Sorry, this page is no longer available

We may earn an affiliate commission when you visit our partners.

Crash Course on Interactive Data Visualization with Plotly

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.

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.

Enroll now

Or subscribe to Coursera Plus

And get unlimited access to Coursera

Two deals to help you save

Save money when you learn. Here are two deals and offers that may be relevant to this course.

All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.

Valid until July 14

Coursera Plus Annual

Work toward what's next for your career with access to 10,000+ programs. Discover emerging skills and save.

Valid until August 30

Google AI App Builder

Learn how to use Gemini API and API Studio with a three-course series from Google DeepMind

What's inside

Syllabus

Traffic lights

Read about what's good

what should give you pause

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

Create your own learning path. Save this course to your list so you can find it easily later.

Save

Reviews summary

Practical plotly express for quick data viz

According to learners, this course is a highly effective crash course for quickly mastering interactive data visualization with Plotly Express. Many appreciate its hands-on examples and clear explanations, making it an excellent starting point for beginners in Python data visualization. However, a significant concern is its lab environment's regional restriction to North America, which has caused negative experiences for learners outside this area. More experienced users may also find the content too basic for an in-depth understanding.

Efficiently covers fundamentals for rapid skill acquisition.

"This course is brilliant for busy professionals. It condenses a lot of information into digestible chunks, enabling rapid skill acquisition."

"Very concise and to the point. I learned how to create several types of interactive charts quickly."

"Exactly what it says: a crash course. Don't expect a comprehensive deep dive, but for getting productive with Plotly Express very quickly, it's perfect."

Excellent for quick learning and initial exposure to Plotly.

"As a beginner in data visualization, I found this course incredibly helpful. The step-by-step approach made complex ideas seem simple."

"Great for beginners! I had no prior experience with Plotly and now I can make decent interactive charts."

"It's a great starting point for Plotly, enabling rapid skill acquisition for practical use in my projects."

Focuses on immediate application with clear demonstrations.

"The hands-on examples were incredibly clear and I was able to apply what I learned immediately. Perfect for someone who needs to get up to speed fast."

"I liked the practical, hands-on approach. It's exactly what I needed to quickly get started with interactive plots in Python."

"The material is well-organized and the demos are helpful. This course is a practical gem!"

May lack depth for those with prior plotting knowledge.

"If you have some prior experience with Python plotting libraries, you might find it redundant. It's truly a 'crash course' for absolute beginners."

"The course is too short and doesn't cover enough for me to feel proficient. While it introduces Plotly Express, I feel I'd need another course."

"I wished for slightly more advanced topics or challenges, but for a 'crash course', it delivered only the essentials efficiently."

Technical issues for learners outside North America.

"Disappointed. I couldn't even complete the initial setup because the environment only supports North American regions. Wasted my time."

"Honestly, I struggled with the setup due to being outside North America, which was frustrating. ... Not for me."

"Beware if you're not in North America. The platform for labs simply doesn't work well elsewhere. ... the technical issues made it unusable."

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

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 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.

See salaries and explore the career path for Data Visualization 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.

See salaries and explore the career path for Business Intelligence Analyst

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.

See salaries and explore the career path for Statistician

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.

See salaries and explore the career path for Market 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.

See salaries and explore the career path for Research Analyst

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.

See salaries and explore the career path for Data Scientist

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.

See salaries and explore the career path for Machine Learning Engineer

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.

See salaries and explore the career path for Data Analyst

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.

See salaries and explore the career path for Data Engineer

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.

See salaries and explore the career path for User Experience Designer

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.

See salaries and explore the career path for Quantitative Analyst

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.

See salaries and explore the career path for Software Engineer

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.

See salaries and explore the career path for 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.

See salaries and explore the career path for Systems Analyst

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.

See salaries and explore the career path for Web Developer

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.