions
• Introduction to Data Mining and Warehousing
• Describing Information Needs

 Day 2

• Data Exploration Concepts and Formulas
• Introduction to Risk Management
• Forecasting
• Review
• Additional Resources and Exercises