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Panel and hvPlot: A high-level Data Visualization for Python

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Panel and hvPlot: A high-level Data Visualization for Python, available at $54.99, has an average rating of 5, with 33 lectures, based on 71 reviews, and has 180 subscribers.

You will learn about Understand the key concepts of data visualization and its significance in analyzing and communicating data effectively. Develop proficiency in using Panel and hvPlot libraries to create interactive and visually appealing data visualizations. Explore the advanced features and customization options of Panel for building interactive dashboards. Apply data visualization techniques to real-world datasets and gain insights from data. Learn best practices for designing visually appealing and impactful data visualizations. Gain practical experience in creating end-to-end data visualization projects using Panel and hvPlot. This course is ideal for individuals who are This course is designed for Python developers, data analysts, data scientists, and anyone interested in harnessing the power of Panel and hvPlot libraries for high-level data visualization in Python. Whether you are a beginner looking to expand your data visualization skills or an experienced practitioner seeking to enhance your toolkit, this course provides a comprehensive introduction and in-depth exploration of Panel and hvPlot. It is particularly useful for This course is designed for Python developers, data analysts, data scientists, and anyone interested in harnessing the power of Panel and hvPlot libraries for high-level data visualization in Python. Whether you are a beginner looking to expand your data visualization skills or an experienced practitioner seeking to enhance your toolkit, this course provides a comprehensive introduction and in-depth exploration of Panel and hvPlot.

Enroll now: Panel and hvPlot: A high-level Data Visualization for Python

Summary

Title: Panel and hvPlot: A high-level Data Visualization for Python

Price: $54.99

Average Rating: 5

Number of Lectures: 33

Number of Published Lectures: 33

Number of Curriculum Items: 35

Number of Published Curriculum Objects: 35

Original Price: £44.99

Quality Status: approved

Status: Live

What You Will Learn

  • Understand the key concepts of data visualization and its significance in analyzing and communicating data effectively.
  • Develop proficiency in using Panel and hvPlot libraries to create interactive and visually appealing data visualizations.
  • Explore the advanced features and customization options of Panel for building interactive dashboards.
  • Apply data visualization techniques to real-world datasets and gain insights from data.
  • Learn best practices for designing visually appealing and impactful data visualizations.
  • Gain practical experience in creating end-to-end data visualization projects using Panel and hvPlot.

Who Should Attend

  • This course is designed for Python developers, data analysts, data scientists, and anyone interested in harnessing the power of Panel and hvPlot libraries for high-level data visualization in Python. Whether you are a beginner looking to expand your data visualization skills or an experienced practitioner seeking to enhance your toolkit, this course provides a comprehensive introduction and in-depth exploration of Panel and hvPlot.

Target Audiences

  • This course is designed for Python developers, data analysts, data scientists, and anyone interested in harnessing the power of Panel and hvPlot libraries for high-level data visualization in Python. Whether you are a beginner looking to expand your data visualization skills or an experienced practitioner seeking to enhance your toolkit, this course provides a comprehensive introduction and in-depth exploration of Panel and hvPlot.

Unlock the power of data visualization in Python with Panel and hvPlot! In this comprehensive Udemy course, you will dive into the world of high-level data visualization techniques using two powerful libraries: Panel and hvPlot. Whether you’re a data scientist, analyst, or developer, this course will equip you with the skills and knowledge to create stunning visualizations and interactive dashboards with ease. Join now and take your data visualization skills to new heights!

By the end of this course, learners will be able to:

  1. Master the fundamentals of Panel and hvPlot: Gain a comprehensive understanding of Panel and hvPlot libraries, their key concepts, and how they fit into the Python data visualization ecosystem.

  2. Create interactive dashboards: Learn how to design and build interactive data dashboards using Panel, enabling users to explore and analyze data with ease.

  3. Enhance visualizations with hvPlot: Explore the powerful capabilities of hvPlot to create stunning and dynamic visualizations, incorporating a wide range of chart types, customizations, and interactivity.

  4. Integrate Panel and hvPlot with existing workflows: Discover how to seamlessly integrate Panel and hvPlot into your existing Python data analysis workflows, leveraging their compatibility with popular data manipulation and analysis libraries.

  5. Customize and style your visualizations: Unlock the ability to customize and style your visualizations in Panel and hvPlot, allowing you to create visually appealing and professional-looking dashboards tailored to your specific needs.

  6. Deploy and share your dashboards: Learn how to deploy and share your interactive dashboards created with Panel and hvPlot, enabling you to collaborate with others, present insights, and showcase your work effectively.

  7. Manage data visualization challenges in your real-world projects and applications: Apply your newly acquired knowledge to real-world projects and explore practical use cases across various domains, ensuring you are well-prepared to tackle data visualization challenges in your professional career.

By the end of this course, you will have the skills and confidence to leverage Panel and hvPlot to create powerful, interactive, and visually compelling data visualizations and dashboards in Python.

Enroll now and unlock the potential of these high-level tools for your data visualization projects.

Course Curriculum

Chapter 1: Introduction to the Course

Lecture 1: Money-off on my Udemy courses

Lecture 2: Anaconda Installation

Lecture 3: What are Panel and hvPlot in Holoviz?

Lecture 4: Installation and Setting up

Chapter 2: hvPlot Gallery

Lecture 1: hvPlot (Part1)

Lecture 2: hvPlot (Part2)

Chapter 3: Customization

Lecture 1: Plot Customization (Part1)

Lecture 2: Plot Customization (Part2)

Chapter 4: Indicators

Lecture 1: Indicators (Part1)

Lecture 2: Indicators (Part2)

Chapter 5: Widgets

Lecture 1: Widgets (Part1)

Lecture 2: Widgets (Part2)

Chapter 6: Controlling Style using CSS

Lecture 1: Controlling Style & Layout Design

Chapter 7: Layout Design

Lecture 1: Layout 1 (Row, Columns, Divider, and Spacer)

Lecture 2: Layout 2 (Grid Box, Widget Box, and GridSpec)

Lecture 3: Layout 3 (Tabs, Card, FloatPanel, Templates)

Lecture 4: Layout 4 (Arrange Components)

Lecture 5: Layout 5 (Applying a Design)

Chapter 8: Interaction with Widgets

Lecture 1: Interaction (Part1)

Lecture 2: Interaction (Part2)

Lecture 3: Interaction (Part3)

Lecture 4: Interaction (Part4)

Lecture 5: Interaction (Part5)

Lecture 6: Interaction (Part6)

Lecture 7: Interaction (Part7)

Chapter 9: Interaction with DataFrame

Lecture 1: Interaction with DF (Part1)

Lecture 2: Interaction with DF (Part2)

Lecture 3: Interaction with DF (Part3)

Lecture 4: Interaction with DF (Part4)

Lecture 5: Interaction with DF (Part5)

Chapter 10: Dashboard Design

Lecture 1: Case Study 1 (BASIC – tricks and customizations)

Lecture 2: Case Study 2 (INTERMEDIATE – tricks and customizations)

Lecture 3: Case Study 3 (ADVANCED – tricks and customizations)

Instructors

  • Amin Karami
    Amin Karami
    Senior Big Data Consultant & Course Leader for MSc Big Data

Rating Distribution

  • 1 stars: 1 votes
  • 2 stars: 0 votes
  • 3 stars: 0 votes
  • 4 stars: 3 votes
  • 5 stars: 67 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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