This course is part of the Information Visualization Specialization

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169 ratings

Enrico Bertini +1 more instructor

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Offered By

Information Visualization SpecializationNew York University

About this Course

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In this course you will learn how to use D3.js to create powerful visualizations for web. Learning D3.js will enable you to create many different types of visualization and to visualize many different data types. It will give you the freedom to create something as simple as a bar chart as well your own new revolutionary technique. 
In this course we will cover the basics of creating visualizations with D3 as well as how to deal with tabular data, geography and networks. By the end of this course you will be able to:

- Create bar and line charts
- Create choropleth and symbol maps
- Create node-link diagrams and tree maps
- Implement zooming and brushing
- Link two or more views through interaction

The course mixes theoretical and practical lectures. We will show you step by step how to use the library to build actual visualizations and what theoretical concepts lie behind them. Throughout the course you will learn skills that will lead you to building a whole application by the end of the lectures (a fully working visualization system to visualize airlines routes).

This course is the third one of the “Specialization in Information Visualization". The course expects you to have some basic knowledge of programming as well as some basic visualization skills.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

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Course 3 of 4 in the

Information Visualization Specialization

Beginner Level

Approx. 18 hours to complete

English

Subtitles: English

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Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Course 3 of 4 in the

Information Visualization Specialization

Beginner Level

Approx. 18 hours to complete

English

Subtitles: English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business

Instructors

Instructor rating

4.16/5 (29 Ratings)

Enrico Bertini

Associate Professor

Computer Science and Engineering

20,391 Learners

4 Courses

Cristian Felix

PhD. Candidate

Computer Science and Engineering

20,391 Learners

4 Courses

Offered by

New York University

New York University is a leading global institution for scholarship, teaching, and research. Based in New York City with campuses and sites in 14 additional major cities across the world, NYU embraces diversity among faculty, staff and students to ensure the highest caliber, most inclusive educational experience.

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Syllabus - What you will learn from this course

Week

Week 1

5 hours to complete

Introduction to web and d3

In this module we will focus on the basics of web development and d3.js

5 hours to complete

21 videos (Total 123 min)

21 videos

Introduction to Specialization6m

Welcome to the Course7m

Intro to the Week 11m

Introduction to HTML4m

Practice: Introduction to HTML7m

Introduction to CSS4m

Practice: Introduction to CSS8m

Introduction to Javascript8m

Javascript - Control Structures4m

Practice: Introduction to Javascript9m

Practice: Javascript - Control Structures5m

Introduction to D35m

D3 Selections3m

Practice: D3 Selections4m

Changing Content3m

Practice: Changing Content5m

Adding and Removing Elements3m

Practice: Adding and Removing Elements6m

Changing Properties2m

Practice: Changing Properties7m

Setting up the environment11m

1 practice exercise

Introduction to Web Development and d3.js16m

Week

Week 2

4 hours to complete

Dealing & drawing with data

In this week we will learn how can we load and manipulate data using d3.js

4 hours to complete

19 videos (Total 113 min)

19 videos

Intro: Week 22m

Loading Data3m

Practice: Loading Data5m

Filtering and Sorting4m

Practice: Filtering and Sorting7m

Transforming Data4m

Practice: Transforming Data7m

Computing Simple Statistics4m

Practice: Computing Simple Statistics4m

SVG5m

Practice: SVG7m

Binding Data5m

Practice: Binding Data8m

Numeric Scales7m

Practice: Numeric Scales6m

Ordinal Scales5m

Practice: Ordinal Scales8m

Adding Axes Annotations5m

Practice: Adding Annotations7m

1 practice exercise

Dealing & drawing with data20m

Week

Week 3

4 hours to complete

Lines, Arcs, and maps

4 hours to complete

14 videos (Total 90 min)

Week

Week 4

4 hours to complete

Layouts and interaction

4 hours to complete

18 videos (Total 143 min)

18 videos

Week 4: Intro3m

Visualizing Networks8m

Practice: Visualizing Networks Part 17m

Practice: Visualizing Networks Part 28m

Hierarchical Data7m

Practice: Tree Map Part 16m

Practice: Tree Map Part 29m

Listening to Events8m

Practice: Listening to Events13m

Updating Data7m

Practice: Updating Data9m

Brushing5m

Practice: Brushing10m

Zoom5m

Practice: Zoom9m

Practice: Creating Tooltips9m

Practice: Creating Linked Views11m

Conclusion54s

2 practice exercises

Layouts and Interaction20m

Airlines Routes Project - Final Quiz30m

Reviews

4.5

57 reviews

5 stars
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4 stars
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3 stars
6.43%
2 stars
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1 star
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TOP REVIEWS FROM INFORMATION VISUALIZATION: PROGRAMMING WITH D3.JS

by SYFeb 5, 2019

Wonderful course! It gives you basic knowledge about D3.js. Highly recommend!

by MJMar 13, 2019

Great course. Include more advanced examples of d3

by KPMar 1, 2020

Really easy to understand and follow video lectures and instructions in the assignment. Helpful course structure for beginners in d3.js

by TPJan 25, 2020

Fantastic introduction by an excellent tutor! Tough, challenging, exhilarating all at the same time.

View all reviews

About the Information Visualization Specialization

This specialization provides learners with the necessary knowledge and practical skills to develop a strong foundation in information visualization and to design and develop advanced applications for visual data analysis.

The specialization is characterized by two main complementary features: (1) providing a strong understanding of visual perception and the theory of visual encoding to design and evaluate innovative visualization methods; (2) providing the necessary skills to develop advanced web-based applications for visual data analysis. The specialization is organized around four courses that cover fundamentals, applied perception, advanced visualization method and interactive visualization. The specialization is meant to prepare students to work on complex data science projects that require the development of interactive visual interfaces for data analysis. The courses can also be taken individually to improve relevant skills in visualization. For instance, the course on applied perception provides unique skills to evaluate and design innovative visualization in all sorts of scenarios.

Frequently Asked Questions

When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

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Information Visualization: Programming with D3.js

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