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The Power of Storytelling

How to Visualize Data in the Cloud

Google Cloud Training

You’re over halfway through the program! This is the fourth course of the Google Cloud Data Analytics Certificate. Level up your data visualization skills by unlocking the secrets of transforming flat data into captivating stories that leap from the screen and onto the agenda of your key stakeholders. Happy learning!

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What's inside

Syllabus

Introduction to the power of storytelling: How to visualize data in the cloud

Upgrade from data cruncher to data storyteller! In this module, you'll transform raw numbers into eye-catching visualizations that speak volumes. You'll cover powerful design principles to help you communicate your insights with style, making data irresistible to your audience.

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Read about what's good

what should give you pause

and possible dealbreakers

Geared toward learners who have prior experience with data crunching

Lays the foundation for intermediate-to-advanced learners who aim for deep expertise in data visualization

Taught by Google Cloud Training, who are recognized for their work in data analytics

Develops professional skills in data visualization and storytelling

Covers core skills for enterprise data analytics, including data governance and self-serve analytics

Provides hands-on experience with a massive dataset and the creation of a real-world dashboard, preparing learners for high-stakes challenges

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Reviews summary

Practical data storytelling with google cloud

According to learners, this course provides a strong foundation (positive) in data storytelling and visualization (positive), particularly within the Google Cloud environment (neutral). Many found the content highly practical (positive) and directly applicable to their professional roles, with a strong emphasis on deriving actionable insights (positive). The course introduces critical tools like Looker Studio and LookML (neutral), which students generally found valuable despite a potential steep learning curve (warning) for the latter. While the lectures are clear and well-structured (positive), some mention the importance of prior experience with SQL and cloud concepts (warning) to fully grasp the material. Overall, it's a highly recommended (positive) course for those looking to elevate their data communication skills in a professional setting.

Well-structured modules and clear explanations from the instructors.

"The instructors clearly explained complex data storytelling principles, making them easy to digest."

"Each module flowed logically, building my knowledge from visualization planning to enterprise analytics."

"I found the course content well-organized and the explanations thorough, which aided my learning significantly."

Engaging and effective practical exercises reinforce learning.

"The hands-on labs were fantastic for applying the concepts; I truly learned by doing."

"I loved the practical exercises that made data visualization in the cloud tangible and less abstract."

"The opportunity to wrangle a massive dataset and build a real-world dashboard was incredibly helpful."

Valuable hands-on exposure to LookML, BigQuery, and Looker Studio.

"The LookML module, though challenging, provided a crucial understanding for modern data environments."

"I appreciated the hands-on practice connecting datasets in BigQuery and crafting dashboards in Looker Studio."

"Working with LookML was a game-changer for my career, giving me a solid foundation in the developer environment."

Directly applicable skills for professional data analysis roles.

"This course helped me transform raw data into compelling narratives that truly resonate with stakeholders in my work."

"I found the techniques for making data irresistible and actionable immediately useful in my daily tasks."

"The focus on delivering insights that impact business decisions is incredibly valuable; I can apply it now."

Beneficial with prior SQL and cloud experience; pacing may be fast.

"Some sections felt quite fast-paced; I recommend having a basic understanding of SQL beforehand."

"While comprehensive, learners new to the cloud might find parts of the course slightly overwhelming."

"I struggled a bit with the technical aspects without prior Google Cloud experience, but managed to catch up."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in The Power of Storytelling: How to Visualize Data in the Cloud with these activities:

Participate in Data Visualization and Storytelling Discussions

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Engage in discussions and share knowledge with peers, gaining diverse perspectives and refining your understanding of data visualization and storytelling techniques.

Browse courses on Data Storytelling

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Join online forums or discussion groups dedicated to data visualization and storytelling.
Actively participate in discussions, sharing your insights and experiences.
Learn from others' perspectives and experiences.

Practice Data Visualization Patterns and Techniques

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Engage in regular practice of data visualization techniques to refine your skills and enhance your ability to create compelling visualizations.

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Apply the techniques in exercises using visualization tools or platforms.
Review the provided exercises and tutorials.
Seek feedback from peers or mentors to refine your designs.

Explore Data Analysis and Visualization Best Practices

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Seek out and engage with tutorials and resources that cover best practices and strategies for data analysis and visualization, expanding your knowledge and refining your techniques.

Browse courses on Data Visualization Best Practices

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Identify reputable sources for tutorials and articles on data analysis and visualization.
Review and follow the tutorials, implementing the techniques in your own visualizations.
Share your visualizations with mentors or peers for review and constructive criticism.

Two other activities

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Develop a Visualization Dashboard for a Business Scenario

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Create a visualization dashboard that addresses a real-world business scenario, honing your ability to translate data into actionable insights and communicate them effectively.

Browse courses on Dashboard Creation

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Identify a specific business scenario or problem.
Gather and analyze relevant data.
Design and create visualization dashboards using tools or platforms.
Present your dashboard to peers or mentors for feedback and critique.

Develop a Data Visualization Case Study

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Create a data visualization case study that showcases your ability to solve a real-world problem using data visualization techniques and storytelling, solidifying your knowledge and demonstrating your skills.

Browse courses on Data-Driven Storytelling

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Identify a specific business or industry challenge.
Gather and analyze relevant data.
Develop data visualizations to communicate insights.
Write a case study report that includes your approach, findings, and recommendations.
Share your case study with your mentor, peers, or a broader audience.

Career center

Learners who complete The Power of Storytelling: How to Visualize Data in the Cloud will develop knowledge and skills that may be useful to these careers:

Reading list

We've selected 50 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in The Power of Storytelling: How to Visualize Data in the Cloud.

Storytelling with Data

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A comprehensive guide to data storytelling, covering everything from data visualization to storytelling techniques. must-read for anyone who wants to learn how to use data to tell compelling stories.

The Power of Storytelling

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What's inside

Syllabus

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Reviews summary

Practical data storytelling with google cloud

Activities

Career center

Reading list

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