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Data Visualization
Brad Batesole,
Anke Audenaert,
Mat Leonard,
Dana Sheahen,
and
Josh Bernhard
Brad Batesole,
Anke Audenaert,
Mat Leonard,
Dana Sheahen,
and
Josh Bernhard
Learn how to select the most appropriate data visualization for an analysis. Learn how to evaluate the effectiveness of a data visualization and build interactive and engaging Tableau dashboards.
Register for this course and see more details by visiting:
OpenCourser.com/course/2liyii/data
What's inside
Syllabus
In this lesson you learn to evaluate the quality of data visualizations and build high quality visualizations, starting with the fundamentals of data dashboards.
Read more
Syllabus
In this lesson you learn to evaluate the quality of data visualizations and build high quality visualizations, starting with the fundamentals of data dashboards.
Read more
In this lesson you learn to implement the best design practices, and to use the most appropriate chart for a particular situation.
Project - Storytelling With Data
This lesson teaches you how to build data visualizations in Tableau using data hierarchies, filters, groups, sets, and calculated fields, as well as create map-based data visualizations in Tableau.
In this lesson you learn how to build interactive Tableau dashboards and tell impactful stories using data.
In this project, you’ll build interactive dashboards with Tableau and use them to discover and communicate insights from data.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Suitable for individuals seeking to enhance their data visualization skills, particularly those with some understanding of data analysis
Led by experienced instructors with a strong reputation in data visualization
Focuses on practical application, teaching how to create interactive and impactful Tableau dashboards
Provides a comprehensive overview of data visualization techniques and best practices
May require prior experience in data analysis or visualization for optimal understanding
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Activities
Coming soon
We're preparing activities for
Data Visualization.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Data Visualization will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts use data to help make better decisions. They may work with various data sources to help answer business questions using data analysis and data mining. They often work in business intelligence or data science teams. This course could be a valuable tool for a Data Analyst because it teaches them how to create visualizations to convey data-driven insights.
Data Scientist
Data Scientist
Data Scientists leverage a combination of statistics, computer science, data analysis, and machine learning to extract insights from data and build predictive models. They solve complex problems using big data to help businesses make better decisions. This course can be a great resource for Data Scientists who want to know how to create effective data visualizations.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts create reports and dashboards to help businesses make better decisions. They collaborate with stakeholders to gather requirements and translate business objectives into technical requirements. This course could be helpful for a Business Intelligence Analyst because it teaches them how to create clear and concise data visualizations.
Data Visualization Specialist
Data Visualization Specialist
Data Visualization Specialists use their expertise in data visualization and computer graphics to transform data into visual representations. They create charts, graphs, and other visual aids that help communicate insights from data. This course may be beneficial for a Data Visualization Specialist because it teaches them how to use Tableau, a widely-used tool in the industry.
Data Engineer
Data Engineer
Data Engineers design, build, and maintain data pipelines and databases. They work with data scientists and other data professionals to ensure that data is available and accessible for analysis. This course could be helpful for a Data Engineer because it teaches them how to create data visualizations that can be used to monitor data pipelines and identify potential issues.
User Experience Designer
User Experience Designer
User Experience Designers focus on creating a positive and seamless experience for users when interacting with a product or service. They use research and testing to understand user needs and create designs that meet those needs. This course could be helpful for a User Experience Designer because it teaches them how to create data visualizations that are clear, concise, and visually appealing.
Product Manager
Product Manager
Product Managers are responsible for the development and management of products. They work with cross-functional teams to gather requirements, define product vision, and prioritize features. This course may be useful for a Product Manager because it teaches them how to use data visualization to understand user behavior and make data-driven decisions.
Data Journalist
Data Journalist
Data Journalists use data analysis and data visualization to tell stories and communicate insights. They work with editors and reporters to create visually engaging stories that are accessible to a wide audience. This course could be a valuable tool for a Data Journalist because it teaches them how to create data visualizations that are both informative and engaging.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, build, and deploy machine learning models. They work with data scientists and other data professionals to develop solutions to complex problems. This course may be useful for a Machine Learning Engineer because it teaches them how to create data visualizations that can be used to monitor the performance of machine learning models.
Marketing Analyst
Marketing Analyst
Marketing Analysts use data to understand customer behavior and develop marketing strategies. They work with marketing teams to create targeted campaigns and measure the effectiveness of marketing efforts. This course may be useful for a Marketing Analyst because it teaches them how to create data visualizations that can be used to track marketing performance and identify areas for improvement.
Statistician
Statistician
Statisticians collect, analyze, interpret, and present data. They work in a variety of industries, including healthcare, finance, and manufacturing. This course may be useful for a Statistician because it teaches them how to create data visualizations that can be used to communicate statistical findings.
Information Architect
Information Architect
Information Architects design and organize information systems to make them easy to find and use. They work with users and stakeholders to understand their needs and develop solutions that meet those needs. This course may be useful for an Information Architect because it teaches them how to create data visualizations that can be used to represent complex information in a clear and concise way.
Software Developer
Software Developer
Software Developers design, build, and maintain software applications. They work with users and stakeholders to gather requirements and develop software solutions that meet those requirements. This course may be helpful for a Software Developer because it teaches them how to create data visualizations that can be used to track the progress of software development projects and identify potential issues.
Database Administrator
Database Administrator
Database Administrators design, build, and maintain databases. They work with database users and stakeholders to gather requirements and develop database solutions that meet those requirements. This course may be useful for a Database Administrator because it teaches them how to create data visualizations that can be used to monitor the performance of databases and identify potential issues.
Systems Analyst
Systems Analyst
Systems Analysts design and implement computer systems. They work with users and stakeholders to gather requirements and develop systems solutions that meet those requirements. This course may be useful for a Systems Analyst because it teaches them how to create data visualizations that can be used to document system requirements and track the progress of system development projects.
For more career information including salaries, visit:
OpenCourser.com/course/2liyii/data
Reading list
We've selected 11 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
Data Visualization.
Save
A classic work on data visualization theory and practice, presenting principles for designing effective and clear graphics.
Focuses on using data to tell compelling stories that engage audiences and drive decision-making.
Save
Presents a unique and thought-provoking exploration of the relationship between visual complexity and data understanding.
Covers techniques for creating interactive data visualizations using web technologies such as D3.js.
Save
Introduces the ggplot2 package for R, providing a concise and flexible framework for creating data visualizations.
Provides comprehensive coverage of data visualization principles and techniques, including best practices for designing effective visualizations.
Demonstrates how to use Python and JavaScript libraries to create interactive and engaging data visualizations.
Save
Examines the ethical and cognitive considerations of data visualization, emphasizing the importance of truthfulness and accuracy.
Save
Provides a comprehensive introduction to the R programming language for data science, including data visualization capabilities.
Introduces the fundamentals of data visualization, making it accessible to beginners and non-technical audiences.
Save
Presents a collection of real-world examples of data visualizations, highlighting their strengths and weaknesses.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/2liyii/data
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Time
24480 hours
Level
Introductory
Via
Udacity
Instructors
Brad Batesole
Anke Audenaert
Mat Leonard
Dana Sheahen
Josh Bernhard
Language
English
Good to know
Suitable for individuals seeking to enhance their data visualization skills, particularly those with some understanding of data analysis
Led by experienced instructors with a strong reputation in data visualization
Focuses on practical application, teaching how to create interactive and impactful Tableau dashboards
Provides a comprehensive overview of data visualization techniques and best practices
May require prior experience in data analysis or visualization for optimal understanding
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