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Adam Crahen
Tableau is an industry leading data visualization tool. This course will teach you how to connect your data using joins, relationships, unions, and blending so you can visualize your data in Tableau Desktop..
Read more
Tableau is an industry leading data visualization tool. This course will teach you how to connect your data using joins, relationships, unions, and blending so you can visualize your data in Tableau Desktop..
Read more
Tableau is an industry leading data visualization tool. This course will teach you how to connect your data using joins, relationships, unions, and blending so you can visualize your data in Tableau Desktop..
Data is never clean and pretty or even stored in a single table. In this course, Tableau Desktop Specialist - Modifying Data Connections, you’ll learn to combine disparate data sources for your analysis. First, you’ll explore combining data through joins and unions. Next, you’ll discover blending disparate data sources. Finally, you’ll learn how to put this knowledge to use in several demos. When you’re finished with this course, you’ll have the skills and knowledge of modifying data connections needed to combine your data sources for meaningful analysis.
Register for this course and see more details by visiting:
OpenCourser.com/course/uhgmhm/tableau
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What's inside
Syllabus
Course Overview
Data Connections
Tableau in Action
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Examines how to connect data through joins, unions, and blending, which is standard in the data visualization industry
Helps develop skills in combining and visualizing data, which will increase your ability to work with and analyze data
Taught by Adam Crahen, who are recognized for their work with data visualization
Uses Tableau Desktop, which is a leading data visualization tool
Provides hands-on demos, which will supplement your learning
Designed as an intermediate-level course, so students with some experience in data visualization will benefit most
Requires access to Tableau Desktop, which may require a paid subscription
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Save Tableau Desktop Specialist - Modifying Data Connections to your list so you can find it easily later:
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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 Specialist - Modifying Data Connections with these
activities:
Brush up on data visualization concepts
Show steps
Review the basic principles of data visualization to strengthen the foundation for this course.
Browse courses on
Data Visualization
Show steps
-
Review the principles of data visualization, such as visual encodings, chart types, and design best practices.
-
Explore different types of data visualization tools and their applications.
Organize and review course materials
Show steps
Consolidate and review course materials to reinforce understanding and improve retention.
Browse courses on
Tableau
Show steps
-
Organize and categorize notes, assignments, quizzes, and exams.
-
Summarize and synthesize key concepts and techniques covered in the course.
-
Review and consolidate the materials regularly to enhance understanding and retention.
Practice data blending techniques
Show steps
Engage in hands-on exercises to develop proficiency in blending disparate data sources for analysis.
Browse courses on
Data Blending
Show steps
-
Use Tableau to blend data from multiple tables with different structures.
-
Explore different data blending methods, such as inner joins, outer joins, and unions.
-
Apply data blending techniques to real-world datasets to solve specific analysis problems.
-
Troubleshoot common data blending issues and optimize performance.
-
Create visualizations based on blended data to derive insights and make informed decisions.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Seek support from Tableau experts
Show steps
Identify and connect with experienced Tableau users or data visualization practitioners for guidance and support.
Browse courses on
Tableau
Show steps
-
Attend industry events or online forums to connect with potential mentors.
-
Reach out to professionals in the field and request mentorship.
-
Engage with mentors regularly to ask questions, discuss challenges, and seek advice.
Create a video tutorial on Tableau data blending
Show steps
Solidify understanding and reinforce the skills learned by creating a video tutorial on data blending in Tableau.
Browse courses on
Tableau
Show steps
-
Plan and outline the content of the video tutorial.
-
Record a video demonstration of the data blending process using Tableau.
-
Edit and produce the video, including adding narration, captions, and visual aids.
-
Publish and share the video tutorial on an online platform.
Build a data visualization dashboard
Show steps
Apply the skills learned in the course to create a practical data visualization dashboard that addresses a real-world problem.
Browse courses on
Tableau
Show steps
-
Identify a specific business problem or question that can be addressed through data visualization.
-
Gather and prepare the necessary data from various sources.
-
Design and develop the data visualization dashboard using Tableau.
-
Incorporate interactive features and filters to enable users to explore the data and derive insights.
-
Present and share the dashboard with stakeholders and explain the insights and recommendations.
Participate in a Tableau data visualization competition
Show steps
Test and showcase skills in a competitive environment to enhance learning and receive feedback.
Browse courses on
Tableau
Show steps
-
Research and identify relevant Tableau data visualization competitions.
-
Form a team or participate individually in the competition.
-
Develop and submit a data visualization solution to the competition.
-
Receive feedback and evaluate the performance against others.
Brush up on data visualization concepts
Show steps
Review the basic principles of data visualization to strengthen the foundation for this course.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Review the principles of data visualization, such as visual encodings, chart types, and design best practices.
- Explore different types of data visualization tools and their applications.
Organize and review course materials
Show steps
Consolidate and review course materials to reinforce understanding and improve retention.
Browse courses on
Tableau
Show steps
Show steps
Show steps
- Organize and categorize notes, assignments, quizzes, and exams.
- Summarize and synthesize key concepts and techniques covered in the course.
- Review and consolidate the materials regularly to enhance understanding and retention.
Practice data blending techniques
Show steps
Engage in hands-on exercises to develop proficiency in blending disparate data sources for analysis.
Browse courses on
Data Blending
Show steps
Show steps
Show steps
- Use Tableau to blend data from multiple tables with different structures.
- Explore different data blending methods, such as inner joins, outer joins, and unions.
- Apply data blending techniques to real-world datasets to solve specific analysis problems.
- Troubleshoot common data blending issues and optimize performance.
- Create visualizations based on blended data to derive insights and make informed decisions.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Seek support from Tableau experts
Show steps
Identify and connect with experienced Tableau users or data visualization practitioners for guidance and support.
Browse courses on
Tableau
Show steps
Show steps
Show steps
- Attend industry events or online forums to connect with potential mentors.
- Reach out to professionals in the field and request mentorship.
- Engage with mentors regularly to ask questions, discuss challenges, and seek advice.
Create a video tutorial on Tableau data blending
Show steps
Solidify understanding and reinforce the skills learned by creating a video tutorial on data blending in Tableau.
Browse courses on
Tableau
Show steps
Show steps
Show steps
- Plan and outline the content of the video tutorial.
- Record a video demonstration of the data blending process using Tableau.
- Edit and produce the video, including adding narration, captions, and visual aids.
- Publish and share the video tutorial on an online platform.
Build a data visualization dashboard
Show steps
Apply the skills learned in the course to create a practical data visualization dashboard that addresses a real-world problem.
Browse courses on
Tableau
Show steps
Show steps
Show steps
- Identify a specific business problem or question that can be addressed through data visualization.
- Gather and prepare the necessary data from various sources.
- Design and develop the data visualization dashboard using Tableau.
- Incorporate interactive features and filters to enable users to explore the data and derive insights.
- Present and share the dashboard with stakeholders and explain the insights and recommendations.
Participate in a Tableau data visualization competition
Show steps
Test and showcase skills in a competitive environment to enhance learning and receive feedback.
Browse courses on
Tableau
Show steps
Show steps
Show steps
- Research and identify relevant Tableau data visualization competitions.
- Form a team or participate individually in the competition.
- Develop and submit a data visualization solution to the competition.
- Receive feedback and evaluate the performance against others.
Career center
Learners who complete Tableau Desktop Specialist - Modifying Data Connections will develop knowledge and skills
that may be useful to these careers:
Management Consultant
Management Consultant
A Management Consultant advises businesses on how to improve their operations. They may also develop and implement new management systems. This course teaches you how to connect different data sources, which is a key skill for Management Consultants. By learning how to join, relate, union, and blend data, you'll be able to combine disparate data sources for your analysis. This will allow you to get a more complete picture of your business and make better decisions.
Data Scientist
Data Scientist
A Data Scientist uses data to solve business problems. They may also develop and implement machine learning models. This course teaches you how to connect different data sources, which is a key skill for Data Scientists. By learning how to join, relate, union, and blend data, you'll be able to combine disparate data sources for your analysis. This will allow you to get a more complete picture of your data and make better decisions.
Business Analyst
Business Analyst
A Business Analyst analyzes business processes to identify areas for improvement. They may also develop and implement new systems and procedures. This course teaches you how to connect different data sources, which is a key skill for Business Analysts. By learning how to join, relate, union, and blend data, you'll be able to combine disparate data sources for your analysis. This will allow you to get a more complete picture of your business and make better decisions.
Operations Research Analyst
Operations Research Analyst
An Operations Research Analyst uses data to solve business problems. They may also develop and implement new operations research models. This course teaches you how to connect different data sources, which is a key skill for Operations Research Analysts. By learning how to join, relate, union, and blend data, you'll be able to combine disparate data sources for your analysis. This will allow you to get a more complete picture of your data and make better decisions.
Statistician
Statistician
A Statistician collects, analyzes, interprets, and presents data. They may also develop and implement statistical models. This course teaches you how to connect different data sources, which is a key skill for Statisticians. By learning how to join, relate, union, and blend data, you'll be able to combine disparate data sources for your analysis. This will allow you to get a more complete picture of your data and make more informed decisions.
Data Architect
Data Architect
A Data Architect designs and builds data architectures. They may also develop and implement new data management systems. This course teaches you how to connect different data sources, which is a key skill for Data Architects. By learning how to join, relate, union, and blend data, you'll be able to combine disparate data sources into a single data architecture. This will allow you to manage and maintain your data more effectively.
Data Analyst
Data Analyst
A Data Analyst collects, analyzes, interprets, and presents data. They may also develop data visualizations to help communicate their findings. This course teaches you how to connect different data sources, which is a key skill for Data Analysts. By learning how to join, relate, union, and blend data, you'll be able to combine disparate data sources for your analysis. This will allow you to get a more complete picture of your data and make more informed decisions.
Database Administrator
Database Administrator
A Database Administrator manages and maintains databases. They may also develop and implement new database systems. This course teaches you how to connect different data sources, which is a key skill for Database Administrators. By learning how to join, relate, union, and blend data, you'll be able to combine disparate data sources into a single database. This will allow you to manage and maintain your data more effectively.
Financial Analyst
Financial Analyst
A Financial Analyst analyzes financial data to make investment recommendations. They may also develop and implement financial models. This course teaches you how to connect different data sources, which is a key skill for Financial Analysts. By learning how to join, relate, union, and blend data, you'll be able to combine disparate data sources for your analysis. This will allow you to get a more complete picture of your data and make better investment decisions.
Data Engineer
Data Engineer
A Data Engineer designs, builds, and maintains data pipelines. They may also develop and implement new data processing systems. This course teaches you how to connect different data sources, which is a key skill for Data Engineers. By learning how to join, relate, union, and blend data, you'll be able to combine disparate data sources into a single data pipeline. This will allow you to process your data more efficiently and effectively.
Quantitative Analyst
Quantitative Analyst
A Quantitative Analyst uses data to make investment decisions. They may also develop and implement trading models. This course teaches you how to connect different data sources, which is a key skill for Quantitative Analysts. By learning how to join, relate, union, and blend data, you'll be able to combine disparate data sources for your analysis. This will allow you to get a more complete picture of your data and make better investment decisions.
Actuary
Actuary
An Actuary analyzes data to assess risk. They may also develop and implement new actuarial models. This course teaches you how to connect different data sources, which is a key skill for Actuaries. By learning how to join, relate, union, and blend data, you'll be able to combine disparate data sources for your analysis. This will allow you to get a more complete picture of your data and make better decisions.
Epidemiologist
Epidemiologist
An Epidemiologist studies the distribution and determinants of health-related states and events in specified populations. They may also develop and implement new epidemiological models. This course teaches you how to connect different data sources, which is a key skill for Epidemiologists. By learning how to join, relate, union, and blend data, you'll be able to combine disparate data sources for your analysis. This will allow you to get a more complete picture of your data and make better decisions.
Market Researcher
Market Researcher
A Market Researcher collects, analyzes, and interprets data about markets. They may also develop and implement marketing campaigns. This course teaches you how to connect different data sources, which is a key skill for Market Researchers. By learning how to join, relate, union, and blend data, you'll be able to combine disparate data sources for your analysis. This will allow you to get a more complete picture of your market and make better marketing decisions.
Data Governance Analyst
Data Governance Analyst
A Data Governance Analyst develops and implements data governance policies and procedures. They may also develop and implement new data governance systems. This course teaches you how to connect different data sources, which is a key skill for Data Governance Analysts. By learning how to join, relate, union, and blend data, you'll be able to combine disparate data sources into a single data governance system. This will allow you to manage and maintain your data more effectively.
For more career information including salaries, visit:
OpenCourser.com/course/uhgmhm/tableau
Reading list
We've selected nine 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 Specialist - Modifying Data Connections.
Save
Provides a comprehensive overview of data visualization and great choice for those who want to learn more about this topic.
Provides a comprehensive overview of data visualization and great choice for those who want to learn more about this topic.
Provides a comprehensive overview of data visualization and great choice for those who want to learn more about this topic.
Practical guide to using Tableau Desktop for data visualization. It covers all of the essential features and functionality of the software, and it includes numerous examples of how to use Tableau to create effective data visualizations.
Save
Provides a comprehensive overview of data visualization and great choice for those who want to learn more about this topic.
Save
Provides a comprehensive overview of the principles of data visualization and great choice for those who want to learn more about this topic.
Provides a comprehensive introduction to data visualization with Tableau Desktop. It covers the basics of data visualization, as well as more advanced topics such as data blending and dashboard design. This book valuable resource for anyone who wants to learn how to use Tableau Desktop to create effective data visualizations.
Comprehensive guide to data management in Tableau Desktop. It covers all of the essential features and functionality of the software, and it includes numerous examples of how to use Tableau to manage data effectively.
Provides a comprehensive introduction to data visualization. It covers all of the essential concepts and techniques, and it includes numerous examples of how to use data visualization to communicate effectively.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/uhgmhm/tableau
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Time
30 hours
Level
Introductory
Via
Pluralsight
Instructor
Adam Crahen
Language
English
Good to know
Examines how to connect data through joins, unions, and blending, which is standard in the data visualization industry
Helps develop skills in combining and visualizing data, which will increase your ability to work with and analyze data
Taught by Adam Crahen, who are recognized for their work with data visualization
Uses Tableau Desktop, which is a leading data visualization tool
Provides hands-on demos, which will supplement your learning
Designed as an intermediate-level course, so students with some experience in data visualization will benefit most
Requires access to Tableau Desktop, which may require a paid subscription
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