Free Download Shiny for Python Masterclass Build Dashboards from Data
Published: 12/2024
Created by: Olabode Alamu
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All | Genre: eLearning | Language: English | Duration: 56 Lectures ( 5h 29m ) | Size: 3.23 GB
Transform Your Data into Interactive Web Apps with Shiny -Leverage Plotly and Pandas to Build Stunning Dashboards
What you'll learn
Learn how to develop beautiful web apps and dashboards using the Shiny Library in Python.
Learn how to create effective and compelling visuals using plotly express.
Learn how to tackle any dashboard project given the dataset.
Learn how to add reactivity and interactivity to your Shiny Dashboards.
Requirements
You should have Python installed on your computer and be able to run your python code in an IDE of your choice.
A beginner level knowledge of python is adequate (i.e. you are comfortable with the common python objects such as lists, strings, tuples, dictionaries and python functions).
Description
Do you want to build interactive, dynamic web applications using Python without becoming a full-fledged web developer? Look no further! Shiny for Python makes it easy to turn your data analysis workflows into professional-grade dashboards and web apps-all powered by Python.In this course, you'll master Shiny for Python, a framework that brings the power of interactivity to your data visualizations and analyses. From creating simple applications to developing complex, feature-rich dashboards, this course will guide you through the essential concepts, tools, and techniques step by step.Whether you're a data scientist, analyst, or Python enthusiast, this course equips you with the skills to build beautiful, functional applications that deliver insights and engage users.What you'll learn:Shiny Basics:Create your first "Hello World" Shiny app in Python.Advanced Features:Leverage reactivity for real-time app updates.Integrate popular libraries like Pandas and Plotly.User Experience Design:Craft intuitive and visually appealing dashboards.Optimize layouts for different screen sizes.Real-World Use Cases:Build apps for data exploration, reporting, and real-time monitoring.Who this course is for
ata Scientists: Take your analysis beyond the Jupyter notebook, add interactivity to your analyses, and share insights seamlessly.Python Developers: Build powerful web apps without learning JavaScript or HTML.Business Analysts: Create self-service dashboards for stakeholders.Students & Enthusiasts: Learn a high-demand skill in the growing field of data science and become a freelance consultant.Why Take This Course?No prior web development experience is required!Hands-on coding exercises and real-world projects.Practical examples tailored for data science, business analytics, and research applications.Tips and tricks to create performant, polished dashboards.By the end of this course, you'll be confident in designing and deploying Shiny-powered Python apps that bring your data to life. Let's build something amazing together!Who this course is for
The course is for students with a knowledge of Python that are interested in creating web apps and dashboards using only python.
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