Managers and executives are surrounded by business data and its derivatives. However, determining what is relevant and making decisions based on the data presents numerous challenges. This course is designed to demystify the analytic process and to provide an analytics toolset to executives and managers so they can take their organization to the next level. Through a combination of interactive lectures, discussions, and hands-on activities, executives and managers will transform into sophisticated data consumers.

What You Will Learn

The first day of this course is focused on learning the foundation and basics of the analytic process. Through practice problem identification and framing, attendees will gain a high-level understanding of data acquisition, wrangling, and modeling, which will enable them to guide their team of analysts through the process.

The second day is dedicated to diving deeper into their understanding of analytic techniques and cognitive biases, which will guide them to reach the root of business problems, particularly when faced with complex data-driven analyses.

On the final day, attendees will learn about the various tools and techniques used for creating and interpreting data visualizations. They will also gain an understanding of the limitations of big data analysis and some of the ethical issues surrounding it.

Course Outline

This course will cover the following topics:

Day 1: Problem Framing and Analytics

  • Overview of the analytic process

  • Problem identification

  • Data acquisition

  • Data wrangling

  • Data mining

  • Data modeling

Day 2: Analytical Techniques and Cognitive Bias

  • Analytical techniques deep-dive

  • Cognitive bias in data analysis

  • Practical application and exercises

Day 3: Data Storytelling

  • Interpretation and visualization

  • Tools for storytelling

  • Analyzing data visualizations

  • Big data and cloud computing

  • Data ethics

Course Requirements

This course will not require attendees to have access to computers. However, attendees should bring something to take notes with (paper, laptop, iPad, etc.). Ideally, attendees would be organized in small group tables of no more than 5 to facilitate group activities.


Interested in having us teach this course at your organization?