VOOZH about

URL: https://www.coursera.org/learn/google-develop-presentations-and-slideshows

⇱ Develop Presentations and Slideshows | Coursera


Develop Presentations and Slideshows

Ends soon! Keep adding new skills with 10,000+ programs for $239 (usually $399). Save now.

Develop Presentations and Slideshows

2,063 already enrolled

Included with

β€’

Learn more

Ask Coursera

Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

4 hours to complete
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
Beginner level

Recommended experience

4 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Explain principles and practices associated with effective presentations.

  • Describe how junior data analysts are expected to use their presentation skills.

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

6 assignments

Taught in English

Build your subject-matter expertise

This course is part of the Google Data-Driven Decision Making Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 4 modules in this course

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.

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, 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

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 β€œDevelop Presentations and Slideshows”‒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

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.

Instructor

Google
386 Coursesβ€’17,045,846 learners

Explore more from Data Analysis

Why people choose Coursera for their career

πŸ‘ Image

Felipe M.

Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
πŸ‘ Image

Jennifer J.

Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
πŸ‘ Image

Larry W.

Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
πŸ‘ Image

Chaitanya A.

"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

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.

We highly recommend taking the courses in the order presented, as the content builds on information from earlier courses. This is the eighth course in a series of nine courses that make up the Google Data-Driven Decision Making Specialization.

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

Financial aid available,