Data Visualization with Tableau Project

Methode

Data Visualization with Tableau Project

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Beschreibung

When you enroll for courses through Coursera you get to choose for a paid plan or for a free plan

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  • Paid plan: Commit to earning a Certificate—it's a trusted, shareable way to showcase your new skills.

About this course: 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 exp…

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Noch nicht den perfekten Kurs gefunden? Verwandte Themen: Data Visualization, Big Data, Data Science, Data Analytics und Datenanalyse.

When you enroll for courses through Coursera you get to choose for a paid plan or for a free plan

  • Free plan: No certicification and/or audit only. You will have access to all course materials except graded items.
  • Paid plan: Commit to earning a Certificate—it's a trusted, shareable way to showcase your new skills.

About this course: 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!

Who is this class for: 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.

Created by:  University of California, Davis
  • Taught by:  Suk S. Brar, M.B.A., Lead Business Consultant

    Blue Shield of California
  • Taught by:  Hunter Whitney, Sr. Consultant, Author, Instructor

    Design Strategy and Data Visualization
Basic Info Course 5 of 5 in the Data Visualization with Tableau Specialization Level Intermediate Commitment 6 weeks of study, 3-8 hours/week, the week will vary. Language English Hardware Req You will need to have a current license of Tableau Desktop. How To Pass Pass all graded assignments to complete the course. User Ratings 4.6 stars Average User Rating 4.6See what learners said Coursework

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

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University of California, Davis 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.

Syllabus


WEEK 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 videos, 8 readings expand


  1. Video: Project Welcome
  2. Reading: Save Workbooks to Tableau Public
  3. Reading: Need Another Tableau License?
  4. Discussion Prompt: Your Learning Goals
  5. Video: Milestone 1 Assignment Overview
  6. Discussion Prompt: Questions For Your Peers
  7. Reading: Design Checklist Template
  8. Reading: Sample Design Checklist
  9. Reading: Resources on the Who, What, Why, and How
  10. Reading: Resources on Audience
  11. Reading: Examples of Single Frame Visualizations
  12. Reading: Examples of Multi-Frame Data Stories

Graded: Developing a Project Proposal

WEEK 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 video, 3 readings expand


  1. Video: Milestone 2 Assignment Overview
  2. Discussion Prompt: Questions For Your Peers
  3. Reading: Preparing Your Data for Import
  4. Reading: Primary Types of Connections
  5. Reading: Connecting and Merging Multiple Data Sources

Graded: Data Import and Preparation

WEEK 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 video, 6 readings expand


  1. Video: Milestone 3 Assignment Overview
  2. Discussion Prompt: Questions For Your Peers
  3. Reading: What is Exploratory and Explanatory Analysis?
  4. Reading: Case Study: Anscombe’s Quartet
  5. Reading: Identifying Outliers
  6. Reading: Constructing a Control Chart
  7. Reading: Tableau Whitepaper
  8. Reading: Conducting Visual Analytics


WEEK 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 readings expand


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

Graded: Exploratory Analysis and Dashboards

WEEK 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 video, 3 readings expand


  1. Video: Milestone 4 Assignment Overview
  2. Discussion Prompt: Questions For Your Peers
  3. Reading: Finding the Story
  4. Reading: Prioritizing, Optimizing and Designing the Data Story
  5. Reading: Tell the Story of Your Data

Graded: Storyboarding and Storytelling

WEEK 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 videos expand


  1. Video: Milestone 5 Assignment Overview
  2. Discussion Prompt: Questions For Your Peers
  3. Video: Project Summary
  4. Discussion Prompt: Reflections

Graded: Final Presentation

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