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Woody Lewenstein

This course delves into the captivating world of data storytelling, illuminating how data, when woven into narratives, can paint compelling pictures that drive decision-making and inspire change. It's a journey from the fundamentals of data visualization to the artistry of narrative building, designed for those who seek to make their data speak to audiences in meaningful ways. Through this course, participants will explore the intersection of analytics and creativity, learning to convert complex datasets into clear, impactful stories. Whether the goal is to influence business strategies, share insights in academia, or engage the public, this course equips you with the skills to bring data to life through powerful storytelling.  

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This course delves into the captivating world of data storytelling, illuminating how data, when woven into narratives, can paint compelling pictures that drive decision-making and inspire change. It's a journey from the fundamentals of data visualization to the artistry of narrative building, designed for those who seek to make their data speak to audiences in meaningful ways. Through this course, participants will explore the intersection of analytics and creativity, learning to convert complex datasets into clear, impactful stories. Whether the goal is to influence business strategies, share insights in academia, or engage the public, this course equips you with the skills to bring data to life through powerful storytelling.  

This course is designed for data analysts, marketers, journalists, educators, and students in data-related fields. Whether you're exploring datasets for insights, crafting marketing narratives, or enhancing journalism with data-driven stories, this course enhances your storytelling through impactful data visualization.

Participants should have a basic grasp of data analysis concepts and be familiar with tools like Microsoft Excel for creating visualizations. Enthusiasm for refining storytelling and presentation skills is encouraged. This course is ideal for those eager to enhance their ability to communicate data insights effectively.

By the end of the course, participants will adeptly navigate the intersection of data visualization and storytelling, enhancing audience engagement and comprehension. Through advanced design principles and storytelling techniques, they'll synthesize compelling data visualizations that resonate with their intended audience. Cultivating a critical eye for data integrity, relevance, and biases, they'll ensure narrative objectivity. Finally, mastering diverse tools and software, they'll craft engaging, visually appealing data stories.

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What's inside

Syllabus

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Read about what's good
what should give you pause
and possible dealbreakers
Teaches data storytelling to make data actionable and insightful for decision-making and change
Develops skills to convert complex datasets into clear and impactful data stories
Ideal for wide range of professionals including data analysts, marketers, journalists, educators, and students
Assumes familiarity with data analysis concepts and Microsoft Excel for visualization, but encourages enthusiasm for refining storytelling and presentation skills
By the end, learners will be able to effectively communicate data insights through engaging data visualizations and compelling narratives

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Reviews summary

Storytelling with data for business impact

According to students, this course is a highly valuable resource for anyone seeking to enhance their data communication skills. Learners consistently praise the instructor's ability to simplify complex data visualization principles into actionable storytelling techniques, making it a game-changer for those in professional roles. While it provides a solid foundational understanding of crafting compelling narratives, some feedback indicates it offers less depth in specific software tools. Overall, it's seen as an excellent investment for professionals needing to translate data into impactful business insights, especially for non-technical audiences.
Emphasizes storytelling concepts over deep dives into specific tools.
"I wished for more deep dives into specific visualization tools beyond conceptual understanding."
"It's more about 'what to do' rather than 'how to do it' with specific software."
"The course covers the basics of data storytelling well, focusing on structure and audience."
Instructors make complex data storytelling concepts accessible.
"The instructor expertly breaks down complex data visualization principles into actionable storytelling techniques."
"The instructor is very knowledgeable and passionate. The content is well-structured and easy to follow."
"The lessons are concise, and the exercises reinforce learning. I found them easy to follow."
Highly relevant for career-focused individuals and businesses.
"As a marketing analyst, I immediately applied these concepts to my dashboards and presentations."
"This course is a game-changer for anyone in business intelligence."
"The course content is highly relevant for professionals seeking to communicate data effectively."
"I learned how to make data accessible to non-technical audiences in my professional role."
Transforms data into compelling stories for business decisions.
"I immediately applied these concepts to my dashboards and presentations, making them far more impactful."
"My presentations at work have improved significantly; I now know how to highlight key insights effectively."
"This course is a game-changer for anyone in business intelligence."
"I learned how to tell a compelling story with my data, which is highly relevant for professionals."
Excellent for basics, but too superficial for experts.
"Some parts felt a bit high-level, and I wished for more deep dives into specific visualization tools."
"It was too basic for someone with a strong background in analytics. I was hoping for more advanced techniques."
"This course felt very superficial... Didn't gain much new knowledge as an experienced data scientist."
"It's more about 'what to do' rather than 'how to do it' with specific software."

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 Unlocking Business Insights through Storytelling with Data with these activities:
Review of basic statistical concepts
Reviewing foundational statistics concepts will strengthen understanding of course material.
Browse courses on Statistical Concepts
Show steps
  • Review lecture notes and textbooks from previous statistics courses.
  • Complete practice problems and exercises to test understanding.
Data visualization tools and resources compilation
Compiling resources and tools enhances knowledge of available options and aids in selecting appropriate tools for specific data visualization tasks.
Browse courses on Data Visualization Tools
Show steps
  • Research and identify a comprehensive range of data visualization tools.
  • Create a document or online repository to organize and document the tools.
  • Include key features, capabilities, and examples for each tool.
  • Continuously update the compilation with new tools and resources as they emerge.
Visualization techniques practice
Practicing data visualization techniques enhances proficiency and strengthens comprehension.
Show steps
  • Use online platforms or software to create visualizations based on given datasets.
  • Experiment with different chart types and explore their effectiveness.
  • Analyze and interpret the results of visualizations to draw meaningful insights.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Peer review and feedback sessions
Engaging in peer review enhances critical thinking, communication, and data interpretation skills.
Show steps
  • Form small study groups or connect with classmates.
  • Share visualizations and data stories for review and feedback.
  • Provide constructive criticism and suggestions for improvement.
Advanced data visualization tools exploration
Exploring advanced visualization tools expands proficiency and enables effective data storytelling.
Browse courses on Data Visualization Tools
Show steps
  • Identify and research advanced data visualization tools.
  • Follow online tutorials or attend workshops to learn the functionality of the tools.
  • Experiment with different features and techniques to enhance visualizations.
Mentoring junior students or peers
Mentoring others solidifies understanding of concepts, enhances communication skills, and fosters leadership qualities.
Show steps
  • Identify opportunities to mentor junior students or peers who are interested in data visualization.
  • Provide guidance and support on data analysis, visualization techniques, and storytelling.
  • Share knowledge and experience, answering questions and offering feedback.
Narrative building exercise
Creating data narratives deepens understanding of data interpretation and communication.
Browse courses on Data Storytelling
Show steps
  • Select a dataset and identify key insights and trends.
  • Develop a narrative structure that effectively conveys the insights.
  • Use visualization techniques to support and enhance the narrative.
  • Craft a written or oral presentation to communicate the data story.
  • Seek feedback and refine the narrative for clarity and impact.
Kaggle or similar data science competitions
Participating in competitions challenges skills, encourages innovation, and provides opportunities for networking and recognition.
Show steps
  • Identify relevant data science competitions on platforms like Kaggle.
  • Study competition details, datasets, and evaluation criteria.
  • Develop innovative solutions and create compelling data visualizations.
  • Submit entries and actively participate in competition forums and discussions.

Career center

Learners who complete Unlocking Business Insights through Storytelling with Data 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 Unlocking Business Insights through Storytelling with Data.
Seminal work on the grammar of graphics, a formal language for describing data visualizations. It covers a wide range of topics, from the basics of the grammar of graphics to the use of the grammar of graphics to create a variety of charts and graphs.
This classic book by Edward Tufte must-read for anyone interested in data visualization. It covers a wide range of topics, from the principles of visual perception to the design of effective charts and graphs.
Decisive provides a four-step process (WRAP) for making better decisions: Widen your options, Reality-test your assumptions, Attain distance before deciding, and Prepare to be wrong. offers practical strategies and is highly applicable for students and professionals seeking to improve their decision-making skills in various contexts. It's a practical guide that complements the theoretical understanding of decision making.
The third edition of the essential guide to data wrangling with pandas, NumPy, and Jupyter in Python. Updated for newer versions of the libraries, this book remains a core resource for anyone performing data analysis in Python. It widely used textbook and reference for its clear explanations and practical examples.
This comprehensive guide by award-winning professional storyteller Jamie Cat Callan covers a variety of topics essential to the craft, including story structure, character development, and performance techniques.
Ariely explores the many ways in which our decisions are not rational, revealing the systematic and predictable errors we make. is highly relevant to understanding the biases discussed in several of the online courses. It serves as valuable additional reading to complement theoretical knowledge with real-world examples of irrationality.
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This recent book delves into the concept of noise – the unwanted variability in judgments that should ideally be identical. It builds upon Kahneman's previous work and is highly relevant to contemporary discussions on improving decision making in professional settings, such as medicine, law, and forecasting. It provides a deeper understanding of errors in judgment beyond just biases.
A more recent iteration of the comprehensive 'Bible' series, this book covers the features of Excel 2021. It serves as an excellent reference and learning tool for users who want a deep understanding of the software, from basic to advanced functionalities. It's suitable for a wide range of users.
Dives into contemporary Excel topics like Power Pivot and Power Query, which are crucial for handling and analyzing large datasets. It's a key resource for users looking to move beyond basic data analysis and leverage Excel's business intelligence capabilities. Recommended for intermediate to advanced users and professionals.
Provides a comprehensive overview of the psychological processes that influence managerial judgment and decision making. It is often used as a textbook in business schools and is highly relevant for understanding how cognitive biases affect decisions in organizational settings. It's a valuable resource for both students and professionals.
Drawing on her background as a professional poker player, Duke provides a framework for making better decisions in situations involving uncertainty and incomplete information. is particularly useful for understanding probabilistic thinking and managing risk, relevant to courses on decision making under uncertainty and financial analysis. It offers practical strategies for real-world decision making.
Foundational text on data governance, which is essential for establishing policies and processes to ensure data integrity. It covers the design, implementation, and ongoing management of a data governance program. It's a must-read for anyone involved in establishing data governance frameworks.
Schwartz argues that an overload of choices can lead to increased anxiety, indecision, and dissatisfaction. is highly relevant to understanding the psychological impact of decision making in modern society, a theme that resonates with courses on consumer psychology and behavioral economics. It provides a deeper understanding of the challenges individuals face when making choices.
This recent book addresses data quality from the perspective of data pipelines and data observability. It provides practical guidance and techniques for ensuring data quality in modern data architectures. is particularly relevant for data engineers and those working with large-scale data systems.
Specifically targets financial modeling using Excel, a key application in finance and accounting. is essential for students and professionals in these fields who need to build and analyze financial models. It covers relevant formulas, functions, and best practices.
Provides a comprehensive overview of the evolution of language, covering topics such as the origins of language, the structure of language, and the relationship between language and thought. It valuable resource for students who want to develop a strong understanding of the biological and cognitive aspects of language.
This textbook provides a comprehensive overview of linguistics, covering topics such as phonetics, phonology, morphology, syntax, semantics, and pragmatics. It valuable resource for students who want to develop a strong foundation in the field of communication.
Considered a classic practical guide, this book outlines a structured approach to decision making focusing on identifying objectives, creating alternatives, and understanding consequences and tradeoffs. It's a valuable reference tool for anyone who needs a systematic method for tackling complex decisions. The methods presented are time-tested and widely applicable.
Provides a foundational understanding of the fundamental principles of data science and the data-analytic thinking necessary for extracting value from data in a business context. It is highly relevant for undergraduate business analytics programs and working professionals. It serves as a useful reference for understanding the business applications of data analysis and is commonly used as a textbook.
A follow-up to 'Thinking in Bets,' this book offers practical tools and frameworks for making better decisions in everyday life. It focuses on developing a robust process for decision making, even when faced with uncertainty. is well-suited for a broad audience looking for actionable strategies.
Provides a comprehensive overview of data visualization, covering the basics of visual perception, data types, and chart types. It great resource for beginners who want to learn the fundamentals of data visualization.
A focused guide on Power Query, a powerful tool for data extraction, transformation, and loading within Excel and Power BI. is crucial for anyone dealing with data from multiple sources and needing to clean and prepare it for analysis. It's a valuable resource for data professionals.
Focuses on creating effective and advanced data visualizations using Excel, going beyond the default chart types. It's highly relevant to contemporary data analysis and communication. It provides step-by-step guides for creating various chart types and is valuable for users at all levels looking to improve their data storytelling.
Offers a detailed exploration of data quality, a core component of data integrity. It covers various dimensions of data quality, methods for measurement, strategic approaches, and management frameworks. It's a valuable resource for those looking to deepen their understanding of data quality principles and practices.
Practical guide to the craft of journalism, offering advice on everything from interviewing sources to writing clear and concise stories. It valuable resource for both aspiring and experienced journalists.
This recent publication offers a practical, step-by-step approach to building a data governance strategy. It emphasizes creating a data-driven culture to support data integrity efforts. is highly relevant for organizations starting their data governance journey.
Dalio shares the principles he developed and used to achieve success in life and at Bridgewater Associates. The book outlines a systematic approach to decision making based on clearly articulated principles and radical transparency. It provides insights into strategic decision making in a professional context.
Examines the traits and techniques of 'superforecasters' – individuals who are exceptionally good at predicting future events. It provides insights into probabilistic thinking, updating beliefs based on new information, and working in teams to improve forecasts, all of which are relevant to data-driven decision making and strategic planning.
Addresses contemporary data analytics practices within Excel, focusing on modern techniques for cleaning, transforming, and analyzing data. It's highly relevant for those looking to update their skills and leverage Excel for more sophisticated data analysis tasks.
While not solely focused on data integrity, this book delves into the challenges of building reliable and maintainable data systems. It covers topics such as data models, storage, retrieval, and distributed systems, all of which impact data integrity in modern applications. is valuable for those seeking a deeper technical understanding of data systems.
Applies game theory principles to a wide range of strategic interactions, providing a framework for thinking strategically and making decisions when the outcome depends on the choices of others. It's highly relevant for understanding strategic decision making in business and other competitive environments.
This guide provides a comprehensive overview of operationalizing data trustworthiness through data governance. It covers the people, processes, and tools required for effective data governance. valuable resource for implementing data governance in practice.
Dives deep into array formulas, a powerful technique for complex calculations in Excel. It's for users who want to deepen their understanding of advanced formulas and push the boundaries of what Excel can do. Recommended for intermediate to advanced users.
The latest in Kotler's marketing series, this book examines the role of technology, including AI, in shaping the future of marketing. It's highly relevant for understanding contemporary marketing challenges and opportunities.
Ideal for beginners, this book provides a solid foundation in Excel basics with step-by-step guides. It covers a wide range of fundamental topics, making it a great starting point for those new to spreadsheets. While suitable for initial learning, it also touches upon more complex areas.
Focuses on applying Excel to solve business problems and analyze business data. It's a practical guide for students and professionals in business-related fields who need to use Excel for decision-making and analysis.
This academic text provides a thorough exploration of the theoretical and empirical research on thinking and decision making. It covers various models of decision making and biases, making it a valuable resource for graduate students and researchers seeking a deep understanding of the subject. It's more suitable as a core textbook for advanced study.
Focuses on the crucial skill of communicating insights from data effectively through compelling visualizations. is highly relevant for all levels, emphasizing the importance of clear and impactful data presentation. It is valuable additional reading that complements technical data analysis skills.
This practical guide provides a step-by-step methodology for implementing data quality projects. It focuses on actionable strategies and best practices for improving data quality within an organization. is particularly useful for professionals involved in data quality initiatives and can serve as a practical reference.
Klein explores decision making in naturalistic settings, focusing on how experienced professionals make high-stakes decisions under pressure and with limited information. is valuable for gaining a broader understanding of decision processes beyond purely rational models and is particularly relevant for those interested in leadership and applied decision making.
A focused guide on mastering Excel formulas and functions, which are fundamental to using Excel effectively. is helpful for users looking to deepen their understanding of how to perform calculations and manipulate data. Relevant for all levels beyond the absolute beginner.
This seminal work introduces the concept of positioning and how to create a unique space for a brand in the consumer's mind. It's a classic that provides foundational knowledge for branding and marketing strategy. It remains highly relevant for understanding competitive markets.
Introduces a practical approach to data governance by leveraging existing organizational processes. It focuses on formalizing and improving current data management activities to achieve better data integrity. This book is valuable for organizations looking for a less disruptive way to implement data governance.

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