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Crash Course on Interactive Data Visualization with Plotly
Ryan Ahmed
Ryan Ahmed
In this hands-on project, we will understand the fundamentals of interactive data visualization using Plolty Express. Plotly Express is a powerful Python package that empowers anyone to create, manipulate and render graphical figures with very few lines of code. Plotly Express is the recommended entry-point into the plotly package. We will leverage Plotly Express to generate interactive single Line plots, multiple line plots, histograms, pie charts, scatterplots, bubble charts, and bar charts.
Read more
In this hands-on project, we will understand the fundamentals of interactive data visualization using Plolty Express. Plotly Express is a powerful Python package that empowers anyone to create, manipulate and render graphical figures with very few lines of code. Plotly Express is the recommended entry-point into the plotly package. We will leverage Plotly Express to generate interactive single Line plots, multiple line plots, histograms, pie charts, scatterplots, bubble charts, and bar charts.
Read more
In this hands-on project, we will understand the fundamentals of interactive data visualization using Plolty Express. Plotly Express is a powerful Python package that empowers anyone to create, manipulate and render graphical figures with very few lines of code. Plotly Express is the recommended entry-point into the plotly package. We will leverage Plotly Express to generate interactive single Line plots, multiple line plots, histograms, pie charts, scatterplots, bubble charts, and bar charts.
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/2n3yez/crash
What's inside
Syllabus
Project Overview
In this hands-on project, we will understand the fundamentals of interactive data visualization using Plolty Express. Plotly Express is a powerful Python package that empowers anyone to create, manipulate and render graphical figures with very few lines of code. Plotly Express is the recommended entry-point into the plotly package. We will leverage Plotly Express to generate interactive single Line plots, multiple line plots, histograms, pie charts, scatterplots, bubble charts, and bar charts.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Emphasizes hands-on practice, fostering a practical understanding of interactive data visualization techniques
Provides an entry point into the Plotly package, simplifying interactive data visualization for beginners
Utilizes Plotly Express, a powerful Python package that facilitates the creation and manipulation of graphical figures with minimal code
Encompasses various chart types, empowering learners to visualize data effectively for different purposes
Exclusively for learners in the North America region, potentially limiting accessibility for a wider audience
Save this course
Save Crash Course on Interactive Data Visualization with Plotly 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 Crash Course on Interactive Data Visualization with Plotly with these
activities:
Review Python basics and data manipulation techniques
Show steps
Refreshing your knowledge of Python and data manipulation will strengthen your foundation for the course.
Browse courses on
Python
Show steps
-
Review basic Python syntax and data structures
-
Practice data manipulation techniques (e.g., slicing, indexing, reshaping)
Join a study group to discuss Plotly Express
Show steps
Participating in a study group will provide opportunities to collaborate with peers, ask questions, and reinforce your understanding through active discussion.
Browse courses on
Plotly Express
Show steps
-
Find or create a study group with classmates
-
Meet regularly to discuss the course material
Follow online tutorials and documentation on Plotly Express
Show steps
Following tutorials and documentation will provide you with additional resources to reinforce the concepts and techniques covered in the course.
Browse courses on
Plotly Express
Show steps
-
Identify reputable sources for tutorials and documentation
-
Follow step-by-step instructions
Three other activities
Expand to see all activities and additional details
Show all six activities
Practice creating interactive plots using Plotly Express
Show steps
Practice creating various types of interactive plots to reinforce your understanding of the concepts covered in the course.
Browse courses on
Interactive Data Visualization
Show steps
-
Generate different types of charts (e.g., line, bar, scatter, pie)
-
Customize plot settings (e.g., title, axes labels, color schemes)
-
Experiment with different data sets
Create a tutorial or guide on using Plotly Express
Show steps
Creating a tutorial or guide will solidify your understanding of Plotly Express and allow you to share your knowledge with others.
Browse courses on
Plotly Express
Show steps
-
Choose a specific topic or concept to cover
-
Write clear and concise instructions
-
Provide examples and code snippets
Create a data visualization project using Plotly Express
Show steps
Creating a project will allow you to apply your skills to a practical scenario and demonstrate your proficiency in using Plotly Express.
Browse courses on
Data Visualization
Show steps
-
Define a problem or question to solve
-
Gather and clean data
-
Create interactive plots using Plotly Express
-
Analyze the results and draw conclusions
Review Python basics and data manipulation techniques
Show steps
Refreshing your knowledge of Python and data manipulation will strengthen your foundation for the course.
Browse courses on
Python
Show steps
Show steps
Show steps
- Review basic Python syntax and data structures
- Practice data manipulation techniques (e.g., slicing, indexing, reshaping)
Join a study group to discuss Plotly Express
Show steps
Participating in a study group will provide opportunities to collaborate with peers, ask questions, and reinforce your understanding through active discussion.
Browse courses on
Plotly Express
Show steps
Show steps
Show steps
- Find or create a study group with classmates
- Meet regularly to discuss the course material
Follow online tutorials and documentation on Plotly Express
Show steps
Following tutorials and documentation will provide you with additional resources to reinforce the concepts and techniques covered in the course.
Browse courses on
Plotly Express
Show steps
Show steps
Show steps
- Identify reputable sources for tutorials and documentation
- Follow step-by-step instructions
Three other activities
Expand to see all activities and additional details
Show all six activities
Practice creating interactive plots using Plotly Express
Show steps
Practice creating various types of interactive plots to reinforce your understanding of the concepts covered in the course.
Browse courses on
Interactive Data Visualization
Show steps
Show steps
Show steps
- Generate different types of charts (e.g., line, bar, scatter, pie)
- Customize plot settings (e.g., title, axes labels, color schemes)
- Experiment with different data sets
Create a tutorial or guide on using Plotly Express
Show steps
Creating a tutorial or guide will solidify your understanding of Plotly Express and allow you to share your knowledge with others.
Browse courses on
Plotly Express
Show steps
Show steps
Show steps
- Choose a specific topic or concept to cover
- Write clear and concise instructions
- Provide examples and code snippets
Create a data visualization project using Plotly Express
Show steps
Creating a project will allow you to apply your skills to a practical scenario and demonstrate your proficiency in using Plotly Express.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Define a problem or question to solve
- Gather and clean data
- Create interactive plots using Plotly Express
- Analyze the results and draw conclusions
Career center
Learners who complete Crash Course on Interactive Data Visualization with Plotly will develop knowledge and skills
that may be useful to these careers:
Data Visualization Analyst
Data Visualization Analyst
Data Visualization Analysts design and construct visualizations that explain the relationship between data points. This course may help one who wants to perform well in a Data Visualization Analyst job, as it offers a focused study of how to work with a variety of data visualization tools.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts use data to help businesses make informed decisions. They create data visualizations that help businesses understand their data. This course may help one who wants to perform well in a Business Intelligence Analyst job, as it offers a focused study of how to work with a variety of data visualization tools.
Market Research Analyst
Market Research Analyst
Market Research Analysts perform market studies that evaluate market trends. They present their findings and insights using graphs, charts, and other data visualization tools. This course may help build skills that a Market Research Analyst needs to succeed, as it offers a focused study of how to work with a variety of data visualization tools.
Statistician
Statistician
Statisticians collect, analyze, and interpret data. They use this knowledge to make inferences about the world. This course may help one preparing to build a career as a Statistician, as it offers a focused study of how to work with a variety of data visualization tools.
Research Analyst
Research Analyst
Research Analysts study market trends, economic data, and other information in order to make recommendations. They present their findings and insights using graphs, charts, and other data visualization tools. This course may help one preparing to build a career as a Research Analyst, as it offers a focused study of how to work with a variety of data visualization tools.
Data Scientist
Data Scientist
Data Scientists build models that ingest and analyze data. They create special visualizations that help determine why, or how, something happened. This course helps Data Scientists by providing a framework with which to construct and share their data visualization products.
Data Engineer
Data Engineer
Data Engineers design and build the systems that store and process data. They use data visualization tools to help them understand how data is being used. This course may help one who wants to perform well in a Data Engineer job, as it offers a focused study of how to work with a variety of data visualization tools.
Data Analyst
Data Analyst
Data Analysts are responsible for the collection, interpretation, and presentation of data. They use this knowledge to create visualizations that let businesses make informed decisions. This course may help one preparing to build a career as a Data Analyst, as it offers a focused study of how to work with a variety of data visualization tools.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design and build machine learning models. They use data visualization tools to help them understand how models are performing. This course may help one who wants to perform well in a Machine Learning Engineer job, as it offers a focused study of how to work with a variety of data visualization tools.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts develop and use mathematical and statistical models to assess the risks associated with various business decisions. This course may help build the skills that a Quantitative Analyst needs to succeed, as it offers a focused study of how to work with a variety of data visualization tools.
User Experience Designer
User Experience Designer
User Experience Designers design and evaluate the user experience of software and websites. They use data visualization tools to help them understand how users interact with products. This course may help build the skills that a User Experience Designer needs to succeed, as it offers a focused study of how to work with a variety of data visualization tools.
Analyst
Analyst
Analysts study data to determine the impact it has on an organization. This often involves recommending solutions based on the data. The ability to properly manipulate and present data is a key part of the job. This course helps teach how to work with multiple data visualization tools. As such, it may be helpful for one who wants to perform well in an Analyst job.
Web Developer
Web Developer
Web Developers design and build websites. They use data visualization tools to help them understand how users interact with websites. This course may help one who wants to perform well in a Web Developer job, as it offers a focused study of how to work with a variety of data visualization tools.
Software Engineer
Software Engineer
Software Engineers design, build, and test software. They use data visualization tools to help them identify and resolve bugs. This course may help one who wants to perform well in a Software Engineer job, as it offers a focused study of how to work with a variety of data visualization tools.
Systems Analyst
Systems Analyst
Systems Analysts design and implement computer systems. They use data visualization tools to help them understand how systems work and to identify areas for improvement. This course may help one who wants to perform well in a Systems Analyst job, as it offers a focused study of how to work with a variety of data visualization tools.
For more career information including salaries, visit:
OpenCourser.com/course/2n3yez/crash
Reading list
We've selected eight 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
Crash Course on Interactive Data Visualization with Plotly.
Provides a comprehensive introduction to interactive data visualization using JavaScript and D3.
Provides clear and concise guidelines for choosing the right chart type for different types of data.
Save
This classic book on data visualization provides timeless principles for creating effective visualizations.
Provides a comprehensive introduction to the ggplot2 library for creating elegant and informative data visualizations.
Provides a comprehensive introduction to data visualization using R.
Save
Provides a practical introduction to data visualization using a variety of software tools.
Provides practical advice on how to use data to tell stories that are both informative and engaging.
Save
Provides a collection of essays on data visualization.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/2n3yez/crash
Share
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Effort
2 hours
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
Ryan Ahmed
Language
English
Good to know
Emphasizes hands-on practice, fostering a practical understanding of interactive data visualization techniques
Provides an entry point into the Plotly package, simplifying interactive data visualization for beginners
Utilizes Plotly Express, a powerful Python package that facilitates the creation and manipulation of graphical figures with minimal code
Encompasses various chart types, empowering learners to visualize data effectively for different purposes
Exclusively for learners in the North America region, potentially limiting accessibility for a wider audience
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