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Emily Kund
In less than one hour, you will learn how to connect to data, create key performance indicators, create sparkline charts, create a dashboard map, create dual axis charts and put it all together in a well-formatted and interactive dashboard.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Register for this course and see more details by visiting:
OpenCourser.com/course/jn50ia/creating
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Develops core skills for data analysts and business intelligence professionals, which include data analysis and visualization
Focuses on creating interactive dashboards with drag-and-drop functionality, which is a marketable skill
Provides hands-on labs that allow for immediate application, which helps learners retain information
Builds a strong foundation for learners who are new to data analysis and visualization, which enhances accessibility
Limits enrollment to learners based in the North America region, which can be a barrier to access
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Reviews summary
Mediocre tableau course
This Tableau course receives some negative feedback regarding technical issues like outdated formulas and loading errors. However, the course also offers some good hands-on practices and projects to help learners build interactive dashboards. Still, learners should be aware that this course works best for those in the North America region.
Creates interactive dashboards
"...creating calculating fields to building charts to creating a dashboard and formatting."
Provides good hands-on practice
"A great project to learn some good hands on Tableau."
"After working through a few guided projects, I thought this has been one of the better ones thus far."
Slightly outdated course content
"Está un poco desactualizado, pero funciona"
Outdated formulas, loading errors
"The formulas for the calculated fields are out of date, so they didn't work."
"None of the data would load into the charts even though I followed the steps exactly..."
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 Creating an Interactive KPI Management Dashboard in Tableau with these
activities:
Organize and compile course notes and resources
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Organizing your materials will make it easier to review and retain course content.
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Organization
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-
Gather all your notes, assignments, and resources.
-
Create a system for organizing and filing these materials.
-
Review your organized materials regularly to strengthen memory and retention.
Brush up on SQL and Python
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SQL and Python are essential tools for data analytics. Refreshing these skills will enhance your ability to work with data.
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Programming
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-
Review basic SQL commands and practice writing queries.
-
Work through Python tutorials or exercises to refresh your programming skills.
Participate in study groups or online forums
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Engaging with peers can provide different perspectives, clarify concepts, and boost understanding.
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Collaboration
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Join online forums or study groups related to data analytics.
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Actively participate in discussions and ask questions.
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Collaborate with others on projects or assignments.
Four other activities
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Read 'Data Analytics Made Accessible' by Anil Maheshwari
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This book provides a comprehensive overview of data analytics concepts and techniques, helping you build a solid foundation for data analysis.
View
The Power of the Ballot: Travail and Triumph in...
on Amazon
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-
Read chapters 1-3 to gain a fundamental understanding of data analytics.
-
Complete the exercises at the end of each chapter to practice the concepts.
-
Summarize the key takeaways from each chapter in your own words.
Solve practice problems on data analysis
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Solving practice problems will reinforce your understanding of data analysis techniques and improve your problem-solving skills.
Browse courses on
Data Analysis
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-
Find practice problems from online resources or textbooks.
-
Attempt to solve the problems on your own.
-
Review the solutions and identify areas for improvement.
Create a data visualization dashboard
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Creating a dashboard will help you apply the principles of data visualization to present insights effectively.
Browse courses on
Data Visualization
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-
Choose a dataset that aligns with the course content.
-
Clean and prepare the data for visualization.
-
Select appropriate visualization types to represent the data.
-
Design and implement the dashboard using tools like Tableau or Power BI.
-
Evaluate the effectiveness of your dashboard and make improvements as needed.
Follow tutorials on advanced data analytics techniques
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Tutorials will introduce you to new data analytics techniques and expand your knowledge beyond the course material.
Browse courses on
Data Analytics
Show steps
-
Identify specific areas where you want to enhance your skills.
-
Search for reputable tutorials on those topics.
-
Follow the tutorials step-by-step and apply the techniques to your own projects.
Organize and compile course notes and resources
Show steps
Organizing your materials will make it easier to review and retain course content.
Browse courses on
Organization
Show steps
Show steps
Show steps
- Gather all your notes, assignments, and resources.
- Create a system for organizing and filing these materials.
- Review your organized materials regularly to strengthen memory and retention.
Brush up on SQL and Python
Show steps
SQL and Python are essential tools for data analytics. Refreshing these skills will enhance your ability to work with data.
Browse courses on
Programming
Show steps
Show steps
Show steps
- Review basic SQL commands and practice writing queries.
- Work through Python tutorials or exercises to refresh your programming skills.
Participate in study groups or online forums
Show steps
Engaging with peers can provide different perspectives, clarify concepts, and boost understanding.
Browse courses on
Collaboration
Show steps
Show steps
Show steps
- Join online forums or study groups related to data analytics.
- Actively participate in discussions and ask questions.
- Collaborate with others on projects or assignments.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Read 'Data Analytics Made Accessible' by Anil Maheshwari
Show steps
This book provides a comprehensive overview of data analytics concepts and techniques, helping you build a solid foundation for data analysis.
View
The Power of the Ballot: Travail and Triumph in...
on Amazon
Show steps
Show steps
Show steps
- Read chapters 1-3 to gain a fundamental understanding of data analytics.
- Complete the exercises at the end of each chapter to practice the concepts.
- Summarize the key takeaways from each chapter in your own words.
Solve practice problems on data analysis
Show steps
Solving practice problems will reinforce your understanding of data analysis techniques and improve your problem-solving skills.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Find practice problems from online resources or textbooks.
- Attempt to solve the problems on your own.
- Review the solutions and identify areas for improvement.
Create a data visualization dashboard
Show steps
Creating a dashboard will help you apply the principles of data visualization to present insights effectively.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Choose a dataset that aligns with the course content.
- Clean and prepare the data for visualization.
- Select appropriate visualization types to represent the data.
- Design and implement the dashboard using tools like Tableau or Power BI.
- Evaluate the effectiveness of your dashboard and make improvements as needed.
Follow tutorials on advanced data analytics techniques
Show steps
Tutorials will introduce you to new data analytics techniques and expand your knowledge beyond the course material.
Browse courses on
Data Analytics
Show steps
Show steps
Show steps
- Identify specific areas where you want to enhance your skills.
- Search for reputable tutorials on those topics.
- Follow the tutorials step-by-step and apply the techniques to your own projects.
Career center
Learners who complete Creating an Interactive KPI Management Dashboard in Tableau will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts study data to draw conclusions and make recommendations to management. Those interested in entering this role may find that this course is helpful for understanding how to analyze data and transform it into a usable format. This course can help build a foundation for managing databases and allow you to develop your analytical skills.
System Analyst
System Analyst
System Analysts study computer systems to identify areas for improvement. Candidates interested in this course may find it useful for learning how to analyze system data. This course can help build skills in creating interactive dashboards to track and measure system performance.
Operations Analyst
Operations Analyst
Operations Analysts study the efficiency of operations within organizations. Those interested in entering this field may find this course to be useful for learning how to analyze data to identify areas for improvement. This course can help you gain the necessary skills to build interactive dashboards to track and measure operational performance.
Sales Analyst
Sales Analyst
Sales Analysts study sales data to identify trends and make recommendations to management. Those interested in entering this role may find this course to be useful for understanding how to analyze sales data. This course can help build a foundation for creating interactive dashboards that can be used to track and measure sales performance.
Web Analyst
Web Analyst
Web Analysts study website traffic to identify areas for improvement. Those interested in pursuing this career may find this course to be valuable for learning how to analyze website data. This course can help build a foundation for creating interactive dashboards that can be used to track and measure website performance.
Market Analyst
Market Analyst
Market Analysts study market trends to identify opportunities for businesses. Those interested in pursuing this career may find this course to be relevant for learning how to analyze market data. This course can help you develop the essential skills for creating interactive market dashboards.
Financial Analyst
Financial Analyst
Financial Analysts evaluate the performance of companies and make recommendations to investors. Candidates pursuing this course may find it useful for learning how to effectively present financial data to investors. This course can help you gain essential skills for creating interactive dashboards to keep investors up to date on company financials.
Project Manager
Project Manager
Project Managers plan and execute projects. Those interested in pursuing this career may find this course to be valuable in learning how to effectively present project data to stakeholders. This course can provide you with the essential skills for creating interactive dashboards that can be used to track project progress.
Management Consultant
Management Consultant
Management Consultants provide advice to businesses on how to improve their performance. Those who wish to enter this profession may find this course to be valuable for learning how to effectively present data to clients. This course can help build the skills needed to create interactive dashboards that can be used to track progress and measure the impact of recommendations.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. Those pursuing this role may find this course to be helpful for learning how to analyze data to make decisions about product development. This course can help build a foundation for building interactive dashboards that can be used to track product performance.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to make sound decisions for organizations. Those interested in entering this role may find that this course is helpful for understanding how to effectively present data to management. This course can help build the ability to implement dashboards that will be used by management daily to drive decisions.
Data Scientist
Data Scientist
Data Scientists use data to solve business problems. Those seeking this role may find value in completing this course to better understand how to use data to make informed decisions. This course may help you build a strong foundation for working with data science tools.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. Individuals pursuing this role may find value in completing this course to better understand how to use data to improve software performance. This course may help you build a strong foundation for working with software development tools.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design and develop machine learning models. Those seeking this role may find value in completing this course to better understand how to use data to build predictive models. This course may help you build a strong foundation for working with machine learning algorithms.
Statistician
Statistician
Statisticians use data to make inferences about populations. Anyone seeking this role may find value in completing this course to better understand how to analyze data. This course may help you build a strong foundation for using statistical techniques to solve real-world problems.
For more career information including salaries, visit:
OpenCourser.com/course/jn50ia/creating
Reading list
We've selected ten 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
Creating an Interactive KPI Management Dashboard in Tableau.
Save
Classic work on data visualization. It covers the principles of effective data display and provides numerous examples.
Comprehensive guide to data visualization in Tableau. It covers advanced techniques, best practices, and case studies.
Save
Provides a practical guide to creating compelling data visualizations. It covers design principles, best practices, and case studies.
Provides a practical guide to using Tableau for data science. It covers data preparation, exploratory data analysis, and visualization.
Provides a practical guide to developing, implementing, and managing KPIs. It covers key concepts, best practices, and case studies.
Supplement for data visualization using Tableau. Useful as additional reading.
Good for general data visualization principles and inspiration. Useful as additional reading.
Good for learning data storytelling techniques. Useful as additional reading.
Good for general data visualization principles. Useful as additional reading.
Good background reading for data modeling and visualization. Useful for beginners.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/jn50ia/creating
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Time
1 hours
Via
Coursera
Institution
Coursera Project Network
Instructor
Emily Kund
Good to know
Develops core skills for data analysts and business intelligence professionals, which include data analysis and visualization
Focuses on creating interactive dashboards with drag-and-drop functionality, which is a marketable skill
Provides hands-on labs that allow for immediate application, which helps learners retain information
Builds a strong foundation for learners who are new to data analysis and visualization, which enhances accessibility
Limits enrollment to learners based in the North America region, which can be a barrier to access
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