Master D3.js with Concepts & 25+ Projects

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Syllabus

Overview

This video will walk you through the overview of the course and the various modules that you would be learning. You will also get an idea about the type of projects that you would be building through this course

This video will mention : basic information points about one of D3's creators, how does D3 work with data, along with HTML,CSS,JS and SVG to create charts and graphs. Why use D3? When to use D3? Who can use D3?

This video talks about the basic requirements of HTML,CSS and Javascript, in order to benefit the most from this course

This video will explain the basic tools needed to follow the course and also work along with the course. You will also learn how to integrate the D3 library into the work set up

In this video, you will know the difference between the traditional co-ordinate system that is usually learnt in high school and the co-ordinate system that is used on the screen(display) while rendering the SVG based charts and graphs

In this video, you will know what is SVG, how does SVG work in the browser and as part of HTML, how to set up an SVG element and there by create a SVG area

In this video you will learn how to use a circle element and its attributes

In this video you will learn how to use a rect element and its attributes

In this video you will learn how to use a rect element and its attributes but to create a square

In this video you will learn how to use an ellipse element and its attributes

In this video you will learn how to use a line element and its attributes

In this video you will learn how to use a polygon element and its attributes

In this video you will learn how to use a polyline element and its attributes

In this video you will learn how to use a text element and its attributes

In this video you will learn how to use a path element and its attributes

In this video you will learn how to use the transform property on the SVG element. Also understand the different types of transformation

In this video you will learn how to use a group element and its benefits

In this video you will learn how to use a the viewBox attribute on the SVG element and there by configure the viewport of the SVG

In this video you will know a summary of all the SVG elements that can be used and the various attributes that can be used on the SVG elements

In this video we will create a simple bar chart using the SVG concepts and elements

In this video you will understand why we need D3 in order to create scalable/larger projects or applications using the 'Simple Bar Chart' as a reference

In this video you will learn how to use the select method

In this video you will learn how to use the selectAll method

In this video you will learn how to use the filter method

In this video you will learn how to use the merge method

In this video you will learn how to use the selectChild method

In this video you will learn how to use the selectChildren method

In this video you will learn how to create a project using the methods learnt under selecting elements

In this video you will learn how to use the attr method

In this video you will learn how to use the classed method

In this video you will learn how to use the style method

In this video you will learn how to use the property method

In this video you will learn how to use the text method

In this video you will learn how to use the append method

In this video you will learn how to use the html method

In this video you will learn how to use the insert method

In this video you will learn how to use the remove method

In this video you will learn how to use the clone method

In this video you will learn how to use the sort method

In this video you will learn how to use the raise method

In this video you will learn how to use the lower method

In this video you will learn how to create a project using the methods learnt as part of modifying elements

In this video you will learn how to use the data method

In this video you will learn how to use the datum method

In this video you will learn how to use the enter method

In this video you will learn how to use the exit method

In this video you will learn how to use the join method

In this video you will learn how to set up and use the key function inside the data method

In this video you will learn how to create a project using the methods learnt as part of joining data

In this video you will learn how to use the on method

In this video you will learn how to use the dispatch method

In this video you will learn how to use the pointer method

In this video you will learn how to use the pointers method

In this video you will learn how to create a project using the methods learnt as part of handling events

In this video you will learn how to use the each method

In this video you will learn how to use the call method

In this video you will learn how to use the empty method

In this video you will learn how to use the nodes method

In this video you will learn how to use the size method

In this video you will learn the concept of iterator

In this video you will learn how to create a project using the methods learnt as part of control flow

In this video you will learn how to create a project using the methods learnt across selections. Since selections is very important in order to get a good hold on D3.js

In this video you will learn how to create a linear scale and also learn how to use the different methods along with a linear scale

In this video you will learn how to create a project using the methods learnt as part of linear scale

In this video you will learn how to create a power scale and also learn how to use the different methods along with a power scale

In this video you will learn how to create a project using the methods learnt as part of power scale

In this video you will learn how to create a logarithmic scale and also learn how to use the different methods along with a logarithmic scale

In this video you will learn how to create an identity scale and also learn how to use the different methods along with an identity scale

In this video you will learn how to create a radial scale and also learn how to use the different methods along with a radial scale

In this video you will learn how to create a time scale and also learn how to use the different methods along with a time scale

In this video you will learn how to create a project using the methods learnt as part of time scale

In this video you will learn how to create a sequential scale and also learn how to use the different methods along with a sequential scale

In this video you will learn how to create a project using the methods learnt as part of sequential scale

In this video you will learn how to create a diverging scale and also learn how to use the different methods along with a diverging scale

In this video you will learn how to create a project using the methods learnt as part of diverging scale

In this video you will learn how to create a quantize scale and also learn how to use the different methods along with a quantize scale

In this video you will learn how to create a project using the methods learnt as part of quantize scale

In this video you will learn how to create a quantile scale and also learn how to use the different methods along with a quantile scale

In this video you will learn how to create a project using the methods learnt as part of quantile scale

In this video you will learn how to create a threshold scale and also learn how to use the different methods along with a threshold scale

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Begins with SVG, which is the foundation for creating charts and graphs using D3.js, ensuring a solid understanding of the underlying technology

Explores 12 modules of the D3.js library in a systematic manner, providing a comprehensive learning experience for mastering data visualization

Includes numerous projects after each module, reinforcing concepts and providing practical experience in building real-world data visualization applications

Requires a basic understanding of HTML, CSS, and JavaScript, which may pose a barrier to entry for individuals without prior web development experience

Covers various D3.js methods, such as select, selectAll, and filter, which are essential for manipulating and interacting with data-driven elements

Features hands-on projects that focus on scales, such as linear, power, and time scales, which are fundamental for mapping data to visual representations

Reviews summary

Comprehensive d3.js with practical projects

According to learners, this course offers a largely positive experience, particularly highlighting its extensive collection of 25+ projects which students found crucial for solidifying their understanding of D3. The instructor is generally praised for clear and thorough explanations. While comprehensive and long (~43 hours), providing a solid foundation starting with SVG basics, a few students noted that some code examples might require updates for newer D3 versions and felt the pace could be fast in certain sections. Overall, a valuable and practical course for mastering D3.

Instructor provides thorough explanations.

"The instructor is very clear and covers everything step-by-step."

"The instructor's explanations are thorough."

"Instructor is knowledgeable."

Hands-on projects are crucial for learning.

"The projects really solidified my understanding. The instructor is very clear..."

"Excellent course with lots of projects. I appreciated the depth..."

"The 25+ projects are extremely important to grasp the concepts."

"Fantastic practical course. The volume of projects helps learning stick."

Pace is fast for some concepts.

"Some parts felt a bit rushed..."

"the explanations for some complex D3 concepts were a bit dense. Had to rewatch sections."

Some examples may need updates.

"...the code examples sometimes needed minor tweaks for newer D3 versions."

"felt some parts of the course code were slightly outdated."

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 Master D3.js with Concepts & 25+ Projects | ~43 Hours with these activities:

Review SVG Fundamentals

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Reinforce your understanding of SVG elements and attributes, which are the foundation for creating visualizations with D3.js.

Browse courses on SVG

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Review SVG syntax and basic shapes.
Practice creating simple SVG graphics.
Experiment with SVG attributes and transformations.

Brush up on JavaScript

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Strengthen your JavaScript skills, as D3.js relies heavily on JavaScript for data manipulation and DOM manipulation.

Browse courses on JavaScript

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Review JavaScript fundamentals (variables, functions, objects).
Practice working with arrays and data structures.
Familiarize yourself with DOM manipulation techniques.

Interactive Data Visualization for the Web, 2nd Edition

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Supplement your learning with a comprehensive guide to D3.js, providing in-depth explanations and practical examples.

View Interactive Data Visualization for the Web: An... on Amazon

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Read the chapters relevant to the current module.
Work through the examples provided in the book.
Experiment with the code and modify it to create your own visualizations.

Four other activities

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Replicate D3.js Examples

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Solidify your understanding of D3.js methods by replicating examples from the D3.js documentation or online tutorials.

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Choose a D3.js example to replicate.
Analyze the code and understand its functionality.
Write the code from scratch and compare it to the original example.
Debug and refine your code until it matches the original example.

Personal Data Dashboard

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Apply your D3.js skills by creating a personal data dashboard that visualizes data from your own life (e.g., fitness data, financial data, social media activity).

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Identify a data source and collect relevant data.
Design the layout and choose appropriate visualizations.
Implement the dashboard using D3.js.
Add interactive elements and refine the user experience.

D3.js Tutorial Blog Post

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Reinforce your learning by creating a blog post or tutorial explaining a specific D3.js concept or technique.

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Choose a D3.js topic to explain.
Research the topic and gather relevant information.
Write a clear and concise explanation of the topic.
Include code examples and visualizations to illustrate the concept.
Publish your blog post or tutorial online.

Contribute to a D3.js Project

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Deepen your understanding of D3.js by contributing to an open-source D3.js project on GitHub.

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Find a D3.js project on GitHub that interests you.
Review the project's documentation and code.
Identify a bug or feature to work on.
Submit a pull request with your changes.

Career center

Learners who complete Master D3.js with Concepts & 25+ Projects | ~43 Hours will develop knowledge and skills that may be useful to these careers:

Data Visualization Engineer

A data visualization engineer is responsible for designing, developing, and implementing interactive data dashboards and visualizations. This role requires a strong understanding of data visualization principles and proficiency in tools and libraries like d3.js. By starting with the basics of SVG and systematically covering d3.js modules, this course can help you build a solid foundation. The numerous projects in this course may provide hands-on experience in building real-world data visualization applications, which can be directly applicable to the work of a data visualization engineer.

See salaries and explore the career path for Data Visualization Engineer

Interactive Journalist

Interactive journalists use digital tools to tell stories in engaging and informative ways. Data visualization is a key component of this, allowing them to present data-driven narratives. This course emphasizes a step-by-step mastery of the d3 library, which is essential for creating custom, interactive graphics for the web. The course's focus on practical projects and real-world applications makes it valuable for interactive journalists looking to enhance their storytelling abilities.

See salaries and explore the career path for Interactive Journalist

Data Storyteller

Data storytellers weave narratives around data, presenting insights in a compelling and accessible way. Visualizations are critical to this process, helping to illustrate trends and patterns. The course may be useful for data storytellers because of its comprehensive approach to d3.js. The course covers SVG and provides hands-on experience with various d3.js modules, ultimately enabling a data storyteller to create effective and engaging visual narratives.

See salaries and explore the career path for Data Storyteller

Web Application Developer

Web application developers build interactive web applications, including those that display data in visual formats. D3.js can be a valuable tool for creating custom charts and graphs within these applications. This course's comprehensive approach to D3.js, starting with SVG and moving through various modules with hands-on projects, may help web application developers create rich and data-driven user experiences.

See salaries and explore the career path for Web Application Developer

Front-End Developer

Front end developers implement visual elements and user interactions for websites and web applications. Often, this includes integrating data visualizations to enhance the user experience. This course may be useful, as it builds skills in d3.js, a powerful library for creating dynamic and interactive graphics in the browser. The course covers SVG, the building block of charts, and provides hands-on experience with various d3.js modules, which will help a front end developer create compelling data-driven interfaces.

See salaries and explore the career path for Front-End Developer

User Interface Developer

User interface developers are responsible for designing and implementing user interfaces (UI) for software applications and websites. Often, this includes creating interactive data visualizations to present information effectively. This course may be useful, as it covers d3.js, a library for creating dynamic and interactive graphics. The course starts with SVG basics and progresses through d3.js modules, offering hands-on experience that helps UI developers build data-rich and engaging interfaces.

See salaries and explore the career path for User Interface Developer

Software Engineer

Software engineers design, develop, and test software applications. In many cases, these applications require data visualization components to display information effectively. This course’s emphasis on building a step-by-step approach towards mastering the d3 library makes it a potentially useful resource. The course covers the basics of SVG and systematically explores d3.js modules with hands-on projects, which may enable software engineers to integrate advanced data visualization capabilities into their projects.

See salaries and explore the career path for Software Engineer

User Experience Designer

User experience designers focus on improving the usability and accessibility of websites and applications. This often involves incorporating data visualizations to help users understand complex information. This course may be useful, as it covers d3.js, a library for creating interactive graphics. The course’s hands-on projects and coverage of UI/UX considerations may enable user experience designers to create data-driven designs.

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Business Intelligence Developer

Business intelligence developers design and develop systems for collecting, storing, and analyzing business data. A key part of this role is presenting data in a clear and understandable way, often through dashboards and reports. This course may be useful, as it provides a comprehensive introduction to d3.js, a library for creating interactive data visualizations. The course's emphasis on hands-on projects and real-world applications may enable business intelligence developers to create compelling dashboards and reports.

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Data Scientist

Data scientists use statistical methods and machine learning to analyze data and solve complex problems. Visualizing data is a crucial part of the data science process, both for exploration and for communicating findings. This course may be useful, as it teaches d3.js, which enables data scientists to create customized and interactive visualizations. The course's hands-on projects and real-world examples may allow data scientists to effectively present their insights.

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Information Architect

Information architects organize and structure information to make it easy to find, understand, and use. In many cases, this involves designing data visualizations to present complex information in a clear and concise manner. This course may be useful, as it covers d3.js, a library for creating interactive graphics. The course’s hands-on projects and coverage of SVG fundamentals help information architects build skills in presenting data effectively.

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Data Analyst

Data analysts examine data to identify trends, answer questions, and provide insights. While they often use tools like Excel and SQL, the ability to create custom data visualizations can greatly enhance their reports and presentations. This course may be useful, as it teaches d3.js, a library for creating interactive graphics. The course covers SVG fundamentals and offers hands-on experience building data visualizations, helping data analysts communicate their findings more effectively.

See salaries and explore the career path for Data Analyst

Digital Marketing Analyst

Digital marketing analysts track and analyze the performance of digital marketing campaigns. Visualizing data is essential for understanding trends and making data-driven decisions. This course may be useful, as it teaches d3.js, a library for creating customized and interactive visualizations. The course’s hands-on projects and real-world examples will enable digital marketing analysts to present campaign performance effectively.

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Research Scientist

Research scientists conduct experiments and analyze data to advance knowledge in their field. Visualizing data is an important part of this process, both for exploring data and for presenting findings in publications and presentations. This course may be useful for research scientists because the course teaches d3.js, a library for creating customized and interactive visualizations. The course’s hands-on projects may enable them to communicate their research effectively.

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Instructional Designer

Instructional designers create learning experiences, including online courses and training materials. Data visualization can be a powerful tool for illustrating concepts and engaging learners. This course may be useful for instructional designers, as it teaches d3.js, a library for creating interactive graphics. The course covers SVG fundamentals and offers hands-on experience building data visualizations, ultimately helping instructional designers create compelling learning resources.

See salaries and explore the career path for Instructional Designer

Master D3.js with Concepts & 25+ Projects

~43 Hours

What's inside

Syllabus

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Reviews summary

Comprehensive d3.js with practical projects

Activities

Career center

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