Data Driven Leadership - Curriculum

This three day program will be organized into three primary sections:

Understanding Data (Big and Small)

You begin by gaining a high-level understanding of the world of data. We will look at the history of data production and consumption, and learn how it has evolved over time.

Topics covered include:

  • Introduction to Data Science
  • Understand Data Landscape
  • Data Life Cycle
  • Data Maturity Model

Data Life Cycle (From Collection to Operation)

In our second section, you will learn how to make decisions using sound data analysis practices. Leveraging basic statistical principles and understanding the tools used to manipulate data, we will approach a real-world case study that will involve improved operational efficiencies.  

Topics covered include:

  • Hypothesis and Problem Statement
  • Data Collection and Wrangling
  • Exploratory Analysis
  • Statistics and Model Creation

Visualization, Communication, and Governance

During our final section you will begin recognizing how to tell a compelling story with data, considerate of ethical and privacy concerns associated with data usage.  We will uncover insights to develop a narrative that will ultimately help the audience make better decisions, understand implications, and bring about positive organizational change.  We will conclude the day with a roundtable of executives from multiple industries and various functional areas who will give perspectives on their journeys and share the “do’s & don’ts” of bringing data science into their organizations.

Specific topics covered include:

  • Operationalization Model
  • Visualization and Communication
  • Privacy and Ethics
  • Introducing Data Science into Your Organization

Key Takeaways

  • Understand the Key Trends in Data Science
  • Recognize how Data Science is Influencing Business – Now and in the Future
  • Leverage Data for Better Decisions
  • Manage Data and Analytics Projects with Confidence and Authority
  • Institute Data-driven Decision-making
  • Transition to a Data-driven Enterprise