課程信息
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第 1 門課程(共 4 門)

100% 在線

立即開始,按照自己的計劃學習。

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初級

完成時間大約為19 小時

建議:5 hours/week...

英語(English)

字幕:英語(English), 阿拉伯語(Arabic)
User
學習Course的學生是
  • Data Scientists
  • Scientists
  • Data Analysts
  • Designers
  • UI/UX Designers
User
學習Course的學生是
  • Data Scientists
  • Scientists
  • Data Analysts
  • Designers
  • UI/UX Designers

第 1 門課程(共 4 門)

100% 在線

立即開始,按照自己的計劃學習。

可靈活調整截止日期

根據您的日程表重置截止日期。

初級

完成時間大約為19 小時

建議:5 hours/week...

英語(English)

字幕:英語(English), 阿拉伯語(Arabic)

教學大綱 - 您將從這門課程中學到什麼

1
完成時間為 2 小時

Introduction to Information Visualization

20 個視頻 (總計 70 分鐘), 1 個閱讀材料, 2 個測驗
20 個視頻
Introduction to the Course1分鐘
Information Visualization Definition1分鐘
Visualization Example: Introductory Demo with Tableau2分鐘
Key Concepts and Definitions51
The InfoVis pipeline (Diagram of Data Visualization Process)1分鐘
Key Concept: Computer Based Graphical Representations and Visualizing Abstract Data3分鐘
Key Concept: Interactivity1分鐘
Key Concept: Amplifying Cognition6分鐘
Example of Amplifying Cognition: "The Game of 15"3分鐘
Why Visualize Data?2分鐘
Why Use Visualization?3分鐘
Example of Explanatory Visualization4分鐘
Examples of Exploratory and Confirmatory Visualization6分鐘
Examples of Explanatory Visualizations and Tools3分鐘
Why Use a Graphical Representation?5分鐘
Problems with Summary Statistics2分鐘
Why Use Computers to Visualize Data?2分鐘
Why Use Interaction?2分鐘
Assessing the Quality of a Visualization6分鐘
1 個閱讀材料
A Tour Through the Visualization Zoo30分鐘
2 個練習
What is Information Visualization20分鐘
A Tour through the Visualization Zoo10分鐘
2
完成時間為 3 小時

Data Abstraction

9 個視頻 (總計 56 分鐘), 2 個測驗
9 個視頻
What is Data Abstraction?7分鐘
Dataset Types: Tables and Networks5分鐘
Attribute Types5分鐘
Attribute Semantics7分鐘
Example for Attribute Types and Semantics5分鐘
Data Abstraction to Visualization8分鐘
Data Profiling5分鐘
Quick Recap2分鐘
2 個練習
Data Abstraction20分鐘
Identifying Attribute Types1 小時 20 分
3
完成時間為 4 小時

Fundamental Graphs and Data Transformation

11 個視頻 (總計 64 分鐘), 2 個閱讀材料, 1 個測驗
11 個視頻
How to Visualize?3分鐘
Fundamental Graphs9分鐘
Alternate Representations Part 111分鐘
Alternate Representations Part 26分鐘
Going Beyond Two Attributes6分鐘
Scatter Plots + Faceting4分鐘
Data Transformation6分鐘
Common / Useful Data Transformations - Part 14分鐘
Common / Useful Data Transformations - Part 25分鐘
Summary3分鐘
2 個閱讀材料
Tutorial: The Tableau Interface10分鐘
Tutorial: Getting Started with Tableau25分鐘
4
完成時間為 3 小時

Graphical Components and Mapping Strategies

18 個視頻 (總計 105 分鐘), 1 個閱讀材料, 1 個測驗
18 個視頻
Marks + Channels1分鐘
Marks5分鐘
Channels, Part 16分鐘
Channels, Part 27分鐘
Examples for Graphical Components3分鐘
Graphical "Decoding"8分鐘
Quality of visual encoding: Expressiveness Principle7分鐘
Quality of Visual Encoding: Effectiveness Principle, Part 110分鐘
Quality of Visual Encoding: Effectiveness Principle, Part 24分鐘
Evaluate Visualizations8分鐘
Using the Principles to Design Visualization4分鐘
Contextual Components: Legends, Labels, and Annotations4分鐘
Annotations5分鐘
Contextual Components: Axes, Grids, Reference Lines7分鐘
Quick Summary4分鐘
Conclusion1分鐘
Interview with Moritz Stefaner7分鐘
1 個閱讀材料
Evaluation of Artery Visualizations for Heart Disease Diagnosis30分鐘
4.7
18 個審閱Chevron Right

50%

完成這些課程後已開始新的職業生涯

50%

通過此課程獲得實實在在的工作福利

來自Information Visualization: Foundations的熱門評論

創建者 EMJun 24th 2019

Great intro to basics about information visualization. Would be a bit better if after doing the assessments the correct answers were provided as a guide to the peer review.

創建者 RHOct 29th 2018

Great course! Not too complicated and covers fundamental topics about visual encoding and decoding.\n\nThe explanation is clear and concise.\n\nThank you Professor Enrico!

講師

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Enrico Bertini

Associate Professor
Computer Science and Engineering
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Cristian Felix

PhD. Candidate
Computer Science and Engineering

關於 纽约大学坦登工程学院

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

關於 信息可视化 專項課程

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....
信息可视化

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