In this part of the course, you’ll discover how to give an effective presentation about your data analysis. You’ll consider all aspects of your analysis when creating the presentation, as well as how to create clear, accessible, and convincing data visualizations. In addition, you’ll learn how to anticipate and respond to potential limitations and questions that may arise.

• Describe best practices for addressing the question-and-answer section of a presentation
• Consider the caveats and limitations associated with the data in a presentation
• Differentiate between strong and weak presentation content
• Describe how junior data analysts are expected to use their presentation skills
• Explain principles and practices associated with effective presentations
• Identify appropriate responses to presentation objections

The art and science of an effective presentation

The framework of your presentation starts with your understanding of the business task

To make your data findings accessible to your audience, you'll need a framework to guide your presentation.

Next, you'll want to establish the initial hypothesis. Your initial hypothesis is a theory you're trying to prove or disprove with data.

You want to establish your hypothesis early in the presentation. That way, when you present your data, your audience has the right context to put it in.

Present the possible business impact of the solution and clear actions stakeholders can take

The McCandless Method

1. Introduce the graphic by name
2. Answer obvious questions before they're asked
3. State the insight of your graphic
4. Call out data to support that insight
5. Tell your audience why it matters