In this course, you will learn to use data analytics to create actionable recommendations, as well as identify and manage opportunities where data-based decisions can be used to change the way you do business. Data Analysis is an ever-evolving discipline with lots of focus on new predictive modelling techniques coupled with rich analytical tools that keep increasing our capacity to handle big data. However, in order to chart a coherent path forward, it is necessary to understand where the discipline has come from since its inception.

• Learn the terms, jargon, and impact of business intelligence and data analytic
• Gain knowledge of the scope and application of data analysis.
• 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.

• Review the basic principles, properties, and application of Probability Theory.
• Discuss data distribution including Central Tendency, Variance, Normal Distribution, and non-normal distributions.

Anyone involved in operations, project management, business analysis, or management who needs an introduction to Data Analysis, would benefit from this class:
• 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