In this course, you’ll discover how to give an effective presentation about your data analysis. The course will teach you how to construct insightful presentations that resonate with your audience. You'll learn to anticipate and address potential questions and to articulate the limitations of your data, ensuring a robust and credible narrative for your stakeholders.



Develop Presentations and Slideshows
This course is part of Google Data-Driven Decision Making Specialization

Instructor: Google Career Certificates
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Recommended experience
What you'll learn
Explain principles and practices associated with effective presentations.
Describe how junior data analysts are expected to use their presentation skills.
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September 2025
6 assignments
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There are 4 modules in this course
In this module, you’ll discover how to give an effective presentation about your data analysis and view some examples related to it. The module will provide details on how to present with a framework and demonstrate how to weave data into your presentation. The module will provide a step-by-step guide on crtiqueing a presentation.
What's included
6 videos3 readings
This module teaches you to construct insightful presentations that resonate with your audience. It provides a guide on how to share data findings in presentations and proven presentation tips on evaluating your presentations like a pro.
What's included
2 videos2 readings2 assignments
In this module, you will prepare for the Q&A. You will learn to anticipate and address potential questions and to articulate the limitations of your data, ensuring a robust and credible narrative for your stakeholders.
What's included
2 videos1 reading2 assignments
In this module, you will acquire best practices on Q&A.
What's included
2 videos2 assignments
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Frequently asked questions
Data is a group of facts that can take many different forms, such as numbers, pictures, words, videos, observations, and more. We use and create data everyday, like when we stream a show or song or post on social media.
Data analytics is the collection, transformation, and organization of these facts to draw conclusions, make predictions, and drive informed decision-making.
No prior experience with spreadsheets or data analytics is required. All you need is high-school level math and a curiosity about how things work.
You don't need to be a math all-star to succeed in this certificate. You need to be curious and open to learning with numbers (the language of data analysts). Being a strong data analyst is more than just math, it's about asking the right questions, finding the best sources to answer your questions effectively, and illustrating your findings clearly in visualizations.
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