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Renganathan Padmanabhan

The course will teach you how to organize your data and present it in a compelling narrative format to engage your stakeholders, such that they are able to understand the insights within the data and take action based on your recommendations.

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The course will teach you how to organize your data and present it in a compelling narrative format to engage your stakeholders, such that they are able to understand the insights within the data and take action based on your recommendations.

In this course, Fundamentals of Data Storytelling, you’ll learn how to transform the data that you manage into a compelling story, which engages your stakeholder audience so well that it prompts them to take immediate action, based on your narrative. First, you'll learn why presenting and communicating data insights without storytelling is an incomplete effort, and why storytelling changes the way people perceive data presented to them. Next, you'll discover how to get your audience interested in the data you would present, so that you are able to personalize the narrative based on your target audience. Following that, you'll understand the different storytelling approaches you can employ to your advantage to make your data engaging. Finally, you will learn how to structure your data presentation for a lasting impact, even after your speaking opportunity is complete. When you're finished with this course, you'll have the fundamental knowledge of storytelling in data.

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What's inside

Syllabus

Course Overview
Understanding Data and Analytics Terms: A Quick Primer
Why Do We Need Storytelling in the World of Data?
Understanding Different Approaches to Storytelling
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How to Prepare Your Data for Storytelling
Preparing a Lasting Impact for Data Storytelling

Good to know

Know what's good
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Teaches data storytelling skills, which are highly relevant to professionals in business and analytics
Engages learners through narrative storytelling
Delivers practical techniques for presenting data in a compelling way
Covers a range of storytelling approaches, providing learners with a comprehensive understanding
Introduces essential concepts of data storytelling, providing a strong foundation for beginners

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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 Fundamentals of Data Storytelling with these activities:
Learn the fundamentals of data storytelling
Review the basics of data storytelling to prepare for this course.
Browse courses on Data Storytelling
Show steps
  • Read an article or blog post on data storytelling.
  • Watch a video tutorial on data storytelling.
  • Take a free online course on data storytelling.
Follow a tutorial on creating a data story
Complete a guided tutorial to apply the principles of data storytelling.
Browse courses on Data Storytelling
Show steps
  • Choose a data set and a story to tell.
  • Follow the steps in the tutorial to create a data story.
  • Get feedback on your data story from a friend or colleague.
Attend a workshop on data storytelling
Attend a workshop on data storytelling to learn from experts and network with other professionals.
Browse courses on Data Storytelling
Show steps
  • Find a workshop on data storytelling that fits your interests.
  • Register for the workshop.
  • Attend the workshop and actively participate in the activities.
Four other activities
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Show all seven activities
Practice presenting data stories
Practice presenting data stories to improve your delivery and effectiveness.
Browse courses on Data Storytelling
Show steps
  • Prepare a short data story.
  • Practice presenting your data story to a friend or colleague.
  • Record yourself presenting your data story and review the recording.
Create a data story for a specific audience
Create a data story for a specific audience to apply the principles learned in the course.
Browse courses on Data Storytelling
Show steps
  • Identify your audience and their needs.
  • Choose a data set and a story to tell.
  • Create a data story that is clear, concise, and engaging.
  • Present your data story to your audience.
Start a project to apply the principles of data storytelling
Start a project to apply the principles of data storytelling and showcase your skills.
Browse courses on Data Storytelling
Show steps
  • Identify a problem or opportunity that you can solve using data storytelling.
  • Gather the data you need to tell your story.
  • Create a data story that is clear, concise, and engaging.
  • Present your data story to your stakeholders.
Participate in a data storytelling competition
Participate in a data storytelling competition to challenge yourself and showcase your skills.
Browse courses on Data Storytelling
Show steps
  • Find a data storytelling competition that fits your interests.
  • Develop a data story that meets the competition requirements.
  • Submit your data story to the competition.

Career center

Learners who complete Fundamentals of Data Storytelling will develop knowledge and skills that may be useful to these careers:
Data Scientist
A Data Scientist is responsible for collecting, analyzing, and interpreting data to extract meaningful insights. They use these insights to solve business problems and make informed decisions. The course, Fundamentals of Data Storytelling, can help you develop the skills needed to effectively communicate your findings to stakeholders, which is essential for success in this role.
Data Analyst
A Data Analyst is responsible for collecting, cleaning, and analyzing data to identify trends and patterns. They use these insights to help businesses make better decisions. The course, Fundamentals of Data Storytelling, can help you develop the skills needed to present your findings in a clear and concise way, which is essential for success in this role.
Business Analyst
A Business Analyst is responsible for analyzing business processes and identifying areas for improvement. They use data to support their recommendations and help businesses make better decisions. The course, Fundamentals of Data Storytelling, can help you develop the skills needed to communicate your findings to stakeholders in a way that is clear and persuasive, which is essential for success in this role.
Market Researcher
A Market Researcher is responsible for collecting and analyzing data about markets and customers. They use this information to help businesses develop new products and services and make better marketing decisions. The course, Fundamentals of Data Storytelling, can help you develop the skills needed to present your findings in a way that is clear and persuasive, which is essential for success in this role.
Product Manager
A Product Manager is responsible for developing and managing the lifecycle of a product. They work with engineers, designers, and marketers to bring products to market and ensure that they meet customer needs. The course, Fundamentals of Data Storytelling, can help you develop the skills needed to communicate your product vision and roadmap to stakeholders, which is essential for success in this role.
Consultant
A Consultant provides advice and guidance to businesses on a variety of topics. They use data to support their recommendations and help businesses make better decisions. The course, Fundamentals of Data Storytelling, can help you develop the skills needed to communicate your findings in a clear and persuasive way, which is essential for success in this role.
Financial Analyst
A Financial Analyst is responsible for analyzing financial data and making recommendations on investments. They use data to identify trends and patterns and help investors make informed decisions. The course, Fundamentals of Data Storytelling, can help you develop the skills needed to communicate your findings in a clear and concise way, which is essential for success in this role.
Marketing Manager
A Marketing Manager is responsible for developing and executing marketing campaigns. They use data to track the effectiveness of their campaigns and make adjustments as needed. The course, Fundamentals of Data Storytelling, can help you develop the skills needed to communicate your campaign results to stakeholders in a way that is clear and persuasive, which is essential for success in this role.
Sales Manager
A Sales Manager is responsible for leading and motivating a sales team. They use data to track the performance of their team and make adjustments as needed. The course, Fundamentals of Data Storytelling, can help you develop the skills needed to communicate your sales goals and strategies to your team in a way that is clear and motivating, which is essential for success in this role.
Customer Success Manager
A Customer Success Manager is responsible for ensuring that customers are satisfied with a company's products or services. They use data to track customer satisfaction and identify areas for improvement. The course, Fundamentals of Data Storytelling, can help you develop the skills needed to communicate your findings to customers in a way that is clear and persuasive, which is essential for success in this role.
Operations Manager
An Operations Manager is responsible for the day-to-day operations of a business. They use data to track the efficiency of their operations and make improvements as needed. The course, Fundamentals of Data Storytelling, can help you develop the skills needed to communicate your findings to stakeholders in a way that is clear and persuasive, which is essential for success in this role.
Human Resources Manager
A Human Resources Manager is responsible for the human resources function of a business. They use data to track employee performance and identify areas for improvement. The course, Fundamentals of Data Storytelling, can help you develop the skills needed to communicate your findings to stakeholders in a way that is clear and persuasive, which is essential for success in this role.
Project Manager
A Project Manager is responsible for planning, executing, and closing projects. They use data to track the progress of their projects and make adjustments as needed. The course, Fundamentals of Data Storytelling, can help you develop the skills needed to communicate your project plans and progress to stakeholders in a way that is clear and persuasive, which is essential for success in this role.
Software Engineer
A Software Engineer is responsible for designing, developing, and maintaining software applications. They use data to test and debug their applications and make improvements as needed. The course, Fundamentals of Data Storytelling, may help you develop the skills needed to communicate your technical findings to stakeholders in a way that is clear and persuasive, which is helpful for success in this role.
Data Engineer
A Data Engineer is responsible for designing, building, and maintaining data pipelines. They use data to ensure that data is accurate and reliable and that it is available to users in a timely manner. The course, Fundamentals of Data Storytelling, may help you develop the skills needed to communicate your technical findings to stakeholders in a way that is clear and persuasive, which is helpful for success in this role.

Reading list

We've selected 13 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 Fundamentals of Data Storytelling.
A practical guide to visualizing and communicating data effectively. It great resource for anyone who wants to learn how to create compelling data visualizations.
A book that teaches you how to distill your data into a story that can drive action. It valuable resource for anyone who wants to learn how to use data to make a difference.
A classic work on data visualization, covering the principles of effective visual communication. It must-read for anyone who wants to learn how to create clear and concise data visualizations.
A book that explores the power of storytelling in business. It valuable resource for anyone who wants to learn how to use stories to communicate data insights effectively.
A book that provides a comprehensive overview of data visualization. It great resource for anyone who wants to learn more about the field of data visualization and how to use it effectively.
Provides a comprehensive overview of data visualization. It covers a wide range of topics, from data collection and analysis to presentation and visualization.
Provides a comprehensive overview of the principles of information visualization. It covers a wide range of topics, from the perception of visual information to the design and evaluation of information visualizations.
A book that provides a clear and concise introduction to statistics. It great resource for anyone who wants to learn more about the basics of statistics.
Provides a comprehensive overview of data visualization. It covers a wide range of topics, from data collection and analysis to presentation and visualization.
A book that provides a comprehensive overview of Python for data analysis. It great resource for anyone who wants to learn more about the field of data science.
A book that provides a comprehensive overview of R for data science. It great resource for anyone who wants to learn more about the field of data science.

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