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Carmen Rojas

Tableau is widely recognized as one of the premier data visualization software programs. For many years access to the program was limited to those who purchased licenses. Recently, Tableau launched a public version that grants the ability to create amazing data visualizations for free. Account members can also share and join projects to collaborate on projects that can change the world.

In this project, we will learn how to create an account, how to upload and work with diverse data sets, and how to analyze marketing spend within Tableau.

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Tableau is widely recognized as one of the premier data visualization software programs. For many years access to the program was limited to those who purchased licenses. Recently, Tableau launched a public version that grants the ability to create amazing data visualizations for free. Account members can also share and join projects to collaborate on projects that can change the world.

In this project, we will learn how to create an account, how to upload and work with diverse data sets, and how to analyze marketing spend within Tableau.

Learning to use this in-demand tool has applications in Marketing, Finance, Operations, Sales, and many other business functions.

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.

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What's inside

Syllabus

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Examines digital marketing spend, which is a key business metric
Builds a strong foundation for beginners in data visualization
Teaches skills, knowledge, and tools that are highly relevant to business functions
Develops skills in collaborating on projects

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Reviews summary

Practical tableau for digital marketing spend

According to learners, this course offers an incredibly practical and hands-on approach to using Tableau for digital marketing analytics. Students frequently praise the instructor's clear and concise explanations, making it easy to grasp concepts for immediate application. It's highlighted as an excellent foundation for beginners in data visualization and marketing professionals looking to analyze ad spend. While many find it highly relevant and valuable, some more experienced users note it might be too basic for advanced topics, suggesting it's best for those starting out. Isolated reports of minor technical issues and the North America regional focus are mentioned.
Excellent starting point, but limited for advanced learners.
"Fantastic course!... Perfect for beginners in data visualization."
"Good introduction to Tableau for marketing analytics."
"I felt this course was too basic for me... It's good if you're an absolute beginner, but not for intermediate users looking to upskill."
Instructor provides clear, concise, and helpful explanations.
"The instructor was clear and concise, making complex topics easy to grasp. Highly recommend for anyone in digital marketing!"
"The instructor broke down complex concepts brilliantly."
"Excellent course for anyone wanting to get started with Tableau for marketing data. The instructor is very clear and provides useful tips."
Strong emphasis on hands-on application for immediate use.
"This course is incredibly practical and hands-on. I learned exactly how to connect to various data sources and build effective marketing dashboards."
"The project-based approach was really helpful. I particularly liked the real-world examples and how quickly I could apply what I learned."
"As a marketing professional, I found this course extremely relevant. The practical application of Tableau to analyze ad spend was invaluable."
Some users faced small issues with software/data.
"I also had some technical issues with the Tableau Public connection that weren't fully covered."
"I had some minor issues with data formatting, but figured it out."
"While the course content was valuable, be prepared for potential minor glitches with software connections or data preparation."
Course content best suits learners in North America.
"The course content was okay, but I found the regional restriction for North America somewhat limiting, even though it was mentioned."
"I recommend being aware that this course works best for learners who are based in the North America region, as noted."
"For me, the regional specific examples meant I had to adjust some things as I am not in North America."

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 Analyze Digital Marketing Spend in Tableau with these activities:
Tableau Online Basics
Introduces you to the fundamentals of Tableau and will help prepare you for this course by setting expectations and clearing up any questions you may have.
Browse courses on Tableau
Show steps
  • Visit the Tableau Online website.
  • Create a free account.
  • Explore the interface and familiarize yourself with the basic features of the platform.
Practice creating visualizations repeatedly
Regularly practicing data visualization techniques in Tableau will deepen understanding and strengthen your skills.
Browse courses on Tableau
Show steps
  • Create a visualization from a sample dataset
  • Experiment with different chart types
  • Analyze the data and insights from the visualization
Develop a data visualization portfolio
Building a portfolio can showcase your Tableau skills and reinforce what you have learned.
Browse courses on Data Visualization
Show steps
  • Select diverse datasets
  • Create compelling visualizations
  • Write descriptions for each project
  • Share your portfolio with others for feedback
One other activity
Expand to see all activities and additional details
Show all four activities
Marketing Dashboard Project
This project allows you to apply your new Tableau skills to a real-world scenario. By creating a marketing dashboard, you will gain valuable experience in data analysis and presentation.
Browse courses on Tableau Dashboard
Show steps
  • Gather and clean your marketing data.
  • Design your dashboard layout.
  • Create visualizations to represent your data.
  • Add interactivity and storytelling elements to your dashboard.

Career center

Learners who complete Analyze Digital Marketing Spend in Tableau will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts design and build data visualization dashboards to help businesses understand their data. By learning how to create and interpret data visualizations in this course, you'll develop skills that are essential for success in this role.
Marketing Analyst
Marketing Analysts use data to understand customer behavior and make better marketing decisions. This course will help you develop the skills you need to analyze marketing data and make recommendations that can improve marketing campaigns.
Business Analyst
Business Analysts help businesses improve their performance by analyzing data and making recommendations. This course will help you develop the skills you need to analyze data and make recommendations that can improve business processes.
Financial Analyst
Financial Analysts use data to make investment decisions. This course will help you develop the skills you need to analyze financial data and make recommendations that can improve investment returns.
Operations Analyst
Operations Analysts use data to improve the efficiency of business processes. This course will help you develop the skills you need to analyze data and make recommendations that can improve operational efficiency.
Sales Analyst
Sales Analysts use data to understand customer behavior and make better sales decisions. This course will help you develop the skills you need to analyze sales data and make recommendations that can improve sales performance.
Market Researcher
Market Researchers use data to understand customer needs and preferences. This course will help you develop the skills you need to analyze market research data and make recommendations that can improve product development and marketing campaigns.
Data Scientist
Data Scientists use data to solve business problems. This course will help you develop the skills you need to analyze data and build models that can solve business problems.
Software Engineer
Software Engineers design and build software applications. This course will help you develop the skills you need to design and build data visualization applications.
Web Developer
Web Developers design and build websites. This course will help you develop the skills you need to design and build data visualization websites.
Graphic Designer
Graphic Designers create visual content for businesses. This course will help you develop the skills you need to create data visualizations that are both informative and visually appealing.
Journalist
Journalists write news articles and other content for the public. This course will help you develop the skills you need to gather and analyze data and write articles that are both informative and engaging.
Teacher
Teachers teach students at all levels of education. This course will help you develop the skills you need to create and deliver data visualization lessons that are both effective and engaging.
Consultant
Consultants provide advice and guidance to businesses on a variety of topics. This course will help you develop the skills you need to analyze data and make recommendations that can help businesses improve their performance.
Entrepreneur
Entrepreneurs start and run their own businesses. This course will help you develop the skills you need to analyze data and make decisions that can help your business succeed.

Reading list

We've selected 13 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 Analyze Digital Marketing Spend in Tableau.
Provides a comprehensive guide to Tableau, covering the basics of data visualization, data preparation, and creating interactive dashboards. It valuable resource for beginners and experienced Tableau users alike.
Provides a comprehensive guide to dashboard design. It covers the principles of effective data visualization and how to create dashboards that are both informative and engaging. It useful resource for anyone who wants to create effective dashboards.
Provides a comprehensive guide to digital marketing analytics. It covers the principles of data analysis and how to use data to improve digital marketing campaigns. It useful resource for anyone who wants to learn more about digital marketing analytics.
Provides a practical guide to Tableau, covering the basics of data visualization, data preparation, and creating interactive dashboards. It includes numerous examples and exercises to help readers learn Tableau.
Provides a practical guide to storytelling with data. It covers the principles of effective storytelling and how to use data to create compelling stories. It useful resource for anyone who wants to communicate data effectively.
Provides a non-technical introduction to data visualization. It covers the principles of visual perception and how to use data to create effective visualizations. It useful resource for anyone who wants to learn more about data visualization.
Provides a comprehensive guide to machine learning for business. It covers the basics of machine learning and how to use it to solve business problems. It useful resource for anyone who wants to learn more about machine learning for business.
Provides a comprehensive guide to data analytics. It covers the principles of data analysis and how to use data to solve business problems. It useful resource for anyone who wants to learn more about data analytics.
Provides a comprehensive guide to data science for business. It covers the principles of data science and how to use data to make better business decisions. It useful resource for anyone who wants to learn more about data science.
Provides a comprehensive guide to Python for data analysis. It covers the basics of Python and how to use it for data analysis. It useful resource for anyone who wants to learn more about Python for data analysis.
Provides a comprehensive guide to R for data science. It covers the basics of R and how to use it for data science. It useful resource for anyone who wants to learn more about R for data science.
Provides a comprehensive guide to SQL for data science. It covers the basics of SQL and how to use it for data science. It useful resource for anyone who wants to learn more about SQL for data science.
Provides a comprehensive guide to Tableau for beginners. It covers the basics of data visualization, data preparation, and creating dashboards. It useful resource for anyone who wants to learn Tableau from scratch.

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