This course is part of the Information Visualization Specialization

4.8
stars
33 ratings

Enrico Bertini +1 more instructor

4,049 already enrolled

Offered By

Information Visualization SpecializationNew York University

About this Course

3,433 recent views

This course aims to introduce learners to advanced visualization techniques beyond the basic charts covered in Information Visualization: Fundamentals. These techniques are organized around data types to cover advance methods for: temporal and spatial data, networks and trees and textual data. In this module we also teach learners how to develop innovative techniques in D3.js.
Learning Goals
Goal: Analyze the design space of visualization solutions for various kinds of data visualization problems. Learn what designs are available for a given problem and what are their respective advantages and disadvantages.
- Temporal
- Spatial
- Spatio-Temporal
- Networks
- Trees
- Text

This is the fourth course in the Information Visualization Specialization. The course expects you to have some basic knowledge of programming as well as some basic visualization skills (as those introduced in the first course of the specialization).

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 4 of 4 in the

Information Visualization Specialization

Intermediate Level

Approx. 15 hours to complete

English

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

Try Coursera for Business

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 4 of 4 in the

Information Visualization Specialization

Intermediate Level

Approx. 15 hours to complete

English

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

Try Coursera for Business

Instructors

Instructor rating

4.75/5 (8 Ratings)

Enrico Bertini

Associate Professor

Computer Science and Engineering

21,727 Learners

4 Courses

Cristian Felix

PhD. Candidate

Computer Science and Engineering

21,727 Learners

4 Courses

Offered by

New York University

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

Syllabus - What you will learn from this course

Week1

Week 1

4 hours to complete

Visualizing Geographical Data

4 hours to complete

18 videos (Total 116 min), 1 reading, 1 quiz

18 videos

Introduction to Specialization6mWhat is Geographical Data?8mWhen / Why Use a Map?10mMaps are Not Always the Best or Only Solution!7mDot Maps2mHeat Maps8mHexbin Maps3mChoropleth Maps9mGraduated Symbol Maps10mCommon Issues With Maps2mInsensitivity To Sample Size4mSkewed Spatial Distributions6mPerceptual Issues4mMap Projections6mInterference from Map Features4mVisualizing Maps + Time9mFaceting / Small Multiples4mRecapitulation5m

1 reading

Ballot Maps Project and Choropleth Maps1h 10m

Week2

Week 2

3 hours to complete

Visualizing Network Data

3 hours to complete

18 videos (Total 101 min), 1 reading, 1 quiz

18 videos

Tabular Data5mHow do you visualize network data?5mAdditional Attributes7mNode-Link Diagrams6mEdge Bundling5mFixed Layout: Spatial3mClutter Reduction Methods4mMatrices7mPart 2 Trees (Hierarchies)4mNode-Link Trees5mSpecial Kind of Trees6mDecision Trees4mTrees: Space-Partitioning and Containment Methods6mArea: Quantity5mProblem with “Slice-and-Dice” Layout5mTreemap Advantages/ Disadvantages3mSunburst and Icicle Plots4mSummary and Observations9m

1 reading

Network Visualization Projects40m

Week3

Week 3

3 hours to complete

Visualizing Temporal Data

3 hours to complete

14 videos (Total 66 min), 1 reading, 1 quiz

14 videos

Visualizing Temporal Data5mTemporal Information5mHierarchical Structure / Resolution4mVisualization Methods5mSmall Multiple Line Charts and Area Charts6mEffect of “Aspect Ratio” on Line Charts2mBeyond Line Charts3mSimilar Design Works3mHow do you Visualize Event Data When Events Have a Duration?3mVisualizing Periodic Phenomena4mRadial Layouts5mIncreasing Visual Scalability of Timelines6mBeyond Using Position3mRecapitulation6m

1 reading

Visualizing Time Series1h 10m

Week4

Week 4

5 hours to complete

Interaction and Multiple Views

5 hours to complete

22 videos (Total 136 min), 1 reading, 1 quiz

22 videos

Interaction & Multiple Views7mInformation Visualization Pipeline7mWhy Manipulate Visualizations?3mSingle / Multiple Views2mSelection4mSelect → Highlight5mSelect → Show More Information and Select → Apply Operation2mNavigation5mSpatial Arrangement2mDemo Using “LineUp”4mVideo Demo of “Bertifier”5mChange Mapping5mAggregation4mFiltering5mMultiple Linked Views5mShow Different Properties of the Same Data Simultaneously3mExamples6mScenarios and Patterns5mScenario 22mScenario 37mSummary6mInterview with Manuel Lima32m

1 reading

The Value of Interaction2h

Reviews

4.8

12 reviews

5 stars
81.81%
4 stars
15.15%
2 stars
3.03%

TOP REVIEWS FROM INFORMATION VISUALIZATION: ADVANCED TECHNIQUES

by VSJun 14, 2020

Great course, good content, and good assignments to top it all off.

by TANov 14, 2018

Excellent course; the topics discussed here are essential for learning about complex / multi-faceted data visualisations.

by AASep 8, 2019

great course. helped me understand the concepts involved in a 'scientific' rather than 'art'.

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.

Build employee skills, drive business results

Discover Coursera for Business

Information Visualization: Advanced Techniques

About this Course