Get Started With Tableau faq

learnersLearners: 2
instructor Instructor: Carmen Rojas instructor-icon
duration Duration: duration-icon

This course provides an introduction to Tableau, a powerful software program used by business analysts. Learners will learn how to upload data, understand the difference between dimensions and measures, and create bar graphs, line graphs, and tables. Through questions and challenges, learners will gain the confidence to answer common business questions with Tableau visualizations.

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Course Feature Course Overview Pros & Cons Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Paid

providerProvider:

Coursera

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

22nd May, 2023

Course Overview

❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [March 20th, 2023]

This course, Get Started With Tableau, provides learners with the basic steps to begin using Tableau. Learners will learn how to upload data and how the user interface works. They will understand the difference between dimensions and measures as well as discrete and concrete variables. Learners will apply these new skills as they build bar graphs, line graphs, and tables. At the conclusion of this project, learners will feel confident in their ability to answer common business questions with Tableau visualizations. Along the way, there are questions and challenges to test learning and to display skills.

[Applications]
Upon completion of this course, learners will be able to apply their new Tableau skills to their own datasets. They will be able to create visualizations to answer common business questions and tell data stories. Learners will also be able to use Tableau to create bar graphs, line graphs, and tables. Additionally, learners will be able to distinguish between discrete and continuous variables, as well as dimensions and measures.

[Career Paths]
Career Paths:
1. Business Analyst: Business analysts use Tableau to analyze data and create visualizations to explain datasets and tell data stories. They are responsible for understanding the data, identifying trends, and making recommendations to improve business operations. As the demand for data-driven decision making increases, the need for business analysts with Tableau experience is growing.

2. Data Scientist: Data scientists use Tableau to analyze large datasets and uncover insights. They are responsible for understanding the data, identifying trends, and making predictions. As the demand for data-driven decision making increases, the need for data scientists with Tableau experience is growing.

3. Data Visualization Designer: Data visualization designers use Tableau to create visualizations that explain datasets and tell data stories. They are responsible for understanding the data, identifying trends, and creating visualizations that are both visually appealing and informative. As the demand for data-driven decision making increases, the need for data visualization designers with Tableau experience is growing.

4. Business Intelligence Developer: Business intelligence developers use Tableau to create dashboards and reports that help organizations make data-driven decisions. They are responsible for understanding the data, identifying trends, and creating dashboards and reports that are both visually appealing and informative. As the demand for data-driven decision making increases, the need for business intelligence developers with Tableau experience is growing.

[Education Paths]
1. Business Analytics Degree: Business analytics degrees are designed to provide students with the skills and knowledge needed to analyze data and make informed decisions. These degrees typically include courses in data mining, predictive analytics, and data visualization. Students will learn how to use software such as Tableau to create visualizations and interpret data. As businesses become increasingly data-driven, the demand for business analytics professionals is expected to grow.

2. Data Science Degree: Data science degrees are designed to provide students with the skills and knowledge needed to analyze large datasets and uncover insights. These degrees typically include courses in machine learning, data mining, and data visualization. Students will learn how to use software such as Tableau to create visualizations and interpret data. As businesses become increasingly data-driven, the demand for data science professionals is expected to grow.

3. Computer Science Degree: Computer science degrees are designed to provide students with the skills and knowledge needed to develop software applications. These degrees typically include courses in programming, data structures, and algorithms. Students will learn how to use software such as Tableau to create visualizations and interpret data. As businesses become increasingly data-driven, the demand for computer science professionals is expected to grow.

4. Information Technology Degree: Information technology degrees are designed to provide students with the skills and knowledge needed to design, develop, and maintain computer systems. These degrees typically include courses in networking, database management, and software development. Students will learn how to use software such as Tableau to create visualizations and interpret data. As businesses become increasingly data-driven, the demand for information technology professionals is expected to grow.

Pros & Cons

Pros Cons
  • pros

    Clear and concise instruction

  • pros

    Quickly and simply explained

  • pros

    Very informative for beginners

  • cons

    Data sets missing from guided project

  • cons

    Cloud workspace slow

  • cons

    Over promising and under delivering

Course Provider

Provider Coursera's Stats at AZClass

Rating Grade: B This is a trending provider perfect for gaining traction and maybe a good option for users who are looking for a reliable source of learning content.

Discussion and Reviews

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Quiz

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1. What is the main purpose of Tableau?

2. What type of variables are dimensions and measures?

3. Which of the following is not a type of visualization that can be created with Tableau?

4. What is the difference between a discrete and a continuous variable?

5. What is the difference between discrete and concrete variables?

Correct Answer: Discrete variables are countable, while continuous variables are measurable.

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faq FAQ for Tableau Courses

Q1: Does the course offer certificates upon completion?

Yes, this course offers a paid certificate. AZ Class have already checked the course certification options for you. Access the class for more details.

Q2: How do I contact your customer support team for more information?

If you have questions about the course content or need help, you can contact us through "Contact Us" at the bottom of the page.

Q3: How many people have enrolled in this course?

So far, a total of 2 people have participated in this course. The duration of this course is hour(s). Please arrange it according to your own time.

Q4: How Do I Enroll in This Course?

Click the"Go to class" button, then you will arrive at the course detail page.
Watch the video preview to understand the course content.
(Please note that the following steps should be performed on Coursera's official site.)
Find the course description and syllabus for detailed information.
Explore teacher profiles and student reviews.
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Once in the cart, select the course you want and click "Enroll."
Coursera may offer a Personal Plan subscription option as well. If the course is part of a subscription, you'll find the option to enroll in the subscription on the course landing page.
If you're looking for additional Tableau courses and certifications, our extensive collection at azclass.net will help you.

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