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Interactive Machine Learning Dashboards using Plotly Dash
Ari Anastassiou
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
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
Coming soon
We're preparing activities for
Interactive Machine Learning Dashboards using Plotly Dash.
These are activities you can do either before, during, or after a course.
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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