Develop Presentations and Slideshows
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Develop Presentations and Slideshows
This course is part of Google Data-Driven Decision Making Specialization
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What you'll learn
Explain principles and practices associated with effective presentations.
Describe how junior data analysts are expected to use their presentation skills.
Skills you'll gain
Details to know
6 assignments
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There are 4 modules in this course
In this course, youβll 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.
By the end of this course, you will be able to: - 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
In this module, youβll 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
6 videosβ’Total 39 minutes
- Pull it all togetherβ’1 minute
- Present with a framework β’6 minutes
- Weave data into your presentationβ’8 minutes
- Brittany: Presentation skills for new data analystsβ’3 minutes
- Connor: Messy example of a data presentationβ’5 minutes
- Connor: Good example of a data presentationβ’16 minutes
3 readingsβ’Total 13 minutes
- Welcome to βDevelop Presentations and Slideshowsββ’1 minute
- Review a slide presentationβ’8 minutes
- Step-by-Step: Critique of a presentationβ’4 minutes
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
2 videosβ’Total 10 minutes
- Proven presentation tipsβ’5 minutes
- Present like a proβ’5 minutes
2 readingsβ’Total 16 minutes
- Guide: Share data findings in presentations β’8 minutes
- Evaluate your presentationβ’8 minutes
2 assignmentsβ’Total 28 minutes
- Self-Reflection: Examples of great presentationsβ’20 minutes
- Test your knowledge on presentation skills and practices β’8 minutes
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
2 videosβ’Total 10 minutes
- Anticipate the questionβ’6 minutes
- Handle objectionsβ’4 minutes
1 readingβ’Total 10 minutes
- Prepare for the Q&Aβ’10 minutes
2 assignmentsβ’Total 28 minutes
- Self-Reflection: Practice handling objections β’20 minutes
- Test your knowledge on caveats and limitations to dataβ’8 minutes
In this module, you will acquire best practices on Q&A.
What's included
2 videos2 assignments
2 videosβ’Total 9 minutes
- Q&A best practicesβ’5 minutes
- Connor: Becoming an expert data translatorβ’3 minutes
2 assignmentsβ’Total 48 minutes
- Test your knowledge on listening, responding, and includingβ’8 minutes
- Course 8 challenge: Develop presentations and slideshowsβ’40 minutes
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Why people choose Coursera for their career
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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