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Data Visualization

5 resources

Level
Type

🎓Courses(1)

course👁️ 0

Data Visualization

In the era of big data, acquiring the ability to analyze and visually represent “Big Data” in a compelling manner is crucial. Therefore, it is essential for data scientists to develop the skills in producing and critically interpreting digital maps, charts, and graphs. Data visualization is an increasingly important topic in our globalized and digital society. It involves graphically representing data or information, enabling decision-makers across various industries to comprehend complex concepts and processes that may otherwise be challenging to grasp. DSCI 605 Data visualization serves as the foundation for understanding principles, concepts, techniques, and tools used to visualize information in large, intricate data sets. It also provides hands-on experience in visualizing big data using the open-source software R. Through the course, students will learn to evaluate the effectiveness of visualization designs and think critically about decisions, such as color choice and visual encoding. Additionally, students will create their own data visualizations and become proficient in using R. The course comprises four sections. The first section caters to learners with minimal or no experience in R, establishing the groundwork for data visualization with R. The second section introduces preliminary data visualization techniques, allowing students to gain hands-on experience with common visualization practices for Exploratory Data Analysis (EDA) using ggplot2. This section emphasizes data exploration before delving into advanced data mining. The third section builds upon existing data visualization skills by delving into advanced data visualization topics, including interactive data visualization, time series plotting, and spatial mapping. The primary objective of the first three sections is to equip students with a well-developed set of skills, enabling them to create a wide range of visualizations in R. The final section focuses on completing a final project, where students apply the skills, theory, and experiences gained from the previous sections. The project entails developing a data visualization that effectively communicates a compelling story to the audience and readers.

beginner🇬🇧

📚Books(1)

book👁️ 0

ggplot2

ggplot2 - A book resource

intermediate🇬🇧

🌐Websites(3)

website👁️ 0

dataviz.org

Dataviz.org is the hub of the Data Visualization Society, offering resources and community for data visualization professionals and enthusiasts. It features articles, tutorials, case studies, events, and discussions to learn, showcase work, and connect with others in the field.

intermediate🇬🇧
website👁️ 0

flowingdata.com

FlowingData is a data visualization blog that offers tutorials, design tips, case studies, and real‑world examples to help you visualize data and tell compelling stories with charts and dashboards.

intermediate🇬🇧
website👁️ 0

public.tableau.com

Tableau Public is a free gallery for interactive data visualizations created with Tableau; you can explore dashboards, charts, and stories published by a global community and learn from real-world examples to inspire your own visualizations.

intermediate🇬🇧

Frequently Asked Questions

What are the best free resources to learn Data Visualization?

Dantes has curated a selection of resources for Data Visualization, including 3 books, 3 courses, 3 websites. All resources are hand-picked for quality — no algorithmic filler. Browse the full list above to find the format that works best for you.

Is Data Visualization hard to learn?

Data Visualization is approachable at the beginner level — there are resources here specifically for those starting from scratch. As you progress, intermediate and advanced material is also available to take your skills further.

What types of Data Visualization learning resources are available on Dantes?

For Data Visualization, Dantes has curated 3 books, 3 courses, 3 websites. Each resource type serves a different learning style: videos and YouTube for visual learners, books for depth, courses for structured progression, and websites for quick reference.

How does Dantes select Data Visualization resources?

Dantes is an algorithm-free learning directory. Resources are hand-curated based on quality, accuracy, and usefulness — not engagement metrics or paid placements. The goal is to surface the best learning material for Data Visualization, whether it's a free YouTube series, a classic textbook, or an open courseware from a top university.

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