This three day course uses straightforward business examples to help participants gain a thorough understanding of how to review, understand and analyze data, and make more informed, intelligent business decisions by analyzing data using Excel functions and the R programming language. The course provides an overview of data quality and data management, foundational analysis and statistical techniques. The course discusses how to communicate about data and findings to stakeholder who need to quickly make decisions that drive the organization forward.
Overview
What You'll Learn
- Identify opportunities, manage change and develop deep visibility into the 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 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 data
- Differentiate between ‘signal’ and ‘noise’ in 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
Curriculum
Who should attend
The course is highly recommended for –
- Business Analysts
- Business Systems Analyst
- CBAPs
- CCBAs
- Systems, Operations Research, Marketing, and other Analysts
- Project Managers
- Program Managers
- Team Leaders
- PMP and CAPM certified professionals
- Data Modelers and Administrators, DBAs
- IT Managers, Directors, VPs
- Finance Managers, Directors, VPs
- Operations Supervisors, Managers, Directors, VPs
- Risk Managers, Operations Risk Professionals
- Process Improvement, Audit, Internal Consultants and professionals
- Executives exploring cost reduction and process improvement options
- Job seekers and those who want to show dedication to process improvement
- Senior professionals who make or recommend decisions to executives
