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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.
Register for this course and see more details by visiting:
OpenCourser.com/course/7ix2nv/data
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What's inside
Syllabus
Project Overview
Welcome to this 1.5 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 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.This guided project is for developers working in data field, data enthusiast, data scientist, data analysts, ML engineers.
Good to know
Good to know
Know what's good ,
what to watch for , 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
Save this course
Save Data Visualization using Bokeh to your list so you can find it easily later:
Save
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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 Bokeh with these
activities:
Review Python Programming Fundamentals
Show steps
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
Show steps
Sharpen Bokeh coding skills and deepen understanding of data visualization concepts.
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
Show steps
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
Show steps
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
Show steps
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
Review Python Programming Fundamentals
Show steps
Strengthen the foundation in Python programming to support effective Bokeh development.
Browse courses on
Python Basics
Show steps
Show steps
Show steps
- Review core Python concepts, such as variables, data types, and control flow
- Practice writing simple Python programs
Solve Bokeh Code Challenges
Show steps
Sharpen Bokeh coding skills and deepen understanding of data visualization concepts.
Show steps
Show steps
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
Show steps
Engage with peers, share knowledge, and get feedback on Bokeh visualization projects.
Show steps
Show steps
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
Show steps
Introduce the basics of building interactive data visualizations using Bokeh.
Browse courses on
Interactive Data Visualization
Show steps
Show steps
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
Show steps
Enhance data visualization skills by building a fully functional Bokeh dashboard for real-time data.
Browse courses on
Real-Time Data Visualization
Show steps
Show steps
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 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.
Data Scientist
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.
Data Engineer
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.
Machine Learning 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.
Business Analyst
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.
Product Manager
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.
Software Engineer
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.
Data Visualization Specialist
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.
Information Architect
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.
User Experience Designer
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.
Graphic 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.
Web Developer
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.
Statistician
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.
Actuary
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.
Financial Analyst
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.
For more career information including salaries, visit:
OpenCourser.com/course/7ix2nv/data
Reading list
We've selected six 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.
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.
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.
Save
Provides a comprehensive overview of data science, including data visualization. It discusses the ethical and societal implications of data science and offers guidance on responsible data handling practices.
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.
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.
Covers D3.js, a JavaScript library for creating interactive data visualizations. While not directly related to Bokeh, it offers valuable insights into web-based data visualization techniques, which can be beneficial for those interested in extending their skills beyond Python.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/7ix2nv/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
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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