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

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Master D3.js with Concepts & 25+ Projects | ~43 Hours, available at $64.99, has an average rating of 4.65, with 117 lectures, based on 142 reviews, and has 1471 subscribers.

You will learn about Understand the basics (behind the scenes) about D3 and know how D3 goes about doing its job Start from the fundamentals of SVG, that forms the main aspect of creating D3 based charts and graphs Gain a wide range of exposure towards charts & graphs (vertical bar, horizontal bar, bubble, stacked, grouped, scatter plots, line, area, radial, pie, donut) Work with D3 objects to build a deeper understanding of the library Learn 12 core modules that can help you build a majority of chart and graph types Learn more than 100 different methods(functions) from 12 different modules (also called as micro-libraries) Build more than 25 different projects with 22 unique projects Build 22 unique projects that do not repeat the data or the visual representation Learn how to conceptualise the chart creation process through the projects Work with data from the real world, while creating the projects Learn about adding interactivity and animation to the charts and graphs Prepare yourself to take up large scale personal or professional challenges/needs Strengthen your position as a data visualisation person in the field of analysis, consulting, analytics or data science This course is ideal for individuals who are Developers, Engineers, Analysts, Researchers, Academicians, Scientists, Designers or Illustrators that are looking to creating amazing data visualisations or Anyone looking for a step by step approach of using the D3 library or Anyone who is looking to understand how data visualisation happens in the web or Anyone looking to gain confidence in using D3 and build any type of charts or graphs that are present in the real world It is particularly useful for Developers, Engineers, Analysts, Researchers, Academicians, Scientists, Designers or Illustrators that are looking to creating amazing data visualisations or Anyone looking for a step by step approach of using the D3 library or Anyone who is looking to understand how data visualisation happens in the web or Anyone looking to gain confidence in using D3 and build any type of charts or graphs that are present in the real world.

Enroll now: Master D3.js with Concepts & 25+ Projects | ~43 Hours

Summary

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

Price: $64.99

Average Rating: 4.65

Number of Lectures: 117

Number of Published Lectures: 117

Number of Curriculum Items: 117

Number of Published Curriculum Objects: 117

Original Price: ₹7,500

Quality Status: approved

Status: Live

What You Will Learn

  • Understand the basics (behind the scenes) about D3 and know how D3 goes about doing its job
  • Start from the fundamentals of SVG, that forms the main aspect of creating D3 based charts and graphs
  • Gain a wide range of exposure towards charts & graphs (vertical bar, horizontal bar, bubble, stacked, grouped, scatter plots, line, area, radial, pie, donut)
  • Work with D3 objects to build a deeper understanding of the library
  • Learn 12 core modules that can help you build a majority of chart and graph types
  • Learn more than 100 different methods(functions) from 12 different modules (also called as micro-libraries)
  • Build more than 25 different projects with 22 unique projects
  • Build 22 unique projects that do not repeat the data or the visual representation
  • Learn how to conceptualise the chart creation process through the projects
  • Work with data from the real world, while creating the projects
  • Learn about adding interactivity and animation to the charts and graphs
  • Prepare yourself to take up large scale personal or professional challenges/needs
  • Strengthen your position as a data visualisation person in the field of analysis, consulting, analytics or data science

Who Should Attend

  • Developers, Engineers, Analysts, Researchers, Academicians, Scientists, Designers or Illustrators that are looking to creating amazing data visualisations
  • Anyone looking for a step by step approach of using the D3 library
  • Anyone who is looking to understand how data visualisation happens in the web
  • Anyone looking to gain confidence in using D3 and build any type of charts or graphs that are present in the real world

Target Audiences

  • Developers, Engineers, Analysts, Researchers, Academicians, Scientists, Designers or Illustrators that are looking to creating amazing data visualisations
  • Anyone looking for a step by step approach of using the D3 library
  • Anyone who is looking to understand how data visualisation happens in the web
  • Anyone looking to gain confidence in using D3 and build any type of charts or graphs that are present in the real world

This is a course that aims to build a step-by-step approach towards mastering the d3 library.

  1. d3.js is a data visualisation library for the web browser.

  2. The course starts with the basics of SVG, the building block of charts and graphs (d3.js library makes use of SVG elements to represent the data in a graphical format in the web browser).

  3. Then you will enter the world of d3.js to understand the first principles of using the library.

  4. You will go through 12 important modules of the library one after the other in a systematic manner.

  5. Each module is made up of several methods, and the methods are explained in detail with the help of code and the output seen via the browser console.

  6. After the completion of each module you will be doing a project, and in some cases more than a project per module.

  7. The projects give a sense of building real world applications and strengthen the concepts learnt.

  8. The projects also helps you use different types of data and create nice UI/UX.

  9. This is a comprehensive course for you to progress in the domain of data visualisation.

  10. This course will gear you to build large scale and complex applications either in your personal or professional areas.

Course Curriculum

Chapter 1: Overview

Lecture 1: What to expect from this course?

Chapter 2: About D3

Lecture 1: Introduction To D3.js Library

Chapter 3: Being Prepared

Lecture 1: Pre Requisites For This Course

Chapter 4: Set Up

Lecture 1: Working Environment

Chapter 5: Github Repo

Lecture 1: Github repo for the entire course

Chapter 6: The Co-ordinate Systems

Lecture 1: Traditional System And Screen System Of Creating/Rendering Charts And Graphs

Chapter 7: Starting With SVG (Scalable Vector Graphics)

Lecture 1: Concept Of SVG And SVG Element

Lecture 2: Circle Element

Lecture 3: Rect Element

Lecture 4: Rect Element: Square

Lecture 5: Ellipse Element

Lecture 6: Line Element

Lecture 7: Polygon Element

Lecture 8: Polyline Element

Lecture 9: Text Element

Lecture 10: Path Element

Lecture 11: Transform Property

Lecture 12: Group Element

Lecture 13: SVG Viewport

Lecture 14: SVG Closing Notes

Lecture 15: Simple Bar Chart

Lecture 16: Entering D3

Chapter 8: Selecting Elements

Lecture 1: Select Method

Lecture 2: SelectAll Method

Lecture 3: Filter Method

Lecture 4: Merge Method

Lecture 5: SelectChild Method

Lecture 6: SelectChildren Method

Lecture 7: PROJECT: Coloring Elements

Chapter 9: Modifying Elements

Lecture 1: Attr Method

Lecture 2: Classed Method

Lecture 3: Style Method

Lecture 4: Property Method

Lecture 5: Text Method

Lecture 6: Append Method

Lecture 7: Html Method

Lecture 8: Insert Method

Lecture 9: Remove Method

Lecture 10: Clone Method

Lecture 11: Sort Method

Lecture 12: Raise Method

Lecture 13: Lower Method

Lecture 14: PROJECT: IMDB Ratings

Chapter 10: Joining Data

Lecture 1: Data Method

Lecture 2: Datum Method

Lecture 3: Enter Method

Lecture 4: Exit Method

Lecture 5: Join Method

Lecture 6: Key Function

Lecture 7: PROJECT: Planets

Chapter 11: Handling Events

Lecture 1: On Method

Lecture 2: Dispatch Method

Lecture 3: Pointer Method

Lecture 4: Pointers Method

Lecture 5: PROJECT: Ford

Chapter 12: Control Flow

Lecture 1: Each Method

Lecture 2: Call Method

Lecture 3: Empty Method

Lecture 4: Nodes Method

Lecture 5: Size Method

Lecture 6: Iterator

Lecture 7: PROJECT: Caloric Ratio

Chapter 13: PROJECT

Lecture 1: PROJECT: Top 9 Indian IT Companies

Chapter 14: Continuous Scales

Lecture 1: Linear Scale

Lecture 2: PROJECT: Population Density

Lecture 3: Power Scale

Lecture 4: PROJECT: Vehicle Depreciation

Lecture 5: Logarithmic Scale

Lecture 6: Identity Scale

Lecture 7: Radial Scale

Lecture 8: Time Scale

Lecture 9: PROJECT: San Francisco Temperatures

Chapter 15: Sequential Scales

Lecture 1: Sequential Scale

Lecture 2: PROJECT: Cement Color

Chapter 16: Diverging Scales

Lecture 1: Diverging Scale

Lecture 2: PROJECT: Cement Color

Chapter 17: Quantize Scales

Lecture 1: Quantize Scale

Lecture 2: PROJECT: FitBit Revenues

Chapter 18: Quantile Scales

Lecture 1: Quantile Scale

Lecture 2: PROJECT: Air Quality

Chapter 19: Threshold Scales

Lecture 1: Threshold Scale

Instructors

Rating Distribution

  • 1 stars: 2 votes
  • 2 stars: 0 votes
  • 3 stars: 17 votes
  • 4 stars: 48 votes
  • 5 stars: 75 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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