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  • D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using D3 stands for Data Driven Documents and is currently the number one choice for web-based analytics and visualization projects when it comes to interactivity, flexibility and features.
  • D3.js is open source and have a huge set of powerful libraries to take advantage from. The possibility with D3 are endless but the main challenge for learning D3 is it's steep learning curve. The video contents and shared repositories in the course are designed in such a way that it provides a step-by-step and hands-on methodology to get a solid grasp on the concept and get working knowledge of the technology.
  • All the major elements and functionalities one might use in D3 projects are covered and explained very well, so students will have no problem in implementing the learning into practice.
  • There is also a working data visualization project which is explained in this course and build from scratch so students can understand the details of implementation and problem-solving approach with D3.js.
  • Basic and Advance concepts are covered in a logical sequence, so students will know why a concept is required and when to use it in visualization or analytics project.
  • All the learning in this course are kept hands-on basis and the development codes and repositories are shared via the cloud, so students will have access to the code snippets anytime from anywhere for free.
  • The course not only covers the libraries, elements and features but also provides knowledge and understanding of when to use them so students can make the transition from a newcomer in D3.js development to professional with ease in less time.
  • This course also covers the debugging aspect of development with D3.js and explains what tools to use and how to use it to identify errors, bugs and fix them fast.
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What's inside

Syllabus

Introduction to D3 and Course Breakdown

In this section, we will understand what is D3 and why it is one of the best options to consider for building analytics and visualization applications.

Read more

In this section, we will see how the course is structured and what is the sequence in which we are going to learn D3.

SVG stands for Scalable Vector Graphics (SVG) and is an XML-based vector image format for two-dimensional graphics with support for interactivity and animation. In this section, we will create basic SVG objects using HTML5 in our cloud IDE.

In this section, we will create simple SVG object with the help of D3 libraries in our cloud IDE.

d3.select() and d3.selectAll() are two functions which can be used to select an element or object, just like jQuery and in this section we are going to see how to use them.

In this section, we are going to see how to add CSS style properties to our SVG and HTML5 elements using inline, internal and external stylesheet.

In this section, we are going to create basic geometrical elements like circle and rectangle which help of D3 libraries

In this section, we are going to use a data array to create simple rectangles which will later become the foundation to draw Bar chart using D3.

In this section, we are going to see how to use external CSV/TSV data files and read our data to draw meaningful chart out-out it. For this example, we will load an array of data from a CSV file and create simple Bar chart out of it.

This is the Part 1 of the section, where we are going to understand how D3 Scale works and what are different types of scale which we can use in D3. Mainly there are Linear and Ordinal scale and we will see where these scales are typically used and Why.

This is the Part 2 of the section, where we are going to understand how D3 Scale works and what are different types of scale which we can use in D3. Mainly there are Linear and Ordinal scale and we will see where these scales are typically used and Why.

This is the Part 1 of the section, where we will continue with our simple Bar chart example and add X and Y axis to it using D3 functions and CSS.

This is the Part 2 of the section, where we will continue with our simple Bar chart example and add X and Y axis to it using D3 functions and CSS.

We use D3 events to facilitates interactivity and animations. We will create a simple tooltip with the help of D3 events to demonstrate the functionality and use of events in D3.

This is the Part 1 of the section, where we will create a Bubble chart using D3 libraries and will show 2-D and 3-D data using the Bubble chart.

This is the Part 2 of the section, where we will create a Bubble chart using D3 libraries and will show 2-D and 3-D data using the Bubble chart.

This is the Part 1 of the section, where we will create a Donut chart out of our 2-D data array and convert this Donut chart and see how to create the Donut chart into Pie chart. Pie chart and Donut chart are an excellent way to show comparison among data points on the percentage basis.

This is the Part 2 of the section, where we will create a Donut chart out of our 2-D data array and convert this Donut chart and see how to create the Donut chart into Pie chart. Pie chart and Donut chart are an excellent way to show comparison among data points on the percentage basis.

This is the Part 3 of the section, where we will create a Donut chart out of our 2-D data array and convert this Donut chart and see how to create the Donut chart into Pie chart. Pie chart and Donut chart are an excellent way to show comparison among data points on the percentage basis.

This is the Part 4 of the section, where we will create a Donut chart out of our 2-D data array and convert this Donut chart and see how to create the Donut chart into Pie chart. Pie chart and Donut chart are an excellent way to show comparison among data points on the percentage basis.

In this section, we will create a simple line chart from our 1-D data set and even see how to apply events to calculate and show data when user hover over the line. The Line chart is an excellent way to represent trends over time.

This is the Part 1 of the section, where we will look into advanced data representation format like Map. We will use Geo-JSON format to draw a USA country map and represent population data over it.

This is the Part 2 of the section, where we will look into advanced Data representation format like Map. We will use Geo-JSON format to draw a USA country map and represent population data over it.

In this section, we will see what we are going to build in our visualization project using D3.

In this section, we will see the usecase on which our final project is going to be based on and the wireframe for it.

In this section, we are going to see how the code structure will be and what are the different modules which are going to come together to solve it.

Here we will start to build our final project by first building the US Map and adding the data to the project. Data here will be hard coded for the purpose to reduce complexity and to provide a single point of reference in future projects.

Next Step after drawing the map and adding data to the project will be to create the State vs Population Chart. We are going to build the project in modular and reusable fashion with the help of custom and reusable functions.In this section, we are going to define the basic properties of padding, scales and axis for this Bar chart.

In this section, we are going to use properties created in Part 2 to drawing the State vs Population Bar chart.

Here we are going to define the properties for our individual State vs Year Bar chart which we will generate once we click over any individual state present in US Map.

In this section, we are going to draw the State vs Year Bar chart for individual state with properties we have defined in part 4.

In this section ,we are going to complete the Usecase by adding the KPI numbers to the final project.

And finally in this section, we are going to improve the alignment and look of the visualization with the help of CSS.

In this section, we are going to summarize the entire course and topics covered in it.

Your instructor Ajay Nayak is CTO of UI5CN.

About Ajay:

"Ajay is very passionate and enthusiastic about technology and teaching online. From a very small age he started coding. Before working with UI5CN, he had worked with many big names like Capgemini®, Statoil®, SAP® and Skybuffer in wide range of portfolios. "

About UI5CN

UI5CN platform is a learning platform for technical and tech-design related video courses and online coding exercises to help student master new and upcoming technical skills most fast and simple way.

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Provides hands-on experience with D3.js, which is valuable for creating interactive web-based analytics and visualization projects, making it highly relevant for professionals in these fields
Covers basic and advanced concepts in a logical sequence, which helps students understand the 'why' behind each concept and its application in visualization or analytics projects
Includes a working data visualization project built from scratch, which allows students to understand the details of implementation and problem-solving approaches with D3.js in a practical context
Explores debugging aspects of development with D3.js, explaining what tools to use and how to use them to identify errors and bugs, which is essential for professional development
Requires familiarity with HTML5 and CSS styling, which may necessitate additional learning for individuals without prior experience in web development technologies
Uses cloud-based IDE, which may require learners to adapt to a specific development environment, but also provides accessibility to code snippets from anywhere

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Reviews summary

Hands-on d3.js for beginners

According to students, this course offers a largely positive approach to learning D3.js, particularly for beginners. Learners highlight the hands-on approach and practical coding examples as highly effective, making complex concepts easier to grasp. The clear explanations of core fundamentals and the final project are seen as valuable for solidifying understanding. However, some reviewers note that the code examples appear outdated, using older D3 versions, which can lead to frustration and require extra effort for debugging and adapting to current practices. Despite these code currency issues, many found it a great starting point.
Project helps solidify concepts learned.
"The final project was a great way to consolidate everything."
"The final project helped tie concepts together."
"The project work is valuable."
Core concepts explained well for beginners.
"The instructor explained complex topics clearly."
"Very clear explanations and practical examples."
"I found the course covered core D3 concepts well, especially data binding and scales."
Excellent starting point for learning D3.
"Highly recommend for beginners looking to get started with D3."
"Great for anyone new to D3."
"Perfect introduction to D3."
"Fantastic D3 course for beginners."
Practical coding exercises are highly valued.
"This course was fantastic! The hands-on approach with code examples made learning D3.js much easier..."
"Excellent course! The focus on a hands-on, practical approach really resonated with me."
"Perfect introduction to D3. The hands-on exercises are key."
"Good hands-on approach. I learned a lot about SVG and data visualization principles..."
"Fantastic D3 course for beginners. Hands-on examples make complex things simple."
Potential issues with code examples provided.
"...and I encountered a few minor issues with the code in the repo not exactly matching the videos."
"...I struggled to get the code working..."
"Some minor code issues but generally good."
Code examples use older D3 versions.
"However, some examples seem a bit outdated, and I struggled to get the code working with the latest D3 version."
"Disappointing. The code examples are not up-to-date with D3 v7/v8. I spent more time debugging version issues..."
"Content is ok, covers basics. But the code uses an older D3 version which is frustrating. Needs updating."

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 Learn D3.JS Hands-on And The Simple Way with these activities:
Review JavaScript Fundamentals
Solidify your understanding of JavaScript fundamentals, including variables, data types, functions, and control flow, as D3.js relies heavily on JavaScript.
Browse courses on JavaScript Fundamentals
Show steps
  • Review online JavaScript tutorials.
  • Practice writing basic JavaScript functions.
  • Complete JavaScript coding challenges.
Read 'D3.js in Action' by Elijah Meeks
Supplement your learning with a dedicated book on D3.js to gain a deeper understanding of the library's capabilities and best practices.
Show steps
  • Read the book chapter by chapter.
  • Try out the code examples in the book.
  • Relate the book's content to the course materials.
Read 'Interactive Data Visualization for the Web' by Scott Murray
Supplement your learning with a dedicated book on D3.js to gain a deeper understanding of the library's capabilities and best practices.
Show steps
  • Read the book chapter by chapter.
  • Try out the code examples in the book.
  • Relate the book's content to the course materials.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Replicate D3.js Examples
Reinforce your understanding of D3.js concepts by replicating existing examples from the D3.js gallery or other online resources.
Show steps
  • Find D3.js examples online.
  • Try to recreate the examples from scratch.
  • Compare your code to the original.
Document Your D3.js Journey
Solidify your understanding and share your knowledge by creating a blog post or tutorial on a specific D3.js topic.
Show steps
  • Choose a D3.js topic to write about.
  • Research the topic thoroughly.
  • Write a clear and concise explanation.
  • Include code examples and visualizations.
Build a Simple Data Dashboard
Apply your D3.js skills by building a simple data dashboard that visualizes a dataset of your choice.
Show steps
  • Choose a dataset to visualize.
  • Design the layout of your dashboard.
  • Implement the visualizations using D3.js.
  • Add interactivity to your dashboard.
Contribute to a D3.js Project
Deepen your understanding of D3.js by contributing to an open-source project that uses the library.
Show steps
  • Find an open-source D3.js project.
  • Identify an area where you can contribute.
  • Submit a pull request with your changes.

Career center

Learners who complete Learn D3.JS Hands-on And The Simple Way will develop knowledge and skills that may be useful to these careers:
Data Visualization Engineer
A data visualization engineer transforms raw data into understandable and actionable insights through visual representations. This role requires proficiency in tools and technologies for creating interactive dashboards, charts, and reports. This course on D3.js is directly applicable, as D3.js is a powerful JavaScript library specifically designed for manipulating documents based on data to create dynamic and interactive data visualizations for the web, and is currently the number one choice for web-based analytics and visualization projects when it comes to interactivity, flexibility and features. The course's hands-on approach, covering major D3.js elements and functionalities, helps build a solid foundation in creating custom data visualizations and also covers debugging. Learning to draw different types of charts such as bubble charts, donut charts, pie charts, and line charts using D3JS may prove useful for those in this career field. The final project synthesizes the learning and demonstrates the implementation of D3.js in a real-world data visualization project.
Reporting Analyst
A reporting analyst gathers and analyzes data to create reports that inform business decisions. They are responsible for ensuring the accuracy and timeliness of these reports. This course can provide reporting analysts with the ability to create more engaging and informative reports using data visualization techniques. The main focus of this course centers on the use of D3.js to manipulate data. The final project in the course allows the learners to create a full visualization with the help of D3.js. This would be really useful when creating data visualizations for the purpose of reporting.
Data Journalist
A data journalist uses data to uncover, write, and present news stories. This involves gathering data, analyzing it, and creating visualizations to communicate findings to the public. A data journalist benefits immensely from this course. By focusing on D3.js, a JavaScript library for data manipulation and visualization, the data journalist may learn how to create compelling data visualizations that enhance the clarity and impact of their stories. The course helps provide hands-on experience with creating interactive charts and graphs, as well as the use of external data sources. The final project can serve as a practical example of how to apply D3.js to real-world journalistic challenges.
Business Intelligence Analyst
A business intelligence analyst uses data to identify trends and provide insights that help a company make strategic decisions. Responsibilities include gathering data, analyzing data, and creating reports and dashboards. This course is very helpful, as one of the primary concerns for business intelligence analysts is communicating data insights effectively; this course demonstrates how to create compelling data visualizations that can enhance the clarity and impact of reports and dashboards. The course’s focus on D3.js, a JavaScript library for data manipulation and visualization, is relevant. The course helps provide hands-on experience with creating interactive charts and graphs, as well as the use of external data sources. The final project can serve as a practical example of how to apply D3.js to real-world business intelligence challenges.
Analytics Consultant
An analytics consultant works with clients to identify business challenges and opportunities, using data analysis and modeling techniques to provide actionable insights and recommendations. This role requires strong analytical skills and the ability to communicate complex information effectively. This course is very helpful, as analytics consultants often need to present data in a clear and compelling way. The course's lessons covering D3.js may help consultants create compelling data visualizations that enhance the clarity and impact of their presentations and reports. The course’s focus on D3.js, a JavaScript library for data manipulation and visualization, is relevant. The course helps provide hands-on experience with creating interactive charts and graphs.
Data Analyst
A data analyst interprets data, analyzes results using statistical techniques, and provides ongoing reports. They work with stakeholders to identify opportunities for improvement. This course can provide data analysts with the ability to present data in a more compelling and understandable way. The course covers how to use D3.js to draw different types of charts, and how to use scales and axes to represent data accurately. Those in this role may find the section on using external CSV/TSV data files particularly valuable, as it directly addresses the need to visualize data from various sources. The final project within the course demonstrates how these skills can be applied in a practical, real-world scenario.
Data Scientist
A data scientist analyzes complex data sets to derive insights and solve business problems. They often use programming languages and statistical methods to build models and algorithms. Data scientists often need to present their findings in an understandable way, and this course helps build skills to create compelling data visualizations using D3.js. D3.js is a great javascript library for manipulating documents based on data. The course's coverage of different chart types, scales, and axes provides data scientists with the tools to create effective visualizations that communicate complex data insights. The final project also serves as a practical demonstration of applying D3.js to real-world data science challenges.
Market Research Analyst
A market research analyst studies market conditions to examine potential sales of a product or service. They analyze data on consumer demographics, preferences, and buying habits. This course can help market research analysts better communicate their findings through data visualization. D3.js can be used to create interactive maps, charts, and graphs that illustrate market trends and consumer behavior. The course's coverage of different chart types, scales, and axes provides market research analysts with the tools to create effective visualizations that communicate complex data insights.
UX Designer
A user experience designer focuses on the user's interaction with a product or service, aiming to create interfaces that are intuitive, efficient, and enjoyable. This course provides UX designers with skills to create more engaging and informative user interfaces through data visualization. By teaching how to use D3.js to manipulate data and create interactive graphics, the course allows UX designers to integrate dynamic data displays into their designs. The course's coverage of D3 events for interactivity also allows UX designers to add tooltips and other interactive features that enhance user experience.
Scientific Visualization Specialist
Scientific visualization specialists create visual representations of scientific data. Often, this requires advanced modeling and simulation to help scientists better understand their data. The use of D3.js in this course may provide visualization skills that are crucial for communicating complex scientific findings. The course covers how to use D3.js to draw different types of charts, and how to use scales and axes to represent data accurately. The final project within the course demonstrates how these skills can be applied in a practical, real-world scenario.
Statistical Graphics Designer
A statistical graphics designer specializes in creating visual displays of quantitative information, often for use in academic research, government reports, or business presentations. This typically requires advanced education, like a master's degree or a doctorate. The course provides statistical graphics designers with the ability to create custom data visualizations. The course's coverage of different chart types, scales, and axes helps build necessary skills. The course's hands-on approach, covering major D3.js elements and functionalities, helps build a solid foundation in creating custom data visualizations and also covers debugging.
Front-End Developer
A front end developer implements visual elements and user interfaces that users interact with in a web application. This role blends design and technology to create engaging digital experiences. This course may prove useful for front end developers who wish to enhance their skills in data visualization. By covering the use of SVG with HTML5 and D3, essential D3 properties, and the integration of internal and external data, this course helps front end developers to create dynamic and interactive data displays. The knowledge of D3 events for interactivity allows the developer to add tooltips and other interactive elements that may be important in modern websites. The course's hands-on approach and shared code repositories streamline the learning process and provide practical experience.
Web Developer
A web developer is responsible for designing, coding, and modifying websites, from layout to function, according to a client's specifications. This course may prove useful for web developers looking to enhance their websites with interactive data visualizations. The course’s focus on D3.js, a JavaScript library for manipulating documents based on data, is directly applicable. The course helps web developers integrate dynamic and data-driven content into their websites. The course's hands-on approach, use of SVG with HTML5 and D3, essential D3 properties, and the integration of internal and external data help build proficiency. The knowledge of D3 events for interactivity allows developers to add tooltips and other interactive elements.
Information Architect
An information architect organizes and structures information to create effective and user-friendly navigation systems for websites and applications. This course provides information architects with the skills to create more engaging and informative user interfaces through data visualization. By teaching how to use D3.js to manipulate data and create interactive graphics, the course may help information architects integrate dynamic data displays into their designs. The course's coverage of D3 events for interactivity allows information architects to add tooltips and other interactive features that enhance user experience.
Instructional Designer
An instructional designer creates learning materials, such as online courses or training programs. They apply instructional design principles to ensure that the material is engaging, effective, and aligned with learning objectives. This course may be useful, as instructional designers can apply the skills learned in it to create more interactive and engaging learning experiences. The course provides instructional designers with the ability to create custom data visualizations using D3.js. These can be integrated into online courses to illustrate concepts, present data, and provide learners with interactive tools for exploration and analysis.

Reading list

We've selected two 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 Learn D3.JS Hands-on And The Simple Way.
Provides a comprehensive introduction to D3.js, covering the core concepts and techniques needed to create interactive data visualizations. It serves as an excellent companion to the course, offering detailed explanations and practical examples. The book is commonly used as a reference by both beginners and experienced D3.js developers. It adds depth to the course by providing alternative explanations and more in-depth examples.
Provides a practical, example-driven approach to learning D3.js. It covers a wide range of visualization techniques and real-world applications. It valuable resource for intermediate to advanced D3.js users. This book adds breadth to the course by showcasing a variety of visualization examples.

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