Business Knowledge Series course
Presented by Howard S. Friedman, Ph.D., Professor, Columbia University, and Partner, DataMed Solutions LLC; or Paul W. Thurman, DBA, Professor, Columbia University
This course helps students learn how basic statistical techniques can be used to better inform strategic business and decision-making challenges. The focus of the course is to learn the key tools and tactics of a corporate strategist/strategic planner. However, woven into the course are key analytics, powered by SAS, that can enable strategists to be more data driven and objective in terms of options, pros/cons, recommendations, and contingency plans.
Learn how to
- Develop and/or assess large-scale projects or corporate strategies in terms of mission and vision statements (conceptual strategy) using data analysis to validate key focal points.
- Conduct macro- and micro-market analyses of competitors, suppliers, customers, and other key players using statistical methods (analytical strategy).
- Implement metrics and scorecards, while validating them with robust analytical tools, to support ongoing growth (operational strategy).
Who should attend
Business managers with a basic statistical background (MBA is sufficient), as well as data analysts and statisticians who aspire to higher-level strategic planning positions, including those involving more significant investment/business decision-making, project planning, and large-scale program development and implementation
Formats available | Standard Duration (duration can vary, see event schedule for details) | | |
Classroom: |
2.0 days | | |
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Before attending this course, you should have completed or have the equivalent working experience the of Statistics 1: Introduction to ANOVA, Regression, and Logistic Regression course.
This course addresses Base SAS, SAS/STAT software.
