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Naina Chaturvedi
Welcome to this 1.5 hour long guided project on Data Visualization using Plotnine and ggplot. Plotnine library is a powerful python visualization library based on R's ggplot2 package and a great package to make professional plots. It has the grammar of graphics from ggplot and is used to add layers that control geometries, facets, themes and many constructs.
Read more
Welcome to this 1.5 hour long guided project on Data Visualization using Plotnine and ggplot. Plotnine library is a powerful python visualization library based on R's ggplot2 package and a great package to make professional plots. It has the grammar of graphics from ggplot and is used to add layers that control geometries, facets, themes and many constructs.
Read more
Welcome to this 1.5 hour long guided project on Data Visualization using Plotnine and ggplot. Plotnine library is a powerful python visualization library based on R's ggplot2 package and a great package to make professional plots. It has the grammar of graphics from ggplot and is used to add layers that control geometries, facets, themes and many constructs.
In this project you will learn how to create beautiful visualizations using plotnine and gglot constructs. This guided project is for anyone who wants to learn data visualization or already in the data science field.
Register for this course and see more details by visiting:
OpenCourser.com/course/dem23l/data
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What's inside
Syllabus
Project Overview
Welcome to this 1.5 hour long guided project on Data Visualization using Plotnine and ggplot. Plotnine library is a powerful python visualization library based on R's ggplot2 package and a great package to make professional plots. It has the grammar of graphics from ggplot and is used to add layers that control geometries, facets, themes and many constructs.
In this project you will learn how to create beautiful visualizations using plotnine and gglot constructs. This guided project is for anyone who wants to learn data visualization or already in the data science field and Machine Learning.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides a clear path to creating high-quality visualizations using Plotnine
Suitable for beginners looking to explore data visualization using Python
Course tailored for individuals in data science or those seeking to enter the field
Save this course
Save Data Visualization using Plotnine and ggplot to your list so you can find it easily later:
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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 Data Visualization using Plotnine and ggplot with these
activities:
Engage in peer study groups
Show steps
Joining a peer study group will allow you to collaborate with others, share knowledge, and get help with challenging concepts, leading to a deeper understanding of plotnine and ggplot.
Browse courses on
Data Visualization
Show steps
-
Find or start a study group with other learners
-
Set regular meeting times and stick to them
-
Collaborate on projects and assignments
-
Discuss concepts and ask for help when needed
Complete online tutorials and courses
Show steps
Following along with guided tutorials and courses will provide you with structured instruction and hands-on practice, helping you to build a strong foundation in plotnine and ggplot.
Browse courses on
Data Visualization
Show steps
-
Identify online tutorials and courses that align with your learning goals
-
Set aside time to complete the tutorials and courses regularly
-
Take notes and work through the exercises provided
Create a visualization dashboard
Show steps
Creating a visualization dashboard will help you practice applying the concepts of plotnine and ggplot to a real-world scenario, giving you a deeper understanding of how to use these tools effectively.
Browse courses on
Visualization
Show steps
-
Gather and clean your data
-
Choose the appropriate plot types for your data
-
Create your visualizations using plotnine and ggplot
-
Organize your visualizations into a dashboard
-
Present your dashboard to others for feedback
Two other activities
Expand to see all activities and additional details
Show all five activities
Work through practice problems
Show steps
Working through practice problems specifically tailored to plotnine and ggplot will reinforce your understanding of the concepts and improve your problem-solving abilities in this context.
Browse courses on
Data Visualization
Show steps
-
Find practice problems online or in textbooks
-
Set aside time to work through the problems regularly
-
Check your answers and learn from your mistakes
Attend workshops and conferences
Show steps
Attending workshops and conferences will expose you to experts in the field and provide opportunities to learn about the latest advancements in plotnine and ggplot, expanding your knowledge and skills.
Browse courses on
Data Visualization
Show steps
-
Identify relevant events in your area
-
Register and attend the events
-
Take notes and ask questions during the sessions
-
Connect with other attendees and share knowledge
Engage in peer study groups
Show steps
Joining a peer study group will allow you to collaborate with others, share knowledge, and get help with challenging concepts, leading to a deeper understanding of plotnine and ggplot.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Find or start a study group with other learners
- Set regular meeting times and stick to them
- Collaborate on projects and assignments
- Discuss concepts and ask for help when needed
Complete online tutorials and courses
Show steps
Following along with guided tutorials and courses will provide you with structured instruction and hands-on practice, helping you to build a strong foundation in plotnine and ggplot.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Identify online tutorials and courses that align with your learning goals
- Set aside time to complete the tutorials and courses regularly
- Take notes and work through the exercises provided
Create a visualization dashboard
Show steps
Creating a visualization dashboard will help you practice applying the concepts of plotnine and ggplot to a real-world scenario, giving you a deeper understanding of how to use these tools effectively.
Browse courses on
Visualization
Show steps
Show steps
Show steps
- Gather and clean your data
- Choose the appropriate plot types for your data
- Create your visualizations using plotnine and ggplot
- Organize your visualizations into a dashboard
- Present your dashboard to others for feedback
Two other activities
Expand to see all activities and additional details
Show all five activities
Work through practice problems
Show steps
Working through practice problems specifically tailored to plotnine and ggplot will reinforce your understanding of the concepts and improve your problem-solving abilities in this context.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Find practice problems online or in textbooks
- Set aside time to work through the problems regularly
- Check your answers and learn from your mistakes
Attend workshops and conferences
Show steps
Attending workshops and conferences will expose you to experts in the field and provide opportunities to learn about the latest advancements in plotnine and ggplot, expanding your knowledge and skills.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Identify relevant events in your area
- Register and attend the events
- Take notes and ask questions during the sessions
- Connect with other attendees and share knowledge
Career center
Learners who complete Data Visualization using Plotnine and ggplot will develop knowledge and skills
that may be useful to these careers:
Data Visualization Specialist
Data Visualization Specialist
As a Data Visualization Specialist, you will be responsible for creating data visualizations that communicate insights and information clearly and effectively. This course can help you learn how to use Plotnine and ggplot to create visualizations that meet the specific needs of your audience.
Statistician
Statistician
For professionals like Statisticians who specialize in the collection, analysis, interpretation, and presentation of data, data visualization is a must. Plotnine and ggplot are both excellent data visualization libraries for creating charts and graphs. This course will teach you how to effectively use these tools to help you in presenting data in a compelling and informative way.
Graphic designer
Graphic designer
Graphic Designers who specialize in data visualization can use Plotnine and ggplot to create visually appealing and informative graphics. This course can help Graphic Designers learn the fundamentals of data visualization, which can be helpful for those who want to specialize in this area.
Information Architect
Information Architect
Information Architects use data visualization to create sitemaps, wireframes, and other visual representations of information. This course can help Information Architects learn how to use Plotnine and ggplot to create visualizations that are both informative and visually appealing.
Web Developer
Web Developer
Web Developers who specialize in data visualization can use Plotnine and ggplot to create interactive data visualizations that can be used to explore and analyze data. This course can give you a foundation in the fundamentals of data visualization, which can be helpful for those who want to specialize in this area.
Software Engineer
Software Engineer
Software Engineers who specialize in data visualization can use Plotnine and ggplot to create interactive data visualizations that can be used to explore and analyze data. This course can give you a foundation in the fundamentals of data visualization, which can be helpful for those who want to specialize in this area.
Data Scientist
Data Scientist
As a professional in the ever-rising field of Data Science, you will need to have strong data visualization skills. The course, Data Visualization using Plotnine and ggplot, will help you in building a foundation for data visualization, which will be very helpful in organizing, analyzing, and interpreting data, which can be a very time-intensive and complex process.
UX Researcher
UX Researcher
User Experience (UX) Researchers rely on data visualization to present their findings on user behavior and preferences, which can include creating personas, journey maps, and sitemaps. This course can be particularly helpful for those who want to learn how to use visualization to communicate complex UX research findings to both technical and non-technical stakeholders.
Market Researcher
Market Researcher
Market Researchers need data visualization skills in order to analyze data and present their findings in a clear and concise way. This course can be particularly helpful for those conducting qualitative research via one-on-one interviews or focus groups.
Educator
Educator
Educators who teach data science or data visualization can use Plotnine and ggplot to create visualizations that can be used to illustrate concepts and communicate information. This course can help Educators learn how to use these tools to create visualizations that are both informative and visually appealing.
Journalist
Journalist
Journalists who specialize in data journalism can use Plotnine and ggplot to create data visualizations that can be used to tell stories and communicate information. This course can help Journalists learn how to use these tools to create visualizations that are both informative and visually appealing.
Business Analyst
Business Analyst
Through the use of data visualization, Business Analysts can translate complex data into easy-to-understand formats that aid in the decision-making process. This is just one of the many ways that data visualization can be used in Business Analysis, and Plotnine and ggplot are two great tools for the job.
Product Manager
Product Manager
Product Managers use data visualization to track key metrics and make data driven decisions. This course can help Product Managers learn how to use Plotnine and ggplot to create visualizations that can be used to communicate product roadmaps, track progress, and make informed decisions.
Science Writer
Science Writer
Science Writers need to be able to communicate complex scientific information in a clear and concise way. Data visualization is a powerful tool that can be used to do this. This course can help Science Writers learn how to use Plotnine and ggplot to create visualizations that can communicate complex scientific concepts to a general audience.
Data Analyst
Data Analyst
Data Analysts rely on methods and techniques to examine, cleanse, manipulate, and model data. Data visualization plays a key role in this process, as it helps you present your findings in a clear and concise way. This course can give you a leg up in mastering these important skills.
For more career information including salaries, visit:
OpenCourser.com/course/dem23l/data
Reading list
We've selected seven 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 using Plotnine and ggplot.
Ggplot2 provides a concise and layered grammar of graphics that makes it easy to create complex visualizations. provides a comprehensive guide to using ggplot2 for data visualization.
Save
This classic book on data visualization provides a comprehensive overview of the principles and techniques used in data visualization, including methods for choosing appropriate visual representations, evaluating visualizations, and best practices for presenting data effectively.
Provides a comprehensive overview of the principles and techniques used in data visualization. It covers the basics of data visualization, as well as more advanced topics such as creating interactive visualizations and using data visualization for storytelling.
Provides a comprehensive overview of the grammar of graphics, a formal language for describing visualizations. It covers the basics of the grammar of graphics, as well as more advanced topics such as using the grammar of graphics to create interactive visualizations.
Provides a comprehensive overview of the principles and techniques used in data visualization, including methods for choosing appropriate visual representations, evaluating visualizations, and best practices for presenting data effectively.
Save
Provides a comprehensive overview of the principles and techniques used in data visualization. It covers the basics of data visualization, as well as more advanced topics such as creating interactive visualizations and using data visualization for storytelling.
Provides a comprehensive guide to using R for data visualization. It covers the basics of data visualization, as well as more advanced topics such as creating interactive visualizations and using R for data exploration.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/dem23l/data
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Effort
1.5 hours
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Naina Chaturvedi
Language
English
Good to know
Provides a clear path to creating high-quality visualizations using Plotnine
Suitable for beginners looking to explore data visualization using Python
Course tailored for individuals in data science or those seeking to enter the field
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