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Ari Anastassiou
In this 2 hour long project-based course, you will learn how to create an HTML outline of a Plotly Dash dashboard. You will design interactive dropdown lists, radio buttons, and most importantly, scatter plots and bar charts that respond to your mouse's hover. You will learn how to visualize dimensionality reduction results intuitively and interactively, and see how these models can be used in Customer Segmentation. Furthermore, we will discuss how to critically evaluate these models, and what to look out for in a well-performing model.
Read more
In this 2 hour long project-based course, you will learn how to create an HTML outline of a Plotly Dash dashboard. You will design interactive dropdown lists, radio buttons, and most importantly, scatter plots and bar charts that respond to your mouse's hover. You will learn how to visualize dimensionality reduction results intuitively and interactively, and see how these models can be used in Customer Segmentation. Furthermore, we will discuss how to critically evaluate these models, and what to look out for in a well-performing model.
Read more
In this 2 hour long project-based course, you will learn how to create an HTML outline of a Plotly Dash dashboard. You will design interactive dropdown lists, radio buttons, and most importantly, scatter plots and bar charts that respond to your mouse's hover. You will learn how to visualize dimensionality reduction results intuitively and interactively, and see how these models can be used in Customer Segmentation. Furthermore, we will discuss how to critically evaluate these models, and what to look out for in a well-performing model.
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/93630w/interactive
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What's inside
Syllabus
Interactive Machine Learning Dashboards using Plotly Dash
In this 2 hour long project, you will learn how to create an HTML outline of a Plotly Dash dashboard. You will design interactive dropdown lists, radio buttons, and most importantly, scatter plots and bar charts that respond to your mouse's hover. You will learn how to visualize dimensionality reduction results intuitively and interactively, and see how these models can be used in Customer Segmentation. Furthermore, we will discuss how to critically evaluate these models, and what to look out for in a well-performing model.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides an interactive and intuitive way to explore dimensionality reduction models
Enables visualization of customer segmentation using scatter plots and bar charts
Designed for learners with a general understanding of machine learning concepts
Requires learners to have some experience working with Plotly Dash
Covers the basics of creating interactive machine learning dashboards using Plotly Dash
Suitable for learners interested in data visualization and customer segmentation
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Reviews summary
Plotly dash interactive ml dashboards
Learners say that this course is largely positive. They agree that the course is an excellent project to understand the capabilities of Plotly Dash. The instructions are clear and the example is perfect. The course features engaging assignments that are simple to understand. However, learners note that you should have experience with Python and Plotly before taking this course.
Learners found the instructions to be very clear and easy to follow.
"Muy buen proyecto, simple de entender, instrucciones claras"
"The instructions for this project are well written and easy to follow."
Learners found the project to be very helpful in understanding Plotly Dash.
"Excellent project to understand Plotly Dash's capabilities in a clear, concise way."
Learners note that you should have experience with Python and Plotly before taking this course.
"Not for newbs you should have some experience with python and plotly"
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 Machine Learning Dashboards using Plotly Dash with these
activities:
Read 'Interactive Data Visualization for the Web' by Scott Murray
Show steps
Develop an understanding of the fundamentals of data visualization, including chart types, color theory, and interactivity.
View
Interactive Data Visualization for the Web: An...
on Amazon
Show steps
-
Read Chapters 1-3 to gain an overview of data visualization principles and best practices.
-
Study Chapters 4-6 to learn about specific chart types and how to choose the right chart for your data.
-
Complete the exercises in Chapter 7 to practice creating interactive visualizations using Plotly Dash.
-
Read Chapter 8 to learn about advanced topics such as performance optimization and testing.
Join a Study Group or Online Forum
Show steps
Connect with other students taking the course and engage in discussions to reinforce your understanding and learn from others.
Show steps
-
Join a study group or online forum dedicated to the course or Plotly Dash.
-
Participate in discussions, ask questions, and share your insights with other members.
Follow the Plotly Dash Tutorial
Show steps
Gain hands-on experience building interactive dashboards using Plotly Dash.
Browse courses on
Plotly Dash
Show steps
-
Visit the Plotly Dash website and follow the step-by-step tutorial.
-
Create a simple dashboard with a scatter plot and a bar chart.
-
Explore the Plotly Dash documentation to learn about additional features and capabilities.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Solve Coding Challenges on LeetCode or HackerRank
Show steps
Sharpen your coding skills and problem-solving abilities by practicing coding challenges on platforms like LeetCode or HackerRank.
Browse courses on
Coding Challenges
Show steps
-
Register on LeetCode or HackerRank and select coding challenges that are relevant to the course topics.
-
Attempt to solve the challenges on your own, referring to the course materials and documentation as needed.
-
Review your solutions and identify areas for improvement.
Attend a Plotly Dash Workshop or Webinar
Show steps
Gain insights from industry experts and learn advanced techniques by attending a Plotly Dash workshop or webinar.
Browse courses on
Plotly Dash
Show steps
-
Search for upcoming Plotly Dash workshops or webinars.
-
Register for a workshop or webinar that aligns with your interests and learning goals.
-
Attend the workshop or webinar and actively participate in discussions.
Design a Dashboard for a Real-World Scenario
Show steps
Apply your skills to a practical problem by designing and creating a dashboard that addresses a real-world business or data analysis challenge.
Show steps
-
Identify a specific business or data analysis problem that could be solved with an interactive dashboard.
-
Gather the necessary data and explore it to identify key insights and trends.
-
Design your dashboard layout, including the choice of charts and interactive elements.
-
Implement your dashboard using Plotly Dash.
-
Present your dashboard to stakeholders or share it online to receive feedback.
Develop a Resource Guide for Interactive Dashboarding with Plotly Dash
Show steps
Create a comprehensive resource guide that includes tutorials, code snippets, and best practices for building interactive dashboards using Plotly Dash.
Browse courses on
Plotly Dash
Show steps
-
Gather resources from various sources, such as online tutorials, documentation, and community forums.
-
Organize and categorize the resources based on topics and use cases.
-
Create a user-friendly interface for accessing the resources, such as a website or a downloadable document.
Build a Portfolio of Dashboards
Show steps
Showcase your skills and knowledge by creating a portfolio of interactive dashboards that demonstrate your proficiency in Plotly Dash.
Show steps
-
Design and implement several dashboards that address different use cases and data analysis challenges.
-
Host your dashboards online or create a portfolio website to showcase your work.
-
Share your portfolio with potential employers or clients to demonstrate your capabilities.
Read 'Interactive Data Visualization for the Web' by Scott Murray
Show steps
Develop an understanding of the fundamentals of data visualization, including chart types, color theory, and interactivity.
View
Interactive Data Visualization for the Web: An...
on Amazon
Show steps
Show steps
Show steps
- Read Chapters 1-3 to gain an overview of data visualization principles and best practices.
- Study Chapters 4-6 to learn about specific chart types and how to choose the right chart for your data.
- Complete the exercises in Chapter 7 to practice creating interactive visualizations using Plotly Dash.
- Read Chapter 8 to learn about advanced topics such as performance optimization and testing.
Join a Study Group or Online Forum
Show steps
Connect with other students taking the course and engage in discussions to reinforce your understanding and learn from others.
Show steps
Show steps
Show steps
- Join a study group or online forum dedicated to the course or Plotly Dash.
- Participate in discussions, ask questions, and share your insights with other members.
Follow the Plotly Dash Tutorial
Show steps
Gain hands-on experience building interactive dashboards using Plotly Dash.
Browse courses on
Plotly Dash
Show steps
Show steps
Show steps
- Visit the Plotly Dash website and follow the step-by-step tutorial.
- Create a simple dashboard with a scatter plot and a bar chart.
- Explore the Plotly Dash documentation to learn about additional features and capabilities.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Solve Coding Challenges on LeetCode or HackerRank
Show steps
Sharpen your coding skills and problem-solving abilities by practicing coding challenges on platforms like LeetCode or HackerRank.
Browse courses on
Coding Challenges
Show steps
Show steps
Show steps
- Register on LeetCode or HackerRank and select coding challenges that are relevant to the course topics.
- Attempt to solve the challenges on your own, referring to the course materials and documentation as needed.
- Review your solutions and identify areas for improvement.
Attend a Plotly Dash Workshop or Webinar
Show steps
Gain insights from industry experts and learn advanced techniques by attending a Plotly Dash workshop or webinar.
Browse courses on
Plotly Dash
Show steps
Show steps
Show steps
- Search for upcoming Plotly Dash workshops or webinars.
- Register for a workshop or webinar that aligns with your interests and learning goals.
- Attend the workshop or webinar and actively participate in discussions.
Design a Dashboard for a Real-World Scenario
Show steps
Apply your skills to a practical problem by designing and creating a dashboard that addresses a real-world business or data analysis challenge.
Show steps
Show steps
Show steps
- Identify a specific business or data analysis problem that could be solved with an interactive dashboard.
- Gather the necessary data and explore it to identify key insights and trends.
- Design your dashboard layout, including the choice of charts and interactive elements.
- Implement your dashboard using Plotly Dash.
- Present your dashboard to stakeholders or share it online to receive feedback.
Develop a Resource Guide for Interactive Dashboarding with Plotly Dash
Show steps
Create a comprehensive resource guide that includes tutorials, code snippets, and best practices for building interactive dashboards using Plotly Dash.
Browse courses on
Plotly Dash
Show steps
Show steps
Show steps
- Gather resources from various sources, such as online tutorials, documentation, and community forums.
- Organize and categorize the resources based on topics and use cases.
- Create a user-friendly interface for accessing the resources, such as a website or a downloadable document.
Build a Portfolio of Dashboards
Show steps
Showcase your skills and knowledge by creating a portfolio of interactive dashboards that demonstrate your proficiency in Plotly Dash.
Show steps
Show steps
Show steps
- Design and implement several dashboards that address different use cases and data analysis challenges.
- Host your dashboards online or create a portfolio website to showcase your work.
- Share your portfolio with potential employers or clients to demonstrate your capabilities.
Career center
Learners who complete Interactive Machine Learning Dashboards using Plotly Dash will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
A Data Scientist uses scientific methods and artificial intelligence to analyze structured and unstructured data to extract meaningful insights. The Interactive Machine Learning Dashboards using Plotly Dash course is particularly relevant to this role, as it teaches how to create interactive dashboards that can help data scientists visualize and analyze data more effectively. This course can help data scientists build the skills they need to succeed in this field, including the ability to design interactive visualizations, create machine learning models, and communicate insights to stakeholders.
Machine Learning Engineer
Machine Learning Engineer
A Machine Learning Engineer designs, builds, and maintains machine learning models. This course is particularly relevant to this role, as it teaches how to create interactive dashboards that can help machine learning engineers visualize and analyze data more effectively. This course can help machine learning engineers build the skills they need to succeed in this field, including the ability to design interactive visualizations, create machine learning models, and deploy models into production.
Data Analyst
Data Analyst
A Data Analyst analyzes data to extract meaningful insights and trends. This course is particularly relevant to this role, as it teaches how to create interactive dashboards that can help data analysts visualize and analyze data more effectively. This course can help data analysts build the skills they need to succeed in this field, including the ability to design interactive visualizations, communicate insights to stakeholders, and make data-driven decisions.
Business Analyst
Business Analyst
A Business Analyst uses data to improve business processes. The Interactive Machine Learning Dashboards using Plotly Dash course is particularly relevant to this role, as it teaches how to create interactive dashboards that can help business analysts visualize and analyze data more effectively. This course can help business analysts build the skills they need to succeed in this field, including the ability to design interactive visualizations, create machine learning models, and communicate insights to stakeholders.
Software Engineer
Software Engineer
A Software Engineer designs and builds software systems. The Interactive Machine Learning Dashboards using Plotly Dash course is particularly relevant to this role, as it teaches how to create interactive dashboards that can help software engineers visualize and analyze data more effectively. This course can help software engineers build the skills they need to succeed in this field, including the ability to design interactive visualizations, create machine learning models, and deploy models into production.
Product Manager
Product Manager
A Product Manager manages the development and launch of new products. The Interactive Machine Learning Dashboards using Plotly Dash course is particularly relevant to this role, as it teaches how to create interactive dashboards that can help product managers visualize and analyze data more effectively. This course can help product managers build the skills they need to succeed in this field, including the ability to design interactive visualizations, communicate insights to stakeholders, and make data-driven decisions.
Marketing Manager
Marketing Manager
A Marketing Manager plans and executes marketing campaigns. The Interactive Machine Learning Dashboards using Plotly Dash course is particularly relevant to this role, as it teaches how to create interactive dashboards that can help marketing managers visualize and analyze data more effectively. This course can help marketing managers build the skills they need to succeed in this field, including the ability to design interactive visualizations, communicate insights to stakeholders, and make data-driven decisions.
Financial Analyst
Financial Analyst
A Financial Analyst provides financial advice to individuals and organizations. The Interactive Machine Learning Dashboards using Plotly Dash course is particularly relevant to this role, as it teaches how to create interactive dashboards that can help financial analysts visualize and analyze data more effectively. This course can help financial analysts build the skills they need to succeed in this field, including the ability to design interactive visualizations, create machine learning models, and communicate insights to stakeholders.
Operations Manager
Operations Manager
An Operations Manager oversees the day-to-day operations of an organization. The Interactive Machine Learning Dashboards using Plotly Dash course is particularly relevant to this role, as it teaches how to create interactive dashboards that can help operations managers visualize and analyze data more effectively. This course can help operations managers build the skills they need to succeed in this field, including the ability to design interactive visualizations, communicate insights to stakeholders, and make data-driven decisions.
Management Consultant
Management Consultant
A Management Consultant provides advice to organizations on how to improve their operations. The Interactive Machine Learning Dashboards using Plotly Dash course is particularly relevant to this role, as it teaches how to create interactive dashboards that can help management consultants visualize and analyze data more effectively. This course can help management consultants build the skills they need to succeed in this field, including the ability to design interactive visualizations, communicate insights to stakeholders, and make data-driven decisions.
Actuary
Actuary
An Actuary uses mathematics and statistics to assess risk and uncertainty. The Interactive Machine Learning Dashboards using Plotly Dash course may be useful to actuaries, as it teaches how to create interactive dashboards that can help them visualize and analyze data more effectively. This course can help actuaries build the skills they need to succeed in this field, including the ability to design interactive visualizations, create machine learning models, and communicate insights to stakeholders.
Statistician
Statistician
A Statistician collects, analyzes, and interprets data. The Interactive Machine Learning Dashboards using Plotly Dash course may be useful to statisticians, as it teaches how to create interactive dashboards that can help them visualize and analyze data more effectively. This course can help statisticians build the skills they need to succeed in this field, including the ability to design interactive visualizations, create machine learning models, and communicate insights to stakeholders.
Data Engineer
Data Engineer
A Data Engineer designs and builds systems for storing and processing data. The Interactive Machine Learning Dashboards using Plotly Dash course may be useful to data engineers, as it teaches how to create interactive dashboards that can help them visualize and analyze data more effectively. This course can help data engineers build the skills they need to succeed in this field, including the ability to design interactive visualizations, create machine learning models, and deploy models into production.
Database Administrator
Database Administrator
A Database Administrator manages and maintains databases. The Interactive Machine Learning Dashboards using Plotly Dash course may be useful to database administrators, as it teaches how to create interactive dashboards that can help them visualize and analyze data more effectively. This course can help database administrators build the skills they need to succeed in this field, including the ability to design interactive visualizations, create machine learning models, and communicate insights to stakeholders.
Information Security Analyst
Information Security Analyst
An Information Security Analyst protects computer systems from unauthorized access, use, disclosure, disruption, modification, or destruction. The Interactive Machine Learning Dashboards using Plotly Dash course may be useful to information security analysts, as it teaches how to create interactive dashboards that can help them visualize and analyze data more effectively. This course can help information security analysts build the skills they need to succeed in this field, including the ability to design interactive visualizations, create machine learning models, and communicate insights to stakeholders.
For more career information including salaries, visit:
OpenCourser.com/course/93630w/interactive
Reading list
We've selected nine 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 Machine Learning Dashboards using Plotly Dash.
Provides a practical guide to creating effective data visualizations. It covers all the essential concepts, from data storytelling to design principles. It great resource for anyone who wants to learn how to create visualizations that are both beautiful and informative.
Save
Classic work on data visualization. It provides a comprehensive overview of the principles of data visualization and how to create effective visualizations. It great resource for anyone who wants to learn more about the art and science of data visualization.
Save
Provides a practical introduction to data visualization. It covers all the essential concepts, from data preparation to creating effective visualizations. It great resource for anyone who wants to learn how to create visualizations that are both beautiful and informative.
Provides a comprehensive guide to creating beautiful and informative graphics using ggplot2. It covers all the essential concepts, from data manipulation to creating complex visualizations. It great resource for anyone who wants to learn how to create visualizations that are both beautiful and informative.
Provides a comprehensive overview of data science using Python. It covers all the essential concepts, from data manipulation to machine learning. It great resource for anyone who wants to learn how to use Python for data science.
Save
Provides a comprehensive overview of deep learning. It covers all the essential concepts, from neural networks to deep learning architectures. It great resource for anyone who wants to learn more about deep learning.
Provides a comprehensive guide to machine learning using Python. It covers all the essential concepts, from data preparation to model evaluation. It great resource for anyone who wants to learn how to use machine learning for practical applications.
Save
Provides a comprehensive overview of data mining. It covers all the essential concepts, from data preprocessing to pattern discovery. It great resource for anyone who wants to learn more about data mining.
Provides a comprehensive overview of statistical learning. It covers all the essential concepts, from linear regression to support vector machines. It great resource for anyone who wants to learn more about statistical learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/93630w/interactive
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Effort
1.5 hours
Level
Intermediate
Via
Coursera
Institution
Coursera Project Network
Instructor
Ari Anastassiou
Language
English
Good to know
Provides an interactive and intuitive way to explore dimensionality reduction models
Enables visualization of customer segmentation using scatter plots and bar charts
Designed for learners with a general understanding of machine learning concepts
Requires learners to have some experience working with Plotly Dash
Covers the basics of creating interactive machine learning dashboards using Plotly Dash
Suitable for learners interested in data visualization and customer segmentation
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