About this Course
18,745

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

탄력적인 마감일

일정에 따라 마감일을 재설정합니다.

중급 단계

Familiar with Tableau and comfortable working with data and datasets.

완료하는 데 약 11시간 필요

권장: 6 weeks of study, 3-8 hours/week, the week will vary....

영어

자막: 영어

배울 내용

  • Check

    Develop a project proposal

  • Check

    Assess the quality of the data and perform exploratory analysis

  • Check

    Create KPIs and dashboards and assess your analysis

  • Check

    Create your data story and write a narrative to accompany your visualization

귀하가 습득할 기술

Data AnalysisInteractive VisualizationTableau SoftwareData Visualization (DataViz)

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

탄력적인 마감일

일정에 따라 마감일을 재설정합니다.

중급 단계

Familiar with Tableau and comfortable working with data and datasets.

완료하는 데 약 11시간 필요

권장: 6 weeks of study, 3-8 hours/week, the week will vary....

영어

자막: 영어

강의 계획 - 이 강좌에서 배울 내용

1
완료하는 데 5시간 필요

Getting Started and Milestone 1: Develop a Project Proposal

In this first milestone, you will write a project proposal that will capture the “who, what, why and how” of your project plus any challenges that you foresee along the way. Your proposal will include: a specific business case or personal objective, any intended outcomes, a description of the needs of the intended audience, a description of the dataset to be used, and any foreseeable challenges....
2 videos (Total 8 min), 7 readings, 2 quizzes
2개의 동영상
Milestone 1 Assignment Overview3m
7개의 읽기 자료
Save Workbooks to Tableau Public10m
Design Checklist Template10m
Sample Design Checklist10m
Resources on the Who, What, Why, and How20m
Resources on Audience30m
Examples of Single Frame Visualizations10m
Examples of Multi-Frame Data Stories10m
2
완료하는 데 3시간 필요

Milestone 2: Importing and Prepping the Data

In milestone two, you will acquire the dataset that supports your project proposal, import it into Tableau, and prepare the data for analysis....
1 video (Total 1 min), 3 readings, 1 quiz
1개의 동영상
3개의 읽기 자료
Preparing Your Data for Import10m
Primary Types of Connections10m
Connecting and Merging Multiple Data Sources10m
3
완료하는 데 1시간 필요

Milestone 3: Exploratory Analysis

In this milestone, you will use the skills that you have learned in the specialization to perform exploratory analysis of your data. You will identify key metrics in the data and create KPIs, and you will use those KPIs to create dashboards that allow for comparative views and “brushing and linking.” This will allow us to begin to think about the proper context of developing an explanatory analysis that will form the basis for the remaining milestones. Be sure your visualizations demonstrate the visual and cognitive design principles learned throughout the Specialization, and make use of advanced features like hierarchies, actions, filters and parameters. ...
1 video (Total 2 min), 6 readings
1개의 동영상
6개의 읽기 자료
What is Exploratory and Explanatory Analysis?10m
Case Study: Anscombe’s Quartet10m
Identifying Outliers10m
Constructing a Control Chart10m
Tableau Whitepaper10m
Conducting Visual Analytics10m
4
완료하는 데 2시간 필요

Milestone 3: Exploratory Analysis and Dashboard Submission

In this module, you will continue to work through Milestone 3, your exploratory analysis and dashboard creation as outlined in the third week. You will then submit your deliverables for peer review....
2 readings, 1 quiz
2개의 읽기 자료
Key Metrics, Indicators, Decision Triggers10m
Dashboard and Storytelling with Data10m
4.6
23개의 리뷰Chevron Right

12%

이 강좌를 통해 확실한 경력상 이점 얻기

최상위 리뷰

대학: SRSep 13th 2018

great content ever had on online. I love this course very much because this course helped me to make how to make story with a data. Thank you coursera. Keep it up!.

대학: JROct 20th 2018

The final project was a great way to bring all the different concepts of the specialization together. I really enjoyed it.

강사

Avatar

Suk S. Brar, M.B.A.

Lead Business Consultant
Blue Shield of California
Avatar

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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