Об этом курсе: In this project-based course, you will follow your own interests to create a portfolio worthy single-frame viz or multi-frame data story that will be shared on Tableau Public. You will use all the skills taught in this Specialization to complete this project step-by-step, with guidance from your instructors along the way. You will first create a project proposal to identify your goals for the project, including the question you wish to answer or explore with data. You will then find data that will provide the information you are seeking. You will then import that data into Tableau and prepare it for analysis. Next you will create a dashboard that will allow you to explore the data in depth and identify meaningful insights. You will then give structure to your data story by writing the story arc in narrative form. Finally, you will consult your design checklist to craft the final viz or data story in Tableau. This is your opportunity to show the world what you’re capable of - so think big, and have confidence in your skills!

Для кого этот курс: This course is primarily aimed at individuals with some fundamental data visualization knowledge, are familiar with Tableau, and want to increase their knowledge in explanatory analysis. This course is intended for the beginner data visualization person, but who is comfortable working with data and datasets.

Автор: Калифорнийский университет в Девисе

Преподаватели: Suk S. Brar, M.B.A., Lead Business Consultant
Blue Shield of California
Преподаватели: Hunter Whitney, Sr. Consultant, Author, Instructor
Design Strategy and Data Visualization

Основные сведения	Course 5 of 5 in the Data Visualization with Tableau Specialization
Уровень	Intermediate
Выполнение	6 weeks of study, 3-8 hours/week, the week will vary.
Язык	English
Требования к аппаратным средствам	You will need to have a current license of Tableau Desktop.
Как пройти курс	Чтобы пройти курс, выполните все оцениваемые задания.
Оценки пользователей	4.4 звезды Средняя оценка пользователей: 4.4Посмотрите, что пишут учащиеся

Программа курса

НЕДЕЛЯ 1

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 видео, 7 материалов для самостоятельного изучения

Reading: Save Workbooks to Tableau Public
LTI Item: Need Another Tableau License?
Discussion Prompt: Your Learning Goals
Видео: Milestone 1 Assignment Overview
Discussion Prompt: Questions For Your Peers
Reading: Design Checklist Template
Reading: Sample Design Checklist
Reading: Resources on the Who, What, Why, and How
Reading: Resources on Audience
Reading: Examples of Single Frame Visualizations
Reading: Examples of Multi-Frame Data Stories

Оцениваемый: Developing a Project Proposal

НЕДЕЛЯ 2

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 видео, 3 материалов для самостоятельного изучения

Discussion Prompt: Questions For Your Peers
Reading: Preparing Your Data for Import
Reading: Primary Types of Connections
Reading: Connecting and Merging Multiple Data Sources

Оцениваемый: Data Import and Preparation

НЕДЕЛЯ 3

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 видео, 6 материалов для самостоятельного изучения

Discussion Prompt: Questions For Your Peers
Reading: What is Exploratory and Explanatory Analysis?
Reading: Case Study: Anscombe’s Quartet
Reading: Identifying Outliers
Reading: Constructing a Control Chart
Reading: Tableau Whitepaper
Reading: Conducting Visual Analytics

НЕДЕЛЯ 4

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 материалов для самостоятельного изучения

Discussion Prompt: Questions For Your Peers
Reading: Key Metrics, Indicators, Decision Triggers
Reading: Dashboard and Storytelling with Data

Оцениваемый: Exploratory Analysis and Dashboards

НЕДЕЛЯ 5

Milestone 4: Storytelling and Storyboarding

In this milestone, you will take a short but essential break from the data visualization software and begin to give structure to your data stories. You will define the basic story arc of your data story, or draft a narrative description of what your data visualization communicates. You have started that process in the previous milestones, but now we will start assembling our story using Story Points.

1 видео, 3 материалов для самостоятельного изучения

Discussion Prompt: Questions For Your Peers
Reading: Finding the Story
Reading: Prioritizing, Optimizing and Designing the Data Story
Reading: Tell the Story of Your Data

Оцениваемый: Storyboarding and Storytelling

НЕДЕЛЯ 6

Milestone 5: Final Presentation

In this final milestone, you will apply design elements from our design checklist. You have met the goals of the stakeholder’s and will complete your design to meet the needs of the audience. You will apply the cognitive and visual design concepts learned throughout this Specialization and create a visualization or data story that leaves a lasting impression with your audience.

2 видео

Discussion Prompt: Questions For Your Peers
Видео: Project Summary
Discussion Prompt: Reflections

Оцениваемый: Final Presentation

Часто задаваемые вопросы

Когда я получу доступ к лекциям и заданиям?

Что делать, если мне потребуется больше времени на прохождение курса?

Что я получу, оплатив этот курс?

Могу я пройти этот курс бесплатно?

Какие правила возврата средств?

Можно ли получить финансовую помощь?

Как это работает

Coursework

Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.

Help from Your Peers

Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.

Certificates

Earn official recognition for your work, and share your success with friends, colleagues, and employers.

Авторы

Калифорнийский университет в Девисе

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.

Стоимость

	Приобрести курс
Получить доступ к материалам курса	Доступен
Получить доступ к оцениваемым материалам курса	Доступен
Получить итоговую оценку	Доступен
Earn a shareable Course Certificate	Доступен

Рейтинги и отзывы

Оценка 4.4 из 5 по 45 отзывам

I wish there had been professional feedback on our submissions- even if it was just the final one. However, great course overall.

Great course on data visualization fundamentals. That we got to apply them in Tableau is even better. Would love to see this team do a similar course for an open source viz software like RShiny or Pentaho.

Good round up for the Specialisation

I expected the Capstone Project to be very different. In particular, I expected to have less freedom in choosing the project.

After successfully completing the course, I confirm that it would be much better to have some more guidance/limitations/constraints when choosing the project. I spent so much time looking for data and thinking about a project that I almost dropped out from the course at milestone 1.

If you choose a good project, it’s a very good way to make some practice.

Data Visualization with Tableau Project

Data Visualization with Tableau Project