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via Udemy |
Go to Course: https://www.udemy.com/course/create-interactive-dashboards-in-python-by-plotly-dash/
Certainly! Here's a detailed review and recommendation for the Coursera course on creating interactive web-based dashboards using Python, Plotly, and Dash: --- **Course Review and Recommendation: Creating Interactive Web Dashboards with Python, Plotly, and Dash** **Overview:** This course is an excellent resource for anyone interested in developing interactive, visually appealing web dashboards using Python. It focuses on leveraging the powerful Plotly data visualization library alongside Dash to create responsive dashboards that can be hosted on live servers and viewed seamlessly across all devices, including mobile phones. **What You Will Learn:** - The fundamentals of creating web dashboards in Python using Dash. - How to utilize various Dash input components like dropdown lists (including dependent dropdowns), range sliders, sliders, radio buttons, intervals, and more to make dashboards interactive. - Techniques for creating dependent input components with chained callbacks, enhancing dashboard interactivity. - A comprehensive guide to multiple types of charts including bar, line, pie, donut, bubble, scatter map, and map box charts. - How to incorporate data tables in your dashboards using Dash DataTable and HTML tables. - Strategies for designing attractive and responsive layouts using CSS stylesheets, enabling the creation of dashboards that resemble high-quality mobile or web applications. - Practical skills to build, customize, and deploy dashboards for real-world use cases. **Course Highlights:** - Extensive hands-on practice with numerous charts and visualization techniques. - Practical demonstrations of creating interactive dashboards that are mobile-friendly. - Additional value through 38 custom dashboards created by the instructor, which are available as downloadable assignments to deepen understanding. - Clear guidance on using CSS for layout design, allowing for professional-looking dashboards. **Pros:** - Beginner to intermediate friendly, with step-by-step instructions. - Emphasizes practical skills with real-world applications. - Provides downloadable dashboards for practice and learning. - Focus on deploying dashboards on live servers makes it valuable for professional projects. **Cons:** - The course assumes basic knowledge of Python programming. - Advanced dashboard features or highly complex visualizations might require additional learning beyond the course. **Recommendation:** If you are a data analyst, developer, or aspiring data scientist looking to build interactive dashboards to visualize data insights effectively, this course is highly recommended. It provides comprehensive coverage of dashboard creation, from designing layouts to deploying interactive visualizations. The emphasis on practical assignments ensures that you gain real-world skills and confidence in building dashboards independently. **Conclusion:** This course is a well-rounded introduction to creating professional, interactive dashboards with Python, Plotly, and Dash. Completing this course will equip you with the tools and knowledge to craft your own dashboards, enhancing your data presentation capabilities and making your analyses more impactful. --- Would you like me to help you with a personalized course plan or additional resources?
In this course, you will learn how to create interactive web based dashboards in python using the plotly data visualizations library and dash library. Now it is easy to create data analytics web dashboards using dash library. We can create dashboards like business intelligence and we can upload these dashboards on live servers. Dash apps or dashboards are easily viewable on all devices as well as on mobile devices. I have used many useful dash input and output components to create interactive dashboards. Input components help us to get specific data from the dataset. Using chained callback, we can create dependent input components.You will learn in this course the use of following dash input components.Drop down list (Dependent drop down list)Range sliderSliderRadio itemsIntervalYou will learn in this course many chart types.Bar chartLine cartPie chartDonut chartBubble chartIndicatorsScatter map box map chartDash data tableHtml table in dashYou will learn in this course how to create an interactive layout for the dashboard using CSS style sheets. We can create attractive web dashboards using a dash library with CSS properties. We can create columns and rows in dash app or dashboard as well as in html page and design the dashboard layout as android app. After watching video lessons, you will be able to create your own dashboards using dash library.Note:- I have created extra 38 python dashboards in plotly dash and added in section four as for assignments. You can download these dashboards and re-create these yourselves. This will help you to get deep knowledge about the plotly data visualizations library and dash library.