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

Interactive Statistical Data Visualization 101

In this guided project, we will explore plotly express to visualize statistical plots such as box plots, histograms, heatmaps, density maps, contour plots, and violin plots. Plotly express is a super powerful Python package that empowers anyone to create, manipulate and render graphical figures. This crash course is super practical and directly applicable to many industries such as banking, finance and tech industries.

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

Three deals to help you save

We found three deals and offers that may be relevant to this course.

Save money when you learn. All coupon codes, vouchers, and discounts are applied automatically unless otherwise noted.

Valid until December 12

Annual Subscription Savings

Unlock programs from Google, Microsoft, and IBM and join 77% of learners who reported positive career outcomes.

Only $239!

Valid for a limited time only

Future-proof your career

Access O'Reilly books, live events, courses, and more. Save with an annual subscription.

Take

15%

off

What's inside

Syllabus

Project Overview

In this practical guided project, we will learn how to plot interactive statistical plots such as box plots, histograms, density map, scatter matrix, violin plot, and contour plot using Plotly 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.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Teaches plotly express, which is used for statistical plotting in various industries

Suitable for beginners who want to learn statistical plotting with plotly express

Covers a wide range of statistical plots, including box plots, histograms, and contour plots

Provides hands-on practice with interactive plots

Taught by Ryan Ahmed, an experienced instructor in data science and visualization

Requires learners to be based in the North America region for the best experience

Save this course

Save Interactive Statistical Data Visualization 101 to your list so you can find it easily later:

Save

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 Interactive Statistical Data Visualization 101 with these activities:

Practice using Plotly Express tutorials

Show steps

Understand the basics of Plotly Express by following guided tutorials.

Browse courses on Plotly Express

Show steps

Locate the Plotly Express documentation
Follow the tutorials for each visual type
Experiment with the code examples

Plotly Express exercises

Show steps

Refine your Plotly Express skills through dedicated practice exercises.

Browse courses on Plotly Express

Show steps

Find exercises or problem sets online
Solve the exercises independently
Review your solutions

Attend a Plotly Express workshop

Show steps

Learn from experts and connect with other Plotly Express users through a dedicated workshop.

Browse courses on Plotly Express

Show steps

Find relevant workshops or meetups
Register and attend the workshop
Actively participate and ask questions

Three other activities

Expand to see all activities and additional details

Show all six activities

Mentor junior developers in Plotly Express

Show steps

Enhance your understanding while giving back by mentoring others in Plotly Express.

Browse courses on Plotly Express

Show steps

Identify opportunities to mentor
Prepare materials and resources
Provide guidance and support

Visualize a dataset using Plotly Express

Show steps

Apply your Plotly Express knowledge by creating visualizations from a real-world dataset.

Browse courses on Plotly Express

Show steps

Choose a dataset that aligns with your interests
Clean and prepare the data
Create visualizations using Plotly Express
Interpret the results and draw insights

Participate in a Plotly Express competition

Show steps

Challenge yourself and showcase your Plotly Express skills by participating in a competition.

Browse courses on Plotly Express

Show steps

Find and register for a relevant competition
Prepare your submission
Submit your work and await results

Career center

Learners who complete Interactive Statistical Data Visualization 101 will develop knowledge and skills that may be useful to these careers:

Data Visualization Engineer

Data Visualization Engineers build interactive data visualizations that communicate insights from data. This course in Interactive Statistical Data Visualization 101 can help you build a foundation in the tools and techniques used by Data Visualization Engineers. The course covers topics such as creating box plots, histograms, heatmaps, and scatterplots, which are all essential for creating effective data visualizations. Additionally, the course provides hands-on experience with the Plotly Express library, which is a powerful tool for creating interactive data visualizations.

See salaries and explore the career path for Data Visualization Engineer

Data Analyst

Data Analysts use data to solve business problems. They collect, clean, and analyze data to identify trends and patterns. This course in Interactive Statistical Data Visualization 101 can help you develop the skills needed to be a successful Data Analyst. The course covers topics such as data visualization, statistical analysis, and machine learning. Additionally, the course provides hands-on experience with the Python programming language, which is a popular tool for data analysis.

See salaries and explore the career path for Data Analyst

Statistician

Statisticians collect, analyze, interpret, and present data. They use statistical methods to develop models and make predictions. This course in Interactive Statistical Data Visualization 101 can help you develop the skills needed to be a successful Statistician. The course covers topics such as probability, statistics, and data visualization. Additionally, the course provides hands-on experience with the R programming language, which is a popular tool for statistical analysis.

See salaries and explore the career path for Statistician

Software Engineer

Software Engineers design, develop, and maintain software systems. They use programming languages to create software that meets the needs of users. This course in Interactive Statistical Data Visualization 101 can help you develop the skills needed to be a successful Software Engineer. The course covers topics such as software design, programming, and data visualization. Additionally, the course provides hands-on experience with the Python programming language, which is a popular tool for software development.

See salaries and explore the career path for Software Engineer

Web Developer

Web Developers design and develop websites. They use programming languages to create websites that are both visually appealing and functional. This course in Interactive Statistical Data Visualization 101 can help you develop the skills needed to be a successful Web Developer. The course covers topics such as web design, programming, and data visualization. Additionally, the course provides hands-on experience with the HTML, CSS, and JavaScript programming languages, which are popular tools for web development.

See salaries and explore the career path for Web Developer

Financial Analyst

Financial Analysts use data to make investment decisions. They analyze financial data to identify trends and patterns. This course in Interactive Statistical Data Visualization 101 can help you develop the skills needed to be a successful Financial Analyst. The course covers topics such as financial analysis, data visualization, and machine learning. Additionally, the course provides hands-on experience with the Python programming language, which is a popular tool for financial analysis.

See salaries and explore the career path for Financial Analyst

Market Researcher

Market Researchers collect, analyze, and interpret data about markets and consumers. They use this data to help businesses make better decisions. This course in Interactive Statistical Data Visualization 101 can help you develop the skills needed to be a successful Market Researcher. The course covers topics such as market research, data analysis, and data visualization. Additionally, the course provides hands-on experience with the Python programming language, which is a popular tool for market research.

See salaries and explore the career path for Market Researcher

Data Scientist

Data Scientists use data to solve complex problems. They develop models and algorithms to identify trends and patterns in data. This course in Interactive Statistical Data Visualization 101 can help you develop the skills needed to be a successful Data Scientist. The course covers topics such as data science, machine learning, and data visualization. Additionally, the course provides hands-on experience with the Python programming language, which is a popular tool for data science.

See salaries and explore the career path for Data Scientist

Business Analyst

Business Analysts use data to make better business decisions. They analyze data to identify trends and patterns. This course in Interactive Statistical Data Visualization 101 can help you develop the skills needed to be a successful Business Analyst. The course covers topics such as business analysis, data visualization, and data mining. Additionally, the course provides hands-on experience with the Python programming language, which is a popular tool for business analysis.

See salaries and explore the career path for Business Analyst

Quantitative Analyst

Quantitative Analysts use data to make investment decisions. They develop models and algorithms to identify trends and patterns in data. This course in Interactive Statistical Data Visualization 101 can help you develop the skills needed to be a successful Quantitative Analyst. The course covers topics such as quantitative analysis, data visualization, and machine learning. Additionally, the course provides hands-on experience with the Python programming language, which is a popular tool for quantitative analysis.

See salaries and explore the career path for Quantitative Analyst

Actuary

Actuaries use data to assess risk and uncertainty. They develop models and algorithms to identify trends and patterns in data. This course in Interactive Statistical Data Visualization 101 can help you develop the skills needed to be a successful Actuary. The course covers topics such as actuarial science, data visualization, and machine learning. Additionally, the course provides hands-on experience with the Python programming language, which is a popular tool for actuarial science.

See salaries and explore the career path for Actuary

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 Interactive Statistical Data Visualization 101.

Beautiful Evidence

Save

This classic book on data visualization must-read for anyone serious about creating effective data visualizations. It covers a wide range of topics, from the principles of data visualization to specific techniques for presenting data.

Beautiful Evidence

Hardcover

Deep Learning

Save

Comprehensive guide to deep learning, covering topics such as neural networks, convolutional neural networks, and recurrent neural networks. It valuable resource for anyone looking to learn more about deep learning.

Interactive Statistical Data Visualization 101

Three deals to help you save

What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

Share

Similar courses