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Data Visualization using Bokeh

Naina Chaturvedi

Welcome to this 1 hour long guided project on data visualization using Bokeh. In this project you will learn the basics of Bokeh and create different plots and impressive data visualizations in detail. You will also learn Glyphs and how to Map Geo data using Bokeh. Please note that you will need prior programming experience ( beginner level) in Python. You will also need familiarity with Pandas. This is a practical, hands on guided project for learners who already have theoretical understanding of Pandas and Python.

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What's inside

Syllabus

Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Suitable for learners with beginner-level programming experience in Python and familiarity with Pandas
Provides practical hands-on experience for learners with theoretical knowledge of Pandas and Python
Covers fundamental concepts of Bokeh, including plots and data visualizations
Includes instruction on Glyphs and mapping of geographic data using Bokeh
Emphasizes the use of Bokeh for impressive data visualizations
Provides a brief overview of Bokeh's capabilities, which may be insufficient for learners seeking in-depth knowledge

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Reviews summary

Practical bokeh basics for data professionals

According to learners, this course offers a highly practical and hands-on introduction to data visualization with Bokeh. Students frequently praise the clear explanations, effective use of Glyphs, and the useful segment on mapping geo data. It is considered an excellent quick guide for busy professionals or those new to Bokeh, enabling them to apply concepts immediately. However, some learners note its foundational level, suggesting it might be too basic for intermediate or advanced users seeking in-depth coverage of complex features like callbacks or integration with other libraries.
Concise, guided format provides quick wins but limits depth.
"The project structure made it easy to follow along and apply what I learned immediately."
"It serves as a brief overview, but certainly not enough for professional use beyond very simple cases... the 'guided project' format limits depth."
"I think it's accurately described as 'guided project' but for the target audience of 'data scientists,' it falls short."
Effective for quick learning with Python/Pandas skills.
"The instructor's pace was just right for a beginner like me who already knows Python and Pandas."
"It definitely assumes you have a good grasp of Python and Pandas, which was fine for me."
"This is perfect for busy professionals who need to learn a new tool fast. It assumes you are comfortable with Python and Pandas, which is fair."
Concise and clear starting point for Bokeh basics.
"This guided project was a great introduction to Bokeh."
"As a data analyst, I've been looking for a concise way to pick up Bokeh, and this course delivered."
"A very practical course for learning Bokeh fundamentals. The hands-on coding really helped solidify the concepts."
"Good course for beginners to Bokeh. It covers the essential glyphs and plot types effectively."
Effective and direct path to applying Bokeh.
"This guided project was a great introduction to Bokeh. I appreciated the hands-on approach and the clear explanations..."
"Absolutely fantastic! The practical examples were spot on, and I really benefited from seeing how to use Glyphs effectively."
"I loved the section on mapping geo data – something I needed for a current project. This is perfect for busy professionals..."
Foundational only; not for advanced Bokeh or complex use.
"However, I wished there was a bit more depth on advanced customization options."
"For someone who already uses Matplotlib and Seaborn extensively, this felt a bit too basic and rushed. It didn't delve deep enough into complex Bokeh features..."
"I found this course somewhat superficial. I was hoping for more complex examples and a deeper dive into callback functions or linking plots..."
"The course is okay, but it's really just a basic introduction. Don't expect to become proficient... it falls short of what's expected for a professional tool."

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 Bokeh with these activities:
Review Python Programming Fundamentals
Strengthen the foundation in Python programming to support effective Bokeh development.
Browse courses on Python Basics
Show steps
  • Review core Python concepts, such as variables, data types, and control flow
  • Practice writing simple Python programs
Solve Bokeh Code Challenges
Sharpen Bokeh coding skills and deepen understanding of data visualization concepts.
Browse courses on Coding Exercises
Show steps
  • Find online Bokeh code challenges or create your own
  • Solve the challenges by implementing Bokeh plots and visualizations
  • Review solutions and learn from others' approaches
Join the Bokeh Community and Participate in Discussions
Engage with peers, share knowledge, and get feedback on Bokeh visualization projects.
Show steps
  • Join the Bokeh community forum or discussion groups
  • Participate in discussions, ask questions, and share experiences
Two other activities
Expand to see all activities and additional details
Show all five activities
Create Interactive Bokeh Plots Tutorial
Introduce the basics of building interactive data visualizations using Bokeh.
Browse courses on Interactive Data Visualization
Show steps
  • Set up a Bokeh environment and create a basic plot
  • Add glyphs and customize the appearance of the plot
  • Create interactive elements, such as tooltips and legends
Build a Bokeh Dashboard for Real-Time Data Visualization
Enhance data visualization skills by building a fully functional Bokeh dashboard for real-time data.
Browse courses on Real-Time Data Visualization
Show steps
  • Gather real-time data from a streaming source
  • Design and implement the dashboard layout using Bokeh
  • Update the visualizations in real-time using streaming data

Career center

Learners who complete Data Visualization using Bokeh will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts collect, clean, and analyze data to help businesses make informed decisions. They use their skills in data visualization to communicate complex data in a way that is easy to understand. This course can help Data Analysts build a strong foundation in data visualization using Bokeh, which will enable them to create more effective and persuasive data visualizations.
See salaries and explore the career path for Data Analyst
Data Scientist
Data Scientists use their skills in data visualization to communicate complex data to stakeholders, including business leaders, product managers, and engineers. This course can help Data Scientists build a strong foundation in data visualization using Bokeh, which will enable them to create more effective and persuasive data visualizations.
See salaries and explore the career path for Data Scientist
Data Engineer
Data Engineers use their skills in data visualization to communicate the design and implementation of data pipelines to stakeholders, including business leaders, data scientists, and product managers. This course can help Data Engineers build a strong foundation in data visualization using Bokeh, which will enable them to create more effective and persuasive data visualizations.
See salaries and explore the career path for Data Engineer
Machine Learning Engineer
Machine Learning Engineers use their skills in data visualization to communicate the performance and results of machine learning models to stakeholders, including business leaders, data scientists, and product managers. This course can help Machine Learning Engineers build a strong foundation in data visualization using Bokeh, which will enable them to create more effective and persuasive data visualizations.
See salaries and explore the career path for Machine Learning Engineer
Business Analyst
Business Analysts use their skills in data visualization to communicate complex data to stakeholders, including business leaders, product managers, and engineers. This course can help Business Analysts build a strong foundation in data visualization using Bokeh, which will enable them to create more effective and persuasive data visualizations.
See salaries and explore the career path for Business Analyst
Product Manager
Product Managers use their skills in data visualization to communicate the value and impact of new products and features to stakeholders, including business leaders, engineers, and customers. This course can help Product Managers build a strong foundation in data visualization using Bokeh, which will enable them to create more effective and persuasive data visualizations.
See salaries and explore the career path for Product Manager
Software Engineer
Software Engineers use their skills in data visualization to communicate the design and implementation of software systems to stakeholders, including business leaders, product managers, and engineers. This course can help Software Engineers build a strong foundation in data visualization using Bokeh, which will enable them to create more effective and persuasive data visualizations.
See salaries and explore the career path for Software Engineer
Data Visualization Specialist
Data Visualization Specialists use their skills in data visualization to create visual representations of data that are easy to understand and communicate. This course can help Data Visualization Specialists build a strong foundation in data visualization using Bokeh, which will enable them to create more effective and persuasive data visualizations.
See salaries and explore the career path for Data Visualization Specialist
Information Architect
Information Architects use their skills in data visualization to create visual representations of information that are easy to understand and navigate. This course can help Information Architects build a strong foundation in data visualization using Bokeh, which will enable them to create more effective and persuasive data visualizations.
See salaries and explore the career path for Information Architect
User Experience Designer
User Experience Designers use their skills in data visualization to create visual representations of user interfaces that are easy to understand and use. This course can help User Experience Designers build a strong foundation in data visualization using Bokeh, which will enable them to create more effective and persuasive data visualizations.
See salaries and explore the career path for User Experience Designer
Graphic Designer
Graphic Designers use their skills in data visualization to create visual representations of data that are visually appealing and communicate effectively. This course can help Graphic Designers build a strong foundation in data visualization using Bokeh, which will enable them to create more effective and persuasive data visualizations.
See salaries and explore the career path for Graphic Designer
Web Developer
Web Developers use their skills in data visualization to create visual representations of data that can be displayed on the web. This course can help Web Developers build a strong foundation in data visualization using Bokeh, which will enable them to create more effective and persuasive data visualizations.
See salaries and explore the career path for Web Developer
Statistician
Statisticians use their skills in data visualization to create visual representations of data that can be used to make inferences about the population from which the data was collected. This course can help Statisticians build a strong foundation in data visualization using Bokeh, which will enable them to create more effective and persuasive data visualizations.
See salaries and explore the career path for Statistician
Actuary
Actuaries use their skills in data visualization to create visual representations of data that can be used to assess the financial risks of insurance and other financial products. This course can help Actuaries build a strong foundation in data visualization using Bokeh, which will enable them to create more effective and persuasive data visualizations.
See salaries and explore the career path for Actuary
Financial Analyst
Financial Analysts use their skills in data visualization to create visual representations of data that can be used to assess the financial performance of companies and other organizations. This course can help Financial Analysts build a strong foundation in data visualization using Bokeh, which will enable them to create more effective and persuasive data visualizations.
See salaries and explore the career path for Financial Analyst

Reading list

We've selected four 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 Bokeh.
Cover image
Information Visualization
Save
Delves into the cognitive and perceptual principles behind data visualization. It provides a theoretical foundation for understanding how humans perceive and interpret visual representations of data, offering valuable insights for anyone creating data visualizations.
Information Visualization: Perception for Design...
Paperback
$$$
Information Visualization: Perception for Design...
Hardcover
$$$
Information Visualization: Perception for Design...
Hardcover
$$$
Information Visualization: Perception for Design...
Hardcover
$$
Information Visualization: Perception for Design...
Kindle Edition
$$$
Information Visualization: Perception for Design...
Kindle Edition
$$$
Information Visualization: Perception for Design...
Kindle Edition
$$$
Cover image
Data Visualization
Save
This comprehensive handbook offers practical guidance on creating effective data visualizations. It covers various chart types, design principles, and best practices, providing valuable insights for anyone looking to improve their data visualization skills with Bokeh or other tools.
Data Visualization: A Successful Design Process: A...
Paperback
$
Data Visualization: Representing Information on...
Kindle Edition
$$$
Data Visualization Design and Utilization (Korean...
Paperback
$$$
Cover image
Interactive Data Visualization for the Web
Save
Introduces the fundamental concepts of data visualization and explores techniques for creating interactive visualizations using HTML, CSS, and JavaScript. While it doesn't specifically cover Bokeh, it provides a solid foundation for understanding the principles of interactive data visualization.
Interactive Data Visualization for the Web: An...
Paperback
$$
Interactive Data Visualization for the Web: An...
Paperback
$$
(中文) 数据可视化实战:使用D3设计交互式图表 (图灵程序设计丛书 23) (Chinese Edition)
Kindle Edition
$
Cover image
Advanced R, Second Edition
Save
Introduces the ggplot2 package in R, which is known for its focus on creating elegant and informative data visualizations. While not specific to Bokeh, it provides a solid foundation for understanding data visualization principles and techniques.
Advanced R, Second Edition (Chapman & Hall/CRC The...
Paperback
$$$
Advanced R, Second Edition (Chapman & Hall/CRC The...
Kindle Edition
$$$

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Course image
Effort
1.5 hours
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Naina Chaturvedi
Language
English
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Suitable for learners with beginner-level programming experience in Python and familiarity with Pandas
Provides practical hands-on experience for learners with theoretical knowledge of Pandas and Python
Covers fundamental concepts of Bokeh, including plots and data visualizations
Includes instruction on Glyphs and mapping of geographic data using Bokeh
Emphasizes the use of Bokeh for impressive data visualizations
Provides a brief overview of Bokeh's capabilities, which may be insufficient for learners seeking in-depth knowledge
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