Django with Data Science

Learn how to integrate Django with Pandas, Numpy, Matplotlib, Seaborn
4.50 (163 reviews)
Udemy
platform
English
language
Software Engineering
category
instructor
Django with Data Science
15 255
students
7 hours
content
Aug 2023
last update
$19.99
regular price

Why take this course?

🌟 Course Title: Mastering Django for Data Science Integration

Course Headline: 🚀 "Dive into Django with Data Science – A Comprehensive Guide to Pandas, Numpy, Matplotlib & Seaborn!"


📘 Course Description:

Welcome to the ultimate course for aspiring web developers and data scientists who want to leverage the power of Django in conjunction with the leading data science tools. In this course, you will learn how to create a robust and visually appealing User Interface using Django, enhanced by the Semantic UI framework. This isn't just another coding course; it's a deep dive into integrating Django with some of the most critical libraries in data science: Pandas, Numpy, Matplotlib, and Seaborn.

Why Take This Course?

  • No Programming Background Required: You don't need to be a seasoned programmer to benefit from this course. We start from the ground up, ensuring even beginners can follow and apply the concepts.

  • Practical Application Skills: Learn how to create custom analytic tools within the browser, making data analysis accessible to users with zero programming knowledge.

  • Full Project Experience: By the end of this course, you'll have a complete project in your portfolio that showcases your ability to integrate Django with data science tools, setting you apart from the competition.

What You Will Learn:

  • 🕸️ Django Basics & Beyond: Master the essentials of Django, from setup to deployment, and explore advanced topics like class-based views, REST frameworks, and more.

  • 📊 Data Science Integration: Understand how to integrate Pandas, Numpy, Matplotlib, and Seaborn into your Django applications for powerful data analysis capabilities.

  • 🎨 Semantic UI for Data Visualization: Learn to enhance user experience with Semantic UI, creating interfaces that are both functional and visually stunning.

  • 🛠️ Custom Analytic Tools: Build custom tools within the browser that allow users to perform data analysis without writing a single line of code.

Course Outline:

  1. Django Fundamentals: Get to grips with Django principles, project setup, and understanding models, views, and templates.

  2. Data Science Toolkit: Introduce yourself to the core concepts of Pandas for data manipulation, Numpy for numerical computations, Matplotlib for data visualization, and Seaborn for more advanced plots.

  3. Django & Data Science Integration: Learn how to integrate these tools into your Django project for real-world applications.

  4. User Interface with Semantic UI: Discover how to create a user-friendly interface using Semantic UI, enhancing the interactivity and visual appeal of your data analysis tools.

  5. Building Analytic Tools: Develop custom analytic tools that users can interact with directly in their browser, no programming knowledge required.

  6. Project Work: Apply what you've learned to a comprehensive project that demonstrates your new skills and capabilities.

Who Is This Course For?

  • Aspiring Django developers looking to expand their skill set into data science.
  • Data scientists who want to make their data analysis tools more accessible.
  • Web developers aiming to offer interactive data visualization services to clients or within their applications.
  • Anyone interested in learning how to blend web development with data science for professional growth.

📅 Start Your Journey Today! Join our community of learners and embark on a transformative journey through the world of Django and Data Science. With hands-on projects, expert guidance, and a supportive learning environment, you'll be ready to tackle complex data challenges and create stunning web applications. Enroll now and unlock your potential in the interdisciplinary field of web development and data science! 🚀✨

Course Gallery

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2834032
udemy ID
24/02/2020
course created date
11/04/2020
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