Data Storytelling (Coursera)

Offered by Fractal Analytics,
Data Storytelling (Coursera)

In today's data-driven world, the ability to transform complex information into compelling narratives is essential. This course equips you with the principles and techniques of storytelling, coupled with data visualization skills, to craft captivating stories that engage and influence diverse audiences.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

Through hands-on exercises and real-world case studies, you will learn to distill intricate data into clear and concise narratives, enabling you to drive organizational impact and make informed decisions. Data storytelling bridges the gap between data analysis and human interpretation, enhancing communication, transparency, and decision-making.
Enroll in this course to unlock the transformative power of data narratives and become a proficient data storyteller.
This course welcomes everyone with a desire to unlock the power of data storytelling! Whether you're a business professional navigating the world of data analysis, a student embarking on your data journey, or a marketer looking to make your presentations soar, this beginner-friendly course lays the foundation for effective data communication.
Technical expertise? Not required! While the course doesn't teach specific visualization tools like Tableau or Power BI, it rather shares knowledge about storytelling principles that breathe life into visualizations and analyses. For those already well-versed in technical skills, this course acts as a bridge, transforming your data and charts into a captivating narrative that resonates with any audience.
For non-technical learners, this journey equips you to contribute confidently to data-driven projects and understand what goes behind impactful presentations. You'll discover how to frame your data as a compelling story, ensuring your voice is heard clearly and your insights take center stage.
This course is part of the Fractal Data Science Professional Certificate.

What you'll learn

  • Explain the importance of Data Storytelling in communicating insights and facilitating decision making
  • Apply various visualization techniques to create a compelling data story
  • Apply various techniques to craft a compelling narrative for a data story
  • Create a captivating data story by integrating relevant data, clear visualization and a compelling narrative

Syllabus

Introduction to Data Storytelling
Welcome to the Data Storytelling module! In this module, you will explore the relevance and potential of data storytelling in the present and future. You will delve into the uses of data storytelling today and how it can impact decision-making processes. Through engaging videos and insightful readings, you will gain a comprehensive understanding of the significance of data storytelling and its critical role in effective decision-making. Get ready to unlock the potential of data and harness it to drive impactful narratives and informed choices.

Role of Data in Data Storytelling
Understanding the importance of relevant data in data storytelling, learners gain the ability to effectively identify the relevance of their data and make informed decisions. They learn to assess their data sources critically, considering factors such as credibility, accuracy, and timeliness. By aligning their data with the narrative they aim to convey, learners ensure that their storytelling is well-supported and impactful. However, if they find that their data is not relevant for the data story, learners are equipped with strategies to address this challenge. They explore alternative data sources, conduct further research, or adapt their storytelling approach to better align with the available data. Through this process, learners develop the skills to create compelling data stories that are backed by credible and pertinent information, enabling them to effectively engage and inform their audience.

Visualization and Data Storytelling
Visualization plays a vital role in data storytelling, enabling learners to effectively communicate complex information in a visually compelling manner. In this module, learners delve into various techniques and tools that empower them to transform raw data into engaging visual narratives. They gain an understanding of different visualization types, such as charts, graphs, and infographics, and learn how to select the most appropriate format to convey specific messages. Learns will develop deep understanding of common design principles that must be applied on data visualizations, use of color in data visualizations and techniques to reduce cognitive load in data visualizations. They will learn an interesting concept of adding interactivity in data visualizations through various examples and techniques. The module equips learners with the knowledge and expertise to leverage visualization as a powerful storytelling tool, enabling them to present data-driven narratives with impact and clarity.

Narrative in Data Storytelling
In this module, learners would dive into the topic of narrative and its significance in crafting compelling data-driven stories. They would explore the fundamental elements of storytelling, including plot, characters, conflict, and resolution, and understand how to apply these principles to data narratives. Learners would learn how to structure their stories effectively, creating a clear beginning, middle, and end that engage and captivate their audience. They would also delve into techniques for incorporating data seamlessly into narratives, using it as evidence to support key points and enhance the overall story. Finally, learns will understand how to tell a data story upholding the ethical standards and what would that mean in a real-life scenario. Through multiple real-life examples and applications, learners will develop a deep understanding of the role of narrative in data storytelling and how to craft a compelling narrative.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Healthcare Information Design and Visualizations (Coursera) Coursera
Northeastern University

Healthcare Information Design and Visualizations (Coursera)

Introduces processes and design principles for creating meaningful displays of information that support effective business decision-making. Studies how to collect and process data; create visualizations (both static and interactive); and use them to provide insight into a problem, situation, or opportunity. Introduces methods to critique visualizations along with ways to answer the elusive question: “What makes a visualization effective?”

Oct 5th 2026
4 Weeks
Exploratory Data Analysis with MATLAB (Coursera) Coursera
MathWorks

Exploratory Data Analysis with MATLAB (Coursera)

In this course, you will learn to think like a data scientist and ask questions of your data. You will use interactive features in MATLAB to extract subsets of data and to compute statistics on groups of related data. You will learn to use MATLAB to automatically generate code so you can learn syntax as you explore. You will also use interactive documents, called live scripts, to capture the steps of your analysis, communicate the results, and provide interactive controls allowing others to experiment by selecting groups of data.

Sep 21st 2026
5-12 Weeks
Data Visualization with Tableau Project (Coursera) Coursera
University of California, Davis

Data Visualization with Tableau Project (Coursera)

In this project-based course, you will follow your own interests to create a portfolio worthy single-frame viz or multi-frame data story that will be shared on Tableau Public. You will use all the skills taught in this Specialization to complete this project step-by-step, with guidance from your instructors along the way.

Oct 5th 2026
5-12 Weeks
Empathy, Data, and Risk (Coursera) Coursera
University of Illinois at Urbana-Champaign

Empathy, Data, and Risk (Coursera)

Risk Management and Innovation develops your ability to conduct empathy-driven and data-driven analysis in the domain of risk management. This course introduces empathy as a professional competency. It explains the psychological processes that inhibit empathy-building and the processes that determine how organizational stakeholders respond to risk.

Sep 28th 2026
4 Weeks
Building Data Visualization Tools (Coursera) Coursera
Johns Hopkins University

Building Data Visualization Tools (Coursera)

The data science revolution has produced reams of new data from a wide variety of new sources. These new datasets are being used to answer new questions in way never before conceived. Visualization remains one of the most powerful ways draw conclusions from data, but the influx of new data types requires the development of new visualization techniques and building blocks. This course provides you with the skills for creating those new visualization building blocks.

Sep 21st 2026
4 Weeks
Use Tableau for your Data Science Workflow (Coursera) Coursera
Edureka

Use Tableau for your Data Science Workflow (Coursera)

Learn Tableau fundamentals, advanced visualizations, and integration with data science tools. Elevate your skills in creating impactful dashboards. Enroll now for hands-on experience and master the art of data storytelling. Unlock the potential for advanced analytics, exploring correlations and trends within your data. Build interactive dashboards that tell compelling data stories, utilizing filters, parameters, and actions for user engagement.

Oct 5th 2026
1 Week
Demand Analytics (Coursera) Coursera
Rutgers University

Demand Analytics (Coursera)

Welcome to Demand Analytics - one of the most sought-after skills in supply chain management and marketing! Through the real-life story and data of a leading cookware manufacturer in North America, you will learn the data analytics skills for demand planning and forecasting.

Sep 21st 2026
4 Weeks
Meaningful Marketing Insights (Coursera) Coursera
Emory University

Meaningful Marketing Insights (Coursera)

With marketers are poised to be the largest users of data within the organization, there is a need to make sense of the variety of consumer data that the organization collects. Surveys, transaction histories and billing records can all provide insight into consumers’ future behavior, provided that they are interpreted correctly. In Introduction to Marketing Analytics, we introduce the tools that learners will need to convert raw data into marketing insights. The included exercises are conducted using Microsoft Excel, ensuring that learners will have the tools they need to extract information from the data available to them.

Sep 21st 2026
5-12 Weeks
Narrative Economics (Coursera) Coursera
Yale University

Narrative Economics (Coursera)

This course, Narrative Economics, is relatively short and proposes a simple concept: we need to incorporate the contagion of narratives into our economic theory. You can think of narratives as stories that shape public beliefs, which in turn influence our decision making. Understanding how people arrived at certain decisions in the past can aid our understanding of the economy today and improve our forecasts of the future.

Oct 5th 2026
4 Weeks
Python and Statistics for Financial Analysis (Coursera) Coursera
The Hong Kong University of Science and Technology - HKUST

Python and Statistics for Financial Analysis (Coursera)

Python is now becoming the number 1 programming language for data science. Due to python’s simplicity and high readability, it is gaining its importance in the financial industry. The course combines both python coding and statistical concepts and applies into analyzing financial data, such as stock data.

Oct 5th 2026
4 Weeks
Practical Python for AI Coding 2 (Coursera) Coursera
Korea Advanced Institute of Science and Technology - KAIST

Practical Python for AI Coding 2 (Coursera)

This course is for a complete novice of Python coding, so no prior knowledge or experience in software coding is required. This course selects, introduces and explains Python syntaxes, functions and libraries that were frequently used in AI coding. In addition, this course introduces vital syntaxes, and functions often used in AI coding and explains the complementary relationship among NumPy, Pandas and TensorFlow, so this course is helpful for even seasoned python users.

Sep 28th 2026
5-12 Weeks