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Carmen Rojas

By the end of this project, learners will be able to choose a method for illustrating data. They will learn about different types of graphs and which type of graph is best suited to the type of information you want to share. Tableau is a great tool to use if you have plans to display data for making business decisions.

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Syllabus

Project Overview
By the end of this project, you will be able to choose a method for illustrating data. You will learn about different types of graphs and which type of graph is best suited to the type of information you want to share. Tableau is a great tool to use if you have plans to display data used to make business decisions.

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Focuses on a practical skill in which learners can apply new data visualization skills to Tableau
Specifically targets learners who want to visualize data for business decision making

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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 Choosing Which Method Is Best For Illustrating Data with these activities:
Review general data visualization concepts
Revisit general data visualization principles to strengthen your foundation and enhance your ability to choose the most appropriate graph type for your data.
Browse courses on Data Representation
Show steps
  • Refer to previous notes, textbooks, or online resources to refresh your understanding of data visualization concepts such as scales, axes, and visual encoding.
  • Practice creating simple graphs (e.g., bar charts, line charts) to reinforce your understanding.
Explore Tableau tutorials
Familiarize yourself with Tableau's interface and basic functionality, enabling you to effectively utilize the tool for data visualization.
Browse courses on Data Visualization Tools
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  • Access Tableau's official website or online platforms to find introductory tutorials.
  • Follow the tutorials step-by-step, practicing data importing, data manipulation, and graph creation.
Participate in discussion forums or study groups
Engage with fellow learners to discuss course concepts, exchange ideas, and gain diverse perspectives on data visualization and Tableau.
Show steps
  • Identify or create online discussion forums or study groups related to data visualization or Tableau.
  • Actively participate in discussions, sharing your insights, asking questions, and providing feedback to others.
  • Collaborate on projects or assignments, leveraging the collective knowledge and skills of the group.
Three other activities
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Practice data visualization exercises
Apply your knowledge and skills in data visualization by working through exercises, solidifying your understanding of different graph types and how to present data effectively.
Browse courses on Visualizing Data
Show steps
  • Find online resources or textbooks that provide data visualization exercises.
  • Choose datasets relevant to your interests or career field.
  • Visualize the data using Tableau, experimenting with different graph types and visual elements.
  • Evaluate your visualizations for clarity, effectiveness, and adherence to best practices.
Develop a Tableau dashboard
Create an interactive Tableau dashboard to demonstrate your ability to synthesize and present data in a meaningful and visually appealing way.
Browse courses on Tableau Dashboard
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  • Identify a dataset that aligns with your interests or a specific problem you want to address.
  • Design the dashboard, considering the target audience, data insights, and visual hierarchy.
  • Create interactive visualizations and dashboards using Tableau's features.
  • Share your dashboard with others for feedback and insights.
Connect with data visualization professionals
Seek guidance and support from experienced data visualization professionals to enhance your learning and career development.
Browse courses on Mentorship
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  • Identify potential mentors through LinkedIn, industry events, or online communities.
  • Reach out to your identified mentors, expressing your interest in data visualization and seeking their guidance.
  • Schedule regular meetings or conversations to discuss your progress, ask questions, and gain industry insights.

Career center

Learners who complete Choosing Which Method Is Best For Illustrating Data will develop knowledge and skills that may be useful to these careers:
Data Visualization Specialist
Data Visualization Specialists are responsible for creating visual representations of data. This course can help you develop the skills needed to be a successful Data Visualization Specialist by teaching you how to choose the right method for illustrating data. This is an important skill for Data Visualization Specialists to have because it allows them to effectively communicate their findings to stakeholders.
Data Scientist
Data Scientists are responsible for developing and implementing mathematical and statistical models to solve complex business problems. This course can help you develop the skills needed to be a successful Data Scientist by teaching you how to choose the right method for illustrating data. This is an important skill for Data Scientists to have because it allows them to effectively communicate their findings to stakeholders.
Machine Learning Engineer
Machine Learning Engineers are responsible for designing and developing machine learning models. This course can help you develop the skills needed to be a successful Machine Learning Engineer by teaching you how to choose the right method for illustrating data. This is an important skill for Machine Learning Engineers to have because it allows them to effectively communicate their vision for a machine learning model to stakeholders.
Business Analyst
Business Analysts are responsible for analyzing business processes and identifying opportunities for improvement. This course can help you develop the skills needed to be a successful Business Analyst by teaching you how to choose the right method for illustrating data. This is an important skill for Business Analysts to have because it allows them to effectively communicate their findings to stakeholders.
Software Engineer
Software Engineers are responsible for designing, developing, and maintaining software applications. This course can help you develop the skills needed to be a successful Software Engineer by teaching you how to choose the right method for illustrating data. This is an important skill for Software Engineers to have because it allows them to effectively communicate their vision for a software application to stakeholders.
Data Analyst
Data Analysts are professionals who are responsible for collecting, analyzing, and interpreting data to help businesses make informed decisions. This course can help you develop the skills needed to be a successful Data Analyst by teaching you how to choose the right method for illustrating data. This is an important skill for Data Analysts to have because it allows them to effectively communicate their findings to stakeholders.
Web Developer
Web Developers are responsible for designing and developing websites. This course can help you develop the skills needed to be a successful Web Developer by teaching you how to choose the right method for illustrating data. This is an important skill for Web Developers to have because it allows them to effectively communicate their vision for a website to stakeholders.
Financial Analyst
Financial Analysts are responsible for analyzing financial data and making recommendations to investors. This course can help you develop the skills needed to be a successful Financial Analyst by teaching you how to choose the right method for illustrating data. This is an important skill for Financial Analysts to have because it allows them to effectively communicate their findings to stakeholders.
Product Manager
Product Managers are responsible for developing and launching new products. This course can help you develop the skills needed to be a successful Product Manager by teaching you how to choose the right method for illustrating data. This is an important skill for Product Managers to have because it allows them to effectively communicate their vision for a product to stakeholders.
Data Engineer
Data Engineers are responsible for designing and building data pipelines. This course can help you develop the skills needed to be a successful Data Engineer by teaching you how to choose the right method for illustrating data. This is an important skill for Data Engineers to have because it allows them to effectively communicate their vision for a data pipeline to stakeholders.
Graphic designer
Graphic Designers are responsible for creating visual content. This course can help you develop the skills needed to be a successful Graphic Designer by teaching you how to choose the right method for illustrating data. This is an important skill for Graphic Designers to have because it allows them to effectively communicate their vision for a visual design to stakeholders.
Market Researcher
Market Researchers are responsible for collecting and analyzing data about consumer behavior. This course can help you develop the skills needed to be a successful Market Researcher by teaching you how to choose the right method for illustrating data. This is an important skill for Market Researchers to have because it allows them to effectively communicate their findings to stakeholders.
User Experience Designer
User Experience Designers are responsible for designing and evaluating user interfaces. This course can help you develop the skills needed to be a successful User Experience Designer by teaching you how to choose the right method for illustrating data. This is an important skill for User Experience Designers to have because it allows them to effectively communicate their vision for a user interface to stakeholders.
Management Consultant
Management Consultants are responsible for helping businesses improve their operations. This course can help you develop the skills needed to be a successful Management Consultant by teaching you how to choose the right method for illustrating data. This is an important skill for Management Consultants to have because it allows them to effectively communicate their findings to stakeholders.
Information Architect
Information Architects are responsible for designing and organizing information systems. This course can help you develop the skills needed to be a successful Information Architect by teaching you how to choose the right method for illustrating data. This is an important skill for Information Architects to have because it allows them to effectively communicate their vision for an information system to stakeholders.

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 Choosing Which Method Is Best For Illustrating Data.
Provides a comprehensive overview of data visualization techniques and best practices. It covers a wide range of topics, from basic chart types to advanced visualization techniques.
Classic in the field of data visualization. It provides a detailed overview of the principles of data visualization, and it offers many examples of effective and ineffective visualizations.
Provides a practical guide to creating effective data visualizations. It covers a wide range of topics, from choosing the right chart type to designing effective dashboards.
Provides a practical guide to designing effective information dashboards. It covers a wide range of topics, from the basics of dashboard design to advanced techniques.
Provides a practical guide to data fluency. It covers a wide range of topics, from the basics of data literacy to advanced techniques for communicating data effectively.
Provides a comprehensive overview of the field of information visualization. It covers a wide range of topics, from the history of information visualization to the latest advances in the field.
Provides a practical guide to creating effective data visualizations. It covers a wide range of topics, from choosing the right chart type to designing effective dashboards.
Provides a comprehensive overview of machine learning with Spark. It covers a wide range of topics, from the basics of machine learning to advanced techniques for data mining and machine learning.
Provides a comprehensive overview of advanced analytics with Spark. It covers a wide range of topics, from the basics of Spark to advanced techniques for data mining and machine learning.
Provides a comprehensive overview of data visualization using R, a popular statistical programming language. It covers a wide range of topics, from basic chart types to advanced visualization techniques.

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