Information Visualization 专项课程

于 Aug 27 开始

Information Visualization 专项课程

Design, evaluate and develop data visualizations。Master the foundational principles and practice of information visualization

本专项课程介绍

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.

制作方:

courses
4 courses

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项目概览

课程
Beginner Specialization.
No prior experience required.
  1. 第 1 门课程

    Information Visualization: Foundations

    计划开课班次:Aug 27
    字幕
    English

    课程概述

    The main goal of this specialization is to provide the knowledge and practical skills necessary to develop a strong foundation on information visualization and to design and develop advanced applications for visual data analysis. This course aims at introd
  2. 第 2 门课程

    Information Visualization: Applied Perception

    当前班次:Aug 13
    字幕
    English

    课程概述

    This module aims at introducing fundamental concepts of visual perception applied to information visualization. These concepts help the student ideate and evaluate visualization designs in terms of how well they leverage the capabilities of the
  3. 第 3 门课程

    Information Visualization: Programming with D3.js

    当前班次:Aug 13
    字幕
    English

    课程概述

    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 some
  4. 第 4 门课程

    Information Visualization: Advanced Techniques

    于 September 3rd, 2018 开始
    字幕
    English

    课程概述

    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).

制作方

  • New York University Tandon School of Engineering

    New York University strives to be a quality international center of scholarship, teaching and research. As one of the nation's most respected institutions, NYU Tandon School of Engineering aligns with this mission.

    Tandon offers comprehensive courses in engineering, applied science and technology. Each course is rooted in a tradition of invention and entrepreneurship.

  • Enrico Bertini

    Enrico Bertini

    Associate Professor
  • Cristian Felix

    Cristian Felix

    PhD. Candidate

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