Data Analysis Boot Camp

This three-day course, organized into key topic areas, leverages straightforward business examples to explain practical techniques for understanding and reviewing data quality. You will learn how to make more informed, intelligent business decisions by analyzing data using Excel functions and the R programming language.

You will get an overview of data quality and data management, followed by foundational analysis and statistical techniques. Throughout the course, you will learn to communicate about data and findings to stakeholders who need to quickly make decisions that drive your organization forward.

This data analyst training class is a lively blend of expert instruction combined with hands-on exercises so you can practice new skills. Leave prepared to start performing practical analysis techniques the moment you return to work. Through a combination of demonstrations and hands-on practice, you will learn to use data analysis techniques, which are typically the domain of expensive consultants.

Labs for this course are primarily in Microsoft Excel, however, students will get an opportunity to practice using R in some labs.

• Identify opportunities, manage change and develop deep visibility into your organization
• Understand the terminology and jargon of analytics, business intelligence, and statistics
• Learn a wealth of practical applications for applying data analysis capability
• Visualize both data and the results of your analysis for straightforward graphical presentation to stakeholders
• Learn to estimate more accurately than ever, while accounting for variance, error, and Confidence Intervals
• Practice creating a valuable array of plots and charts to reveal hidden trends and patterns in your data
• Differentiate between "signal" and "noise" in your data
• Understand and leverage different distribution models, and how each applies in the real world
• Form and test hypotheses use multiple methods to define and interpret useful predictions
• Learn about statistical inference and drawing conclusions about the population

If you have basic familiarity with Excel, this three-day course can teach you practical applied analysis techniques to leverage data for relatively common decision-making methods.

Additionally, although it is not mandatory, students who have completed the self-paced Introduction to R eLearning course have found it very helpful when completing this course.

• Business Analyst, Business Systems Analyst, CBAP, CCBA
• Systems, Operations Research, Marketing, and other Analysts
• Project Manager, Program Manager, Team Leader, PMP, CAPM
• Data Modelers and Administrators, DBAs
• IT Manager, Director, VP
• Finance Manager, Director, VP
• Operations Supervisor, Manager, Director, VP
• Risk Managers, Operations Risk Professionals
• Process Improvement, Audit, Internal Consultants and Staff
• Executives exploring cost reduction and process improvement options
• Job seekers and those who want to show dedication to process improvement
• Senior staff who make or recommend decisions to executives