About this Course
45,285

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

탄력적인 마감일

일정에 따라 마감일을 재설정합니다.

초급 단계

Comfortable working with data and datasets.

완료하는 데 약 14시간 필요

권장: 4 weeks of study, 5-7 hours/week...

영어

자막: 영어

배울 내용

  • Check

    Examine and improve an ineffective visualization

  • Check

    Examine and improve an ineffective visualization

  • Check

    Apply visualization best practices

  • Check

    Create and design visualizations that work best for the target audience

귀하가 습득할 기술

Data AnalysisTableau SoftwareData VirtualizationData Visualization (DataViz)

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

탄력적인 마감일

일정에 따라 마감일을 재설정합니다.

초급 단계

Comfortable working with data and datasets.

완료하는 데 약 14시간 필요

권장: 4 weeks of study, 5-7 hours/week...

영어

자막: 영어

강의 계획 - 이 강좌에서 배울 내용

1
완료하는 데 3시간 필요

Getting Started in Effective and Ineffective Visuals

Welcome to this first module where we are going to start you off with background information about how the human brain perceives the world and then you will discover effective and ineffective visuals. By the end of this module, you will be able to recognize how the brain relates to visual design. You will know the difference between cognitive versus perceptual design. You will learn the various visualization options offered by Tableau and some of their advantages and disadvantages. You will discuss why how good ethical practices play in designing visualizations. You will also start to examine ineffective visualizations and learn how to improve them....
8 videos (Total 50 min), 1 reading, 2 quizzes
8개의 동영상
The Human Brain and Data Visualization5m
Cognitive vs Perceptual Design Distinction4m
Introduction of Effective and Ineffective Visuals1m
Types of Visualizations5m
Examples of the Types of Visualizations in Tableau12m
Practicing Good Ethics in Data Visualization9m
Ineffective Visuals and How to Improve Them7m
1개의 읽기 자료
Tableau Desktop vs. Tableau Public1m
1개 연습문제
Module 1 Quiz30m
2
완료하는 데 3시간 필요

Visual Perception and Cognitive Load

Welcome to this second module. This module will explore specific data visualization concepts that apply the concepts you learned about how the human brain works from the last module. In this module, you will be able to define cognitive load and what clutter means from a visualization perspective. You will be able to visually illustrate the principles of visual perception and use contrast to enhance your visualizations. You will be able to define and use pre-attentive attributes like color to make effective visualizations....
7 videos (Total 47 min), 1 quiz
7개의 동영상
Cognitive Load and Clutter8m
Principles of Visual Perception4m
Strategic Use of Contrast10m
Pre-Attentive Attributes of Visualizations4m
Color as a Pre-Attentive Attribute9m
De-Cluttering Exercise7m
1개 연습문제
Module 2 Quiz45m
3
완료하는 데 2시간 필요

Design Best Practices and Exploratory Analysis

In this module, we revisit some of the concepts introduced from the previous module. You will be able to apply Gestalt Principles and leverage pre-attentive attributes in your visualizations. You will examine the role of accessibility and aesthetics play in your creations. Also, you will be able to define the ideas of exploratory and explanatory analysis and be able to normalize your data and identify outliers. Finally, you will be introduced to a challenging concept and construct a control chart to set you up to perform more advanced exploratory analysis....
10 videos (Total 70 min), 2 readings, 1 quiz
10개의 동영상
Gestalt Principle: Proximity6m
Leveraging Pre-Attentive Attributes10m
Accessible Visualizations11m
Aesthetics7m
Design and Exploratory Analysis Introduction1m
What is Exploratory and Explanatory Analysis?2m
Case Study: Anscombe's Quartet10m
Identifying Outliers8m
Constructing a Control Chart8m
2개의 읽기 자료
Missed Opportunities and Graphical Fails10m
The Challenger: An Information Disaster10m
1개 연습문제
Module 3 Quiz28m
4
완료하는 데 5시간 필요

Design for Understanding

Making sense of large, multi-dimensional data sets can be a challenge for anyone. Your task as a designer is to make good decisions about encoding, arranging, and presenting data to reveal meaningful patterns and stories for your audiences. After completing this module, you will be able to design your visualizations for a target audience and with purpose. You will be able to identify the connection to between data, relationships and good visual design. You will implement additional design tools and tips into your visualizations. ...
9 videos (Total 54 min), 2 readings, 2 quizzes
9개의 동영상
Know Your Audience(s)5m
Design For Purpose7m
Data, Relationships, and Design5m
Static Versus Interactive Visualizations8m
Multiple, Connected View4m
Language, Labeling, and Scales5m
Visual Lies and Cognitive Bias11m
Final Thoughts1m
2개의 읽기 자료
Blogs and Articles About Data Visualization
Selected Books About Data Visualization, Data Analysis, and Perception/Cognition30m
1개 연습문제
Module 4 Quiz28m
4.5
128개의 리뷰Chevron Right

25%

이 강좌를 수료한 후 새로운 경력 시작하기

27%

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최상위 리뷰

대학: VLMar 11th 2018

The course uncovers the science of the design for data. It is certainly very helpful for my job where have to present a lot of data in different perspectives for senior management.

대학: AHMay 30th 2017

It is an excellent course!!! very well designed and very proficient talk on most difficult and most important skills related to data visualization....Enjoyed it sooo much!!!

강사

Avatar

Govind Acharya

Principal Analyst
Budget and Institutional Analysis
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Hunter Whitney

Sr. Consultant, Author, Instructor
Design Strategy and Data Visualization

캘리포니아 대학교 데이비스 캠퍼스 정보

UC Davis, one of the nation’s top-ranked research universities, is a global leader in agriculture, veterinary medicine, sustainability, environmental and biological sciences, and technology. With four colleges and six professional schools, UC Davis and its students and alumni are known for their academic excellence, meaningful public service and profound international impact....

Data Visualization with Tableau 전문 분야 정보

In 2020 the world will generate 50 times the amount of data as in 2011. And 75 times the number of information sources (IDC, 2011). Being able to use this data provides huge opportunities and to turn these opportunities into reality, people need to use data to solve problems. This Specialization, in collaboration with Tableau, is intended for newcomers to data visualization with no prior experience using Tableau. We leverage Tableau's library of resources to demonstrate best practices for data visualization and data storytelling. You will view examples from real world business cases and journalistic examples from leading media companies. By the end of this specialization, you will be able to generate powerful reports and dashboards that will help people make decisions and take action based on their business data. You will use Tableau to create high-impact visualizations of common data analyses to help you see and understand your data. You will apply predicative analytics to improve business decision making. The Specialization culminates in a Capstone Project in which you will use sample data to create visualizations, dashboards, and data models to prepare a presentation to the executive leadership of a fictional company....
Data Visualization with Tableau

자주 묻는 질문

  • 강좌에 등록하면 바로 모든 비디오, 테스트 및 프로그래밍 과제(해당하는 경우)에 접근할 수 있습니다. 상호 첨삭 과제는 이 세션이 시작된 경우에만 제출하고 검토할 수 있습니다. 강좌를 구매하지 않고 살펴보기만 하면 특정 과제에 접근하지 못할 수 있습니다.

  • 강좌를 등록하면 전문 분야의 모든 강좌에 접근할 수 있고 강좌를 완료하면 수료증을 취득할 수 있습니다. 전자 수료증이 성취도 페이지에 추가되며 해당 페이지에서 수료증을 인쇄하거나 LinkedIn 프로필에 수료증을 추가할 수 있습니다. 강좌 내용만 읽고 살펴보려면 해당 강좌를 무료로 청강할 수 있습니다.

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