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Carmen Rojas

Google Data Studio is a powerful tool that turns data into reports that easy decision-making tools that lead to better business outcomes. Google Data Studio is easy to use, free and works seamlessly with dozens of applications within and outside of the Google Marketing Suite. You can use Google Studio to connect and integrate data from 100’s of applications including Facebook, Constant Contact, Google Ads, and more. You do not need an advanced background in data, statistics, or graphic arts to create meaningful reports that tell data stories, improve understanding of complex situations, and allow users of all skill levels to analyze data.

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Google Data Studio is a powerful tool that turns data into reports that easy decision-making tools that lead to better business outcomes. Google Data Studio is easy to use, free and works seamlessly with dozens of applications within and outside of the Google Marketing Suite. You can use Google Studio to connect and integrate data from 100’s of applications including Facebook, Constant Contact, Google Ads, and more. You do not need an advanced background in data, statistics, or graphic arts to create meaningful reports that tell data stories, improve understanding of complex situations, and allow users of all skill levels to analyze data.

At the end of this project, you will learn how to create an account, how to navigate the platform, and will create a custom dashboard that will allow you to see the data you need to make business decisions. Together, we will explore the basics of business data and visualization and you will surprise yourself with how easy it is to understand and use data.

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

Create A Custom Marketing Analytics Dashboard in Google Data Studio
By the end of this project, you will learn how to create a Google Data Studio account, how to navigate the platform, and will create a custom dashboard that will allow you to see the data you need to make business decisions.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Develops business data and visualization skills, which are core skills for marketing analytics
Taught by Carmen Rojas, who is recognized for their work in Google Data Studio
Examines Google Data Studio, which is highly relevant to marketing
Develops professional skills in Google Data Studio, which is useful for career advancement
Teaches skills that are highly relevant to industry standards

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Reviews summary

Understand data studio quickly

According to students, the Data Studio course provides a brief overview of how to create custom marketing analytics dashboards. Learners say that the course is good for beginners or those looking for a quick introduction to the tool. Despite reviewers enjoying the course, they mention that it's important to have clean data beforehand. A number of reviews mention that they did not have access to the data files needed to complete the exercises. Due to this, some reviewers were unable to follow along and complete the course.
Good for those new to Data Studio.
"Beginner level Course"
"I had around two hours hands on experience with Looker and the only new thing I learned, was that the size of the font should not be more than the half of the age of the target viewers."
The course does not provide data files for exercises.
"A guided project that doesn't provide the dataset needed in the project, so all you can do is watch what's the instructor is doing but is not able to follow along."
"I didn't have access to the files required to follow the instructor's instructions."
"I didn't have access to any of the data files the instructor was using."

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 Create a Custom Marketing Analytics Dashboard in Data Studio with these activities:
Review Course Resources
Get organized and review the provided materials including syllabus, assignments, and any provided handouts to gain an overview of the course content and expectations.
Show steps
  • Collect and organize course materials
  • Review syllabus and course description
  • Preview assignments and handouts
Course overview
Reviewing the course overview will set a context for the course and establish the main objective and that will help in designing the Google Data Studio dashboards
Show steps
  • Read the course syllabus
  • Watch the welcome video
  • Review the course objectives
Getting started with Google Data Studio
Following tutorials will provide practical guidance in using Google Data Studio for data visualization
Browse courses on Google Data Studio
Show steps
  • Watch a tutorial on Google Data Studio
  • Create a sample dashboard
  • Explore different chart types
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Interactive Simulations and Tutorials
Reinforce concepts through interactive simulations and tutorials available on the course platform, such as Google Data Studio demos and Google Analytics exercises.
Show steps
  • Explore Google Data Studio simulations
  • Complete Google Analytics tutorials
  • Practice creating custom reports
Connecting and integrating data
Practicing data manipulation, integration, and connection techniques will strengthen understanding and proficiency
Browse courses on Data Manipulation
Show steps
  • Connect to a data source
  • Integrate multiple data sources
  • Manipulate data using formulas
Dashboard design project
Undertaking a dashboard design project will provide hands-on experience in applying data visualization principles
Browse courses on Data Storytelling
Show steps
  • Identify a business question
  • Gather and prepare data
  • Design and create a dashboard
Visualize Real-world Data
Apply course concepts to real-world data by creating dashboards that analyze actual business metrics. This will provide practical experience and enhance your understanding.
Show steps
  • Choose a relevant data set
  • Design a custom dashboard
  • Interpret and analyze results
Peer-to-peer dashboard review
Peer review sessions foster feedback and enable learners to improve their dashboard design skills
Browse courses on Collaboration
Show steps
  • Share your dashboard with peers
  • Review and provide feedback
  • Incorporate feedback into dashboard design
Dashboard presentation
A presentation will challenge learners to synthesize information and communicate findings effectively
Browse courses on Presentation Skills
Show steps
  • Prepare a presentation on dashboard insights
  • Deliver the presentation
  • Receive and incorporate feedback
Dashboard implementation project
An implementation project will encourage practical application of dashboard insights for problem-solving
Show steps
  • Identify a business problem
  • Design and implement a dashboard solution
  • Monitor and evaluate dashboard impact

Career center

Learners who complete Create a Custom Marketing Analytics Dashboard in Data Studio will develop knowledge and skills that may be useful to these careers:
Digital Marketing Specialist
A Digital Marketing Specialist uses digital channels such as social media, search engines, and email to promote products or services. They analyze data to track campaign performance, identify trends, and optimize digital marketing strategies. This course will be helpful for Digital Marketers who want to learn how to create custom marketing analytics dashboards in Google Data Studio. It provides the skills needed to monitor campaign performance and make data-driven decisions to improve digital marketing strategies.
Marketing Manager
A Marketing Manager plans, develops, and executes marketing campaigns to achieve business goals. They use data analysis to track the effectiveness of marketing campaigns, identify trends, and make data-driven decisions. This course helps you to create custom marketing analytics dashboards in Google Data Studio, this will help you monitor and analyze campaign results, and make informed decisions to optimize marketing strategies.
Marketing Data Analyst
A Marketing Data Analyst collects and analyzes customer and marketing data to optimize marketing campaigns and improve business outcomes. They use their analytical skills to identify trends, interpret data, and make recommendations to improve marketing strategies. This course, which teaches you how to create a custom marketing analytics dashboard in Google Data Studio, can help build a foundation of skills needed for this role. You will learn how to visualize data and uncover insights that can help improve marketing strategies and business outcomes.
Market Researcher
A Market Researcher conducts market research to understand consumer behavior, market trends, and industry dynamics. They analyze data to identify opportunities, develop marketing strategies, and make informed business decisions. This course, which teaches how to create a custom marketing analytics dashboard in Google Data Studio, can be useful for gaining practical experience. It provides hands-on skills in creating custom dashboards that can be used to track key metrics and visualize data, helping Market Researchers understand consumer behavior and make informed decisions.
Business Analyst
A Business Analyst uses data analysis to identify business problems, develop solutions, and improve business outcomes. They work with stakeholders to understand business needs, collect and analyze data, and make recommendations to improve business processes and decision-making. This course, by giving you the tools to create a custom marketing analytics dashboard in Google Data Studio, can help you develop the skills needed for this role. The course provides hands-on experience in data analysis and visualization, which can help you understand business problems and develop solutions.
Web Analyst
A Web Analyst collects and analyzes data from websites and other digital platforms to improve website performance and user experience. They use their analytical skills to understand user behavior, identify trends, and optimize websites for better results. This course in creating custom marketing analytics dashboards in Google Data Studio may help build a foundation in the skills needed for this role. It will help you gain the skills needed to collect and analyze data from websites and other digital platforms.
Data Analyst
A Data Analyst can monitor and analyze the effectiveness of marketing campaigns, which may include establishing KPIs, tracking key metrics, and interpreting data to find actionable insights. This course, by teaching you how to create a custom marketing analytics dashboard in Google Data Studio, may be useful for building a foundation. Moreover, Data Analysts leverage their technical and analytical skills to transform complex data into actionable insights and support decision-making. The skills in dashboard building and data analysis you can gain from this course may help in your journey toward becoming a Data Analyst.
Data Scientist
A Data Scientist uses advanced statistical and machine learning techniques to extract insights from data. They develop models and algorithms to solve business problems, improve decision-making, and predict future outcomes. While this course in creating a custom marketing analytics dashboard in Google Data Studio may not directly align with the core responsibilities of a Data Scientist, the skills learned, such as data analysis and visualization, can complement the technical skills needed for this role and may be useful in certain contexts.
Quantitative Analyst
A Quantitative Analyst uses mathematical and statistical models to analyze data and make investment decisions. They use their analytical skills to identify trends, forecast future outcomes, and manage risk. This course in creating a custom marketing analytics dashboard in Google Data Studio may be useful for gaining an understanding of data analysis and visualization. Although the focus of this course is on marketing data, the skills learned can be applied to other domains, including finance.
Operations Research Analyst
An Operations Research Analyst uses mathematical and analytical techniques to solve business problems and improve operational efficiency. They develop models, analyze data, and make recommendations to optimize business processes and decision-making. While this course in creating a custom marketing analytics dashboard in Google Data Studio may not directly align with the core responsibilities of an Operations Research Analyst, the skills learned, such as data analysis and visualization, can complement the technical skills needed for this role and may be useful in certain contexts.
Management Consultant
A Management Consultant provides consulting services to businesses and organizations to help them improve their performance. They analyze data, identify problems, and develop solutions to help clients achieve their business goals. While this course in creating a custom marketing analytics dashboard in Google Data Studio may not directly align with the core responsibilities of a Management Consultant, the skills learned, such as data analysis and visualization, can complement the technical skills needed for this role and may be useful in certain contexts, such as when analyzing marketing data.
Product Manager
A Product Manager is responsible for the development and launch of new products. They work with stakeholders to define product requirements, develop product roadmaps, and ensure product success. While this course in creating a custom marketing analytics dashboard in Google Data Studio may not directly align with the core responsibilities of a Product Manager, the skills learned, such as data analysis and visualization, can complement the technical skills needed for this role and may be useful in certain contexts, such as when analyzing marketing data to understand customer needs and preferences.
UX Researcher
A UX Researcher conducts user research to understand user needs and improve the user experience of products and services. They use data analysis to identify user pain points, develop solutions, and make recommendations to improve user experience. This course in creating a custom marketing analytics dashboard in Google Data Studio may be useful for gaining an understanding of data analysis and visualization. Although the focus of this course is on marketing data, the skills learned can be applied to other domains, including user experience research.
Data Engineer
A Data Engineer designs, builds, and maintains data pipelines and infrastructure. They work with data scientists and other stakeholders to ensure that data is accessible, reliable, and secure. This course in creating a custom marketing analytics dashboard in Google Data Studio may be useful for gaining an understanding of data visualization. Although the focus of this course is on marketing data, the skills learned can be applied to other domains, including data engineering.
Software Engineer
A Software Engineer designs, develops, and maintains software applications. They work with stakeholders to understand software requirements, develop software solutions, and ensure software quality. While this course in creating a custom marketing analytics dashboard in Google Data Studio may not directly align with the core responsibilities of a Software Engineer, the skills learned, such as data visualization, can complement the technical skills needed for this role and may be useful in certain contexts, such as when developing software applications for data analysis and visualization.

Reading list

We've selected six 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 Create a Custom Marketing Analytics Dashboard in Data Studio.
A concise and practical guide to web analytics, providing actionable insights into website traffic, user behavior, and conversion optimization.
A comprehensive and widely-used guide to R for data science, covering data manipulation, analysis, visualization, and machine learning.
A practical guide to using Python for data analysis, providing a hands-on approach to data manipulation, visualization, and statistical modeling.
A practical guide to using SQL for data analysis, providing a comprehensive overview of data querying, manipulation, and aggregation.

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