Analytics
Analytics
Overview
Courses
Leading With Analytics: Foundations of Analytic Decision Making
Data analytics is key to long-term viability but requires more than technological investments alone. It demands leaders who can confidently build organizations that embrace and communicate through data. This course helps you emerge from the information overload and help your organization claim ownership of its data. Through in-depth case studies and interactive discussions, you'll learn tools and techniques that strategically capture, analyze, and apply data to decision-making.
Introduction to Analytics: Transforming Data into Insights
In today’s increasingly complex business world, critical decisions can become ‘shots in the dark’ unless informed by relevant data. However, applications and software produce an overwhelming abundance of data that can make it challenging to focus in on answers to critical questions. To effectively leverage data, organizations need to transform it into actionable information, yet many are struggling to do that. This course introduces a repeatable process you can use to ensure you’re getting the most out of your data. Over the three-day series, you’ll learn how to transform data into robust information to be leveraged in a variety of ways to support your success. You will have the opportunity to practice this process through hands-on exercises led by Penn State, reinforced by interactive discussions with peers, ensuring that the course learnings are practical and applicable to your business setting.
Applied Analytics: Essential Tools and Techniques
Understanding how to transform data into actionable insights is increasingly important at ALL levels of an organization, whether you are making everyday decisions or informing future strategic plans. However, many decision makers lack awareness of commonly used analytics tools and techniques that can base these decisions in information and data. This course introduces students to methods for applying descriptive (What happened?), predictive (What might happen?), and prescriptive (What should we make happen?) analytics techniques to various business and operational challenges. Over four half-days, students will practice combining business data, common software tools, and various modeling and analysis techniques to quickly gain insights about operational performance, predict future outcomes, and develop optimal courses of action for business problems that might otherwise have gone unnoticed or have been deemed too challenging to approach.
Introduction to Supply Chain Analytics
Supply chain optimization requires the ability to mine, process, and analyze data, but the tools and turnaround times are increasingly complex, demanding, and often overwhelming. Breakthrough the confusion by mastering the foundational theories, exploring the tools, and connecting data to organizational impact. This 'how to' course includes relevant case studies, interactive discussions and Excel-based exercises—all with the focus on improving supply chains through data analysis.
Supply Chain Security and Risk Management
Learn a practical process for achieving optimal decisions using established principles of intelligence analysis and risk assessment. Through examining models of supply chain security, you will recognize the advantage of producing intelligence as an analysis of data, geography, and business operating procedures.
Evolve from simply collecting data to unlocking its full potential. Data analytics challenges business-as-usual assumptions to reveal evidence-based strategies.
Outstanding instructors! Made all aspects of their topic clear, understandable, and relevant.
Student,Introduction to Analytics live remote course
Our Faculty Directors
This portfolio is designed by faculty directors from the Penn State Smeal College of Business. They are executive faculty whose world-class research and industry involvement has created significant change within the private and public sectors. They have applied their expertise to design Executive Programs that balance visionary strategies and actionable results.