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Data Visualization and Communication with Tableau Coursera

Highlights
Tuition fee
Free
Free
Unknown
Tuition fee
Free
Free
Unknown
Duration
21 days
Duration
21 days
Apply date
Anytime
Unknown
Apply date
Anytime
Unknown
Start date
Anytime
Unknown
Start date
Anytime
Unknown
Taught in
English
Taught in
English

About

In this Data Visualization and Communication with Tableau offered by Coursera in partnership with Duke University, you will learn how to become a master at communicating business-relevant implications of data analyses. 

Overview

One of the skills that characterizes great business data analysts is the ability to communicate practical implications of quantitative analyses to any kind of audience member. Even the most sophisticated statistical analyses are not useful to a business if they do not lead to actionable advice, or if the answers to those business questions are not conveyed in a way that non-technical people can understand. 

Key facts

  • By the end of the Data Visualization and Communication with Tableau offered by Coursera in partnership with Duke University, you will know how to structure your data analysis projects to ensure the fruits of your hard labor yield results for your stakeholders.  You will also know how to streamline your analyses and highlight their implications efficiently using visualizations in Tableau, the most popular visualization programme in the business world.  
  • Using other Tableau features, you will be able to make effective visualizations that harness the human brain’s innate perceptual and cognitive tendencies to convey conclusions directly and clearly.  Finally, you will be practiced in designing and persuasively presenting business “data stories” that use these visualizations, capitalizing on business-tested methods and design principles.

Programme Structure

Courses include:

  • About this Specialization and Course
  • Asking The "Right Questions"
  • Data Visualization with Tableau
  • Dynamic Data Manipulation and Presentation in Tableau
  • Your Communication Toolbox: Visualizations, Logic, and Stories
  • Final Project

Key information

Duration

  • Part-time
    • 21 days
    • 10 hrs/week

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online
  • Self-paced

Campus Location

  • Mountain View, United States

What students do after studying

Join for free or log in to access our complete career info list.

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

  • To obtain additional information about the programme, we kindly suggest that you visit the programme website, where you can find further details and relevant resources.  

Tuition Fees

Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
  • International

    Non-residents
    Free
  • Out-of-State
    Free

Additional Details

  • Audit: free access to course materials except graded items
  • Certificate: a trusted way to showcase your skills
  • A year of unlimited access with Coursera Plus $399

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

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