Data Analytics for Managerial Decision-Making

Asper School of Business

How long?

  • 2 days
  • online

What are the topics?

Asper School of Business

Disclaimer

Coursalytics is an independent platform to find, compare, and book executive courses. Coursalytics is not endorsed by, sponsored by, or otherwise affiliated with any business school or university.

Full disclaimer.

Who should attend

This introductory level course is ideal for middle and upper managers, analysts, project leaders and others in a non-technical field who would like to gain an overview of the concepts and capabilities of business analytics.

About the course

You will learn analytics best practices used by the world’s top companies to develop opportunities for innovation and growth. You will also gain hands-on experience working with Excel tools for obtaining analytics-based solutions. Through this program, you will:

  • Learn what analytics is, how it is applied across diverse industries, and how it can be applied to your own organization
  • Discover how analytics can generate new business insights and opportunities
  • Learn how analytics can mitigate risk, uncertainty and process variability
  • Identify challenges in developing analytics strategies
  • Experience how spreadsheet models can help solve challenging decisions

Through interactive discussion and hands-on exercises, this program will cover:

  • Descriptive analytics: understanding what data to collect and what it is telling you, data visualization techniques to envision important factors and relationships, quantifying your data, data variability, dealing with limited data
  • Predictive analytics: foreseeing what is likely to occur based on what has happened in the past, mining your data to predict customer demand and preferences, strategies and tactics for deploying predictive analytics initiatives
  • Prescriptive analytics: understanding your data to make better decisions, “what if” scenario analysis, minimizing pitfalls such as process variability and the “flaw of averages”, outcome optimization
  • Best-in-practice analytics methods: analytics best practices, implementation challenges, getting started with analytics methods that can be applied to your organization

Experts

Tim Huh

Tim Huh is a full professor in the Sauder School of Business at the University of British Columbia. His current research interests include operations management, inventory control, supply chain management and dynamic pricing. He has worked with companies in the semiconductor industries, health c...

Data Analytics for Managerial Decision-Making at Asper School of Business

From  1995 CAD$1,539

Something went wrong. We're trying to fix this error.

Thank you for your application

We will contact the provider to ensure that seats are available and, if there is an admissions process, that you satisfy any requirements or prerequisites.

We may ask you for additional information.

To finalize your enrollment we will be in touch shortly.

Disclaimer

Coursalytics is an independent platform to find, compare, and book executive courses. Coursalytics is not endorsed by, sponsored by, or otherwise affiliated with any business school or university.

Full disclaimer.

Because of COVID-19, many providers are cancelling or postponing in-person programs or providing online participation options.

We are happy to help you find a suitable online alternative.