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Bo Rodda
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Syllabus

Module 1: Fundamentals of Data Visualization
This module introduces the core principles and significance of data visualization. Learners will explore the history and development of data visualization, understand how visual perception plays a role in interpreting data, and gain experience creating basic charts like bar charts, line charts, and pie charts.
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Activities

Coming soon We're preparing activities for Data Visualization and the Art of Storytelling - Bachelor's. These are activities you can do either before, during, or after a course.

Career center

Learners who complete Data Visualization and the Art of Storytelling - Bachelor's will develop knowledge and skills that may be useful to these careers:
Data Storyteller
A Data Storyteller transforms complex datasets into clear, engaging, and actionable narratives that resonate with diverse audiences. This course provides an exceptional foundation for aspiring Data Storytellers by focusing explicitly on crafting compelling data-driven narratives, a skill central to Modules 4 and 8. Learners delve into structuring data stories, creating visual hierarchies, and connecting insights to meaningful messages. The emphasis on developing a portfolio of visualizations that communicate data-driven stories by the end of the course directly prepares individuals for this role, allowing them to showcase their ability to translate raw data into persuasive insights, a core competency for success in this dynamic career field.
Data Visualization Specialist
A Data Visualization Specialist is adept at designing and creating visual representations of data to reveal patterns, trends, and insights. This course is an ideal pathway for a Data Visualization Specialist, directly addressing the core principles of effective data visualization, as introduced in Module 1. Students learn to select appropriate charts (Module 2), explore relationships in data using various plots (Module 3), and integrate advanced techniques like interactivity and geospatial mapping (Modules 5 and 6). The practical experience gained in developing a portfolio of visualizations throughout the course means students will have tangible examples of their ability to communicate data effectively, which is essential for showcasing expertise in this specialized career.
Data Journalist
A Data Journalist investigates and reports on stories using data, often presenting findings through interactive visualizations and compelling narratives. This course is highly correlated with the work of a Data Journalist, as it directly teaches the skills of crafting compelling data-driven narratives (Modules 4 and 8) and creating a portfolio of visualizations that communicate stories. The exploration of advanced visualization techniques (Module 5) and designing for accessibility and ethics (Module 7) are particularly pertinent, ensuring that journalistic representations are both engaging and responsible. This course helps learners acquire the unique blend of analytical rigor and storytelling prowess essential for this impactful career.
Insights Analyst
An Insights Analyst translates data findings into understandable and actionable intelligence for business stakeholders. This course is exceptionally well-suited for an Insights Analyst, as its primary goal is to teach students how to visualize data effectively and craft compelling narratives that communicate data-driven stories. The rigorous exploration of data types (Module 2), relationships and patterns (Module 3), combined with the art of storytelling (Module 4), directly supports the core functions of this role. By learning to structure narratives and communicate insights effectively for a specific audience (Module 8), learners will be able to deliver impactful recommendations that drive strategic decisions.
Geographic Information Systems Specialist
A Geographic Information Systems Specialist works with spatial data to create maps and conduct analyses for various applications. This course offers very specific and relevant training for a Geographic Information Systems Specialist, particularly through Module 6, which is dedicated to "Introduction to Geospatial Data and Visualization." Students learn to visualize geographical data using maps and geospatial tools to uncover insights and tell compelling location-based stories. This specialized module, combined with the broader principles of data visualization (Module 1) and crafting complete data stories (Module 8), provides a robust foundation for interpreting and communicating complex spatial information, which is a core function of this technical role.
Research Analyst
A Research Analyst collects, interprets, and presents data to support academic, market, or policy research. This course is highly relevant for a Research Analyst, providing a robust framework for visualizing relationships and patterns in data (Module 3) and communicating research findings with clarity and precision. The emphasis on selecting appropriate visualizations for different data types (Module 2) and crafting a complete data story (Module 8) ensures research outputs are not only accurate but also engaging and comprehensible. This course also helps develop a portfolio of visualizations, preparing learners to effectively disseminate their research insights to diverse audiences in a professional setting.
Business Intelligence Analyst
A Business Intelligence Analyst collects, analyzes, and visualizes data to help organizations make informed strategic decisions. This course can be highly beneficial for an aspiring Business Intelligence Analyst because it focuses on the critical skill of communicating insights with clarity and precision, as highlighted in Module 3. Understanding core visualization principles (Module 1), selecting appropriate data representations (Module 2), and crafting compelling data-driven narratives (Module 4) are central to effectively presenting business intelligence. The course's emphasis on designing narratives using tools like data dashboards (Module 4) directly prepares learners to create the impactful reports and interactive dashboards vital for this role.
Data Product Manager
A Data Product Manager specializes in products where data is the core offering or a critical component, defining strategies and ensuring effective data utilization. This course provides excellent skills for a Data Product Manager. The ability to visualize data effectively (Module 1) and understand data types (Module 2) is fundamental for defining data products. Crucially, the focus on crafting compelling data-driven narratives (Module 4) and communicating insights effectively for a specific audience (Module 8) is invaluable for pitching data product ideas, demonstrating value, and educating users on how to interpret and benefit from data-driven features. An advanced degree is often preferred for this role.
Consultant
A Consultant advises organizations on strategic issues, often requiring deep analysis and clear communication of complex information. This course can serve as a strong foundation for a Consultant, as the ability to visualize data effectively (Module 1) and present findings through compelling narratives is paramount. Clients often require data-backed insights, and the course's focus on structuring data stories, creating visual hierarchies, and using data dashboards (Module 4) can translate complex analyses into understandable recommendations. Learning to communicate insights effectively for a specific audience (Module 8) is directly aligned with the consultative approach of tailoring messages to client needs.
Marketing Analyst
A Marketing Analyst examines market data, campaign performance, and consumer behavior to identify trends and inform marketing strategies. This course can significantly help a Marketing Analyst by honing their skills in visualizing data effectively and crafting compelling narratives from complex information. Understanding how to explore relationships and patterns in data (Module 3) allows for deeper insights into customer segments or campaign efficacy. Furthermore, the focus on structuring data stories (Module 4) and communicating insights effectively for a specific audience (Module 8) is crucial for presenting actionable recommendations to marketing teams and stakeholders, bridging the gap between raw data and strategic decisions.
Policy Analyst
A Policy Analyst evaluates policies and programs, often using data to inform recommendations and communicate findings to stakeholders. This course can be particularly helpful for a Policy Analyst because it teaches the crucial skills of visualizing data effectively (Module 1) and crafting compelling data-driven narratives. Understanding how to explore relationships in data (Module 3) is key for evidence-based policy making. Moreover, Module 7, which focuses on "Designing for Accessibility and Ethics in Data Visualization," is directly applicable to creating transparent and inclusive policy reports, ensuring data is communicated responsibly to diverse public and governmental audiences.
Product Manager
A Product Manager guides the strategy, roadmap, and feature definition for a product. This course may be especially helpful for a Product Manager, as understanding data to make informed decisions and communicate product performance is crucial. The ability to visualize data effectively (Module 1) and select appropriate charts (Module 2) can aid in analyzing product usage or market trends. Furthermore, the emphasis on crafting compelling data-driven narratives and communicating insights for a specific audience (Modules 4 and 8) is invaluable for presenting product roadmaps, performance reports, and user research to stakeholders and development teams, fostering clear communication and alignment.
User Experience Designer
A User Experience Designer focuses on making products and services useful, usable, and enjoyable. This course may be helpful for a User Experience Designer, especially when dealing with data-rich interfaces or dashboards. The understanding of visual perception (Module 1), the importance of design principles (Module 4), and advanced visualization techniques (Module 5) can inform the creation of intuitive and effective data displays. Crucially, Module 7, "Designing for Accessibility," directly addresses creating inclusive designs, an essential aspect of user experience. This course helps build a foundation for communicating complex information clearly within digital products.
Content Strategist
A Content Strategist plans and manages the creation and distribution of valuable content to achieve business objectives. This course may be helpful for a Content Strategist by enhancing their ability to use data to inform content decisions and present content performance effectively. The principles of crafting compelling data-driven narratives (Module 4) and communicating insights for a specific audience (Module 8) are directly transferable to developing engaging content strategies that resonate with target demographics. Additionally, understanding how to visualize data (Module 1) can aid in presenting analytical findings about content engagement or market trends in a clear and persuasive manner.
Technical Communications Specialist
A Technical Communications Specialist creates clear and concise documentation and content, often explaining complex technical information to various audiences. This course may be useful for a Technical Communications Specialist because it emphasizes structuring narratives (Module 4) and communicating insights effectively (Module 8). While not solely focused on textual communication, the principles of creating visual hierarchies and designing data stories can be applied to enhance technical reports, manuals, and presentations. Learning to visualize data effectively (Module 1) can also help a specialist to incorporate impactful charts and graphs into their materials, making complex data more accessible and understandable for end-users.

Reading list

We haven't picked any books for this reading list yet.
Beginner's guide to using Tableau, one of the most popular data visualization tools. It covers the basics of Tableau, as well as how to use Tableau to create a variety of charts and graphs.
Classic work on data visualization by John W. Tukey, one of the pioneers of the field. It covers a wide range of topics, from the principles of visual perception to the design of effective charts and graphs.
Practical guide to data visualization using D3.js, a popular JavaScript library for data visualization. It covers a wide range of topics, from the basics of D3.js to the use of D3.js to create a variety of charts and graphs.
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.
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.
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.
Beginner-friendly book that covers the fundamentals of data visualization, including how to choose the right charts and graphs for your data and how to effectively communicate your findings.
Comprehensive guide to data visualization for data scientists. It covers a wide range of topics, from the basics of visual perception to the design of effective charts and graphs. It great resource for data scientists who want to learn more about data visualization.

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