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Pooja Crahen
This course will teach you how to use Tableau with hands-on demos using organization and simplification techniques to get the right answers on the Tableau Desktop Certified Associate Exam.
Read more
This course will teach you how to use Tableau with hands-on demos using organization and simplification techniques to get the right answers on the Tableau Desktop Certified Associate Exam.
Read more
This course will teach you how to use Tableau with hands-on demos using organization and simplification techniques to get the right answers on the Tableau Desktop Certified Associate Exam.
Preparing for Tableau Certification requires hands-on practice. In this course, Tableau Desktop Certified Associate - Organizing & Simplifying Data, you’ll learn to how to use Tableau with hands-on demos to get the right answers on the Tableau Desktop Certified Associate exam. First, you’ll explore how you can add filters to the view so you only see the relevant data. Next, you’ll discover how you can create groups and sets so you can use them in calculations. Finally, you’ll learn how to create hierarchies and how they can be used in your views. When you’re finished with this course, you’ll have the skills and knowledge of organizing data needed to pass the Tableau Desktop Certified Associate exam.
Register for this course and see more details by visiting:
OpenCourser.com/course/ji88kf/tableau
What's inside
Syllabus
Course Overview
Organizing & Simplifying Data
Tableau in Action
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides real-world examples that connect Tableau skills to a workplace setting
Uses hands-on demonstrations to enhance the learning experience
Covers fundamental data organization and simplification techniques necessary for Tableau proficiency
Focuses on preparing learners for the Tableau Desktop Certified Associate exam, aligning with certification goals
Offers a strong foundation for those seeking to enhance their Tableau skills for data analysis and visualization
Requires learners to have some familiarity with Tableau or data visualization concepts
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Tableau Desktop Certified Associate - Organizing & Simplifying Data with these
activities:
Organize Course Materials for Efficient Review
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Ensure all course materials are readily accessible and well-organized for effective studying.
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-
Create a dedicated folder or notebook for course materials
-
Download and save all lecture slides, notes, and assignments
-
Organize materials by topic or module for easy retrieval
Show all one activities
Organize Course Materials for Efficient Review
Show steps
Ensure all course materials are readily accessible and well-organized for effective studying.
Show steps
Show steps
Show steps
- Create a dedicated folder or notebook for course materials
- Download and save all lecture slides, notes, and assignments
- Organize materials by topic or module for easy retrieval
Show all one activities
Career center
Learners who complete Tableau Desktop Certified Associate - Organizing & Simplifying Data will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts use their knowledge of data manipulation and visualization tools to help businesses make informed decisions. In this role, you will apply various techniques to organize and simplify data, a skill which is vital for preparing for the Tableau Desktop Certified Associate exam. This course will provide you with the hands-on practice you need to succeed in this role.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to identify trends and patterns that can help businesses make better decisions. To be successful in this role, you will need to have a strong understanding of data organization and simplification techniques, which are covered in this course.
Data Scientist
Data Scientist
Data Scientists use their knowledge of data analysis and machine learning to solve business problems. This course will provide you with the foundation you need to succeed in this role by teaching you how to organize and simplify data effectively.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data systems. In this role, you will need to have a strong understanding of data organization and simplification techniques, which are covered in this course.
Statistician
Statistician
Statisticians use data to solve problems in a variety of fields. To be successful in this role, you will need to have a strong understanding of data organization and simplification techniques, which are covered in this course.
Market Researcher
Market Researcher
Market Researchers use data to understand consumer behavior. In this role, you will need to have a strong understanding of data organization and simplification techniques, which are covered in this course.
Financial Analyst
Financial Analyst
Financial Analysts use data to make investment decisions. To be successful in this role, you will need to have a strong understanding of data organization and simplification techniques, which are covered in this course.
Operations Analyst
Operations Analyst
Operations Analysts use data to improve business processes. In this role, you will need to have a strong understanding of data organization and simplification techniques, which are covered in this course.
Risk Analyst
Risk Analyst
Risk Analysts use data to identify and mitigate risks. To be successful in this role, you will need to have a strong understanding of data organization and simplification techniques, which are covered in this course.
Healthcare Analyst
Healthcare Analyst
Healthcare Analysts use data to improve the quality and efficiency of healthcare delivery. In this role, you will need to have a strong understanding of data organization and simplification techniques, which are covered in this course.
Education Analyst
Education Analyst
Education Analysts use data to improve the quality and efficiency of education. To be successful in this role, you will need to have a strong understanding of data organization and simplification techniques, which are covered in this course.
Environmental Analyst
Environmental Analyst
Environmental Analysts use data to assess the impact of human activities on the environment. In this role, you will need to have a strong understanding of data organization and simplification techniques, which are covered in this course.
Transportation Analyst
Transportation Analyst
Transportation Analysts use data to improve the efficiency and safety of transportation systems. To be successful in this role, you will need to have a strong understanding of data organization and simplification techniques, which are covered in this course.
Supply Chain Analyst
Supply Chain Analyst
Supply Chain Analysts use data to improve the efficiency and effectiveness of supply chains. In this role, you will need to have a strong understanding of data organization and simplification techniques, which are covered in this course.
Human Resources Analyst
Human Resources Analyst
Human Resources Analysts use data to improve the efficiency and effectiveness of human resources functions. To be successful in this role, you will need to have a strong understanding of data organization and simplification techniques, which are covered in this course.
For more career information including salaries, visit:
OpenCourser.com/course/ji88kf/tableau
Reading list
We've selected five books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Tableau Desktop Certified Associate - Organizing & Simplifying Data.
Save
This classic book on data visualization must-read for anyone who wants to create clear and effective visualizations. It covers a wide range of topics, from the basics of visual perception to the design of complex dashboards.
Provides practical guidance on how to choose the right visualizations for different types of data and how to design effective dashboards. It valuable resource for anyone who wants to create clear and concise data visualizations.
This advanced guide to data visualization provides valuable insights into how to create clear and effective visualizations. It covers a wide range of topics, from the basics of visual perception to the design of complex dashboards.
Save
Provides a comprehensive overview of data visualization principles and techniques, covering topics such as data preparation, choosing the right visualizations, and designing effective dashboards. It valuable resource for beginners and experienced data analysts alike.
This step-by-step guide to Tableau is ideal for beginners who want to learn the basics of the software. It covers all of the essential topics, from data preparation to creating visualizations and dashboards.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/ji88kf/tableau
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Time
28 hours
Level
Introductory
Via
Pluralsight
Instructor
Pooja Crahen
Language
English
Good to know
Provides real-world examples that connect Tableau skills to a workplace setting
Uses hands-on demonstrations to enhance the learning experience
Covers fundamental data organization and simplification techniques necessary for Tableau proficiency
Focuses on preparing learners for the Tableau Desktop Certified Associate exam, aligning with certification goals
Offers a strong foundation for those seeking to enhance their Tableau skills for data analysis and visualization
Requires learners to have some familiarity with Tableau or data visualization concepts
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