About
A free chapter of this course can be found on the home page. In today's data-driven world, the ability to present complex data to executives in a clear, concise, and impactful manner is a critical skill. Our "Presenting Data to Executives" course is designed to equip AI engineers, HR professionals, and corporate leaders with the tools and techniques needed to transform raw data into compelling narratives that drive decision-making at the highest levels. This course delves into the art and science of data storytelling, focusing on the unique needs and expectations of executive audiences. Participants will learn how to distill vast amounts of information into key insights, use data visualization tools effectively, and craft presentations that resonate with the C-suite. Key topics: The Data-Presenters Cycle: Learn the steps that every data presentation goes through including defining the use case, data collection, identifying stakeholders, crafting a compelling story, handling executive Q&A, managing the follow-up, and addressing ethical constraints. You will also learn the most popular data methods from regression to PCA and sentiment analysis. Best Practices for Analysis: understand executive priorities and decision-making processes. This includes learning how to simplify complex data without losing its essence through powerful data visualization techniques, exploratory processes, and evaluation methods to ensure outliers and errors are detected. This includes the steps for maximizing slide content and ensuring that executives remember the details. By the end of this course, participants will have the confidence and skills to present data in a way that not only informs but also inspires action. Whether you are preparing for a board meeting, pitching a new project, or reporting on performance metrics, this course will help you make your data presentations more effective and influential. Join us and transform the way you communicate data to your leaders.
You can also join this program via the mobile app. Go to the app
Overview
Where do we begin?
.2 steps

