Build an Interactive Data Analytics Dashboard with Python

🚀 Course Title: Build an Interactive Data Analytics Dashboard with Python

🎓 Course Headline: Embark on a comprehensive journey to create and deploy your very own data analytics dashboard, focusing on real-world applications like forecasting Coronavirus cases and deaths.

Unlock the Power of Python for Data Analytics 🐍

Dive into an enriching learning experience with our "Build an Interactive Data Analytics Dashboard with Python" course, where you'll transform raw data into a sophisticated, interactive dashboard that tracks and forecasts Coronavirus cases and deaths globally. By the end of this course, you'll have a live, automatically-updated dashboard hosted on a remote server for public access! 🌍

Key Topics Covered:

1. Data Collection & Preparation 📊: Master the art of getting, cleaning, and transforming data to ensure your models can accurately predict trends.

2. Data Smoothing 🌅: Learn to smooth out raw data using techniques like LOWESS for better trend detection.

3. Exponential Growth & Decline Models 📈: Grasp the fundamentals of modeling coronavirus cases with single phase models that can handle both growth and decline.

4. Logistic Growth Models 📉: Explore more advanced models capable of capturing complex growth patterns over time.

5. Detecting New Waves ↕️: Adapt your models to forecast future waves of the pandemic.

6. Object-Oriented Programming with Python 🧠: Encapsulate your code into classes, making your production code clean and maintainable.

7. Interactive Data Visualization with Plotly 📊✨: Create engaging, interactive charts that bring your data to life.

8. Web Development Basics 🚀: Get to grips with HTML and CSS, essential tools for customizing your dashboard's front end with Dash.

9. Building the Full-Stack Dashboard 🖥️: Learn how to build all components of your dashboard using the Dash library.

10. Deployment Options 🌐: Discover two different deployment methods to share your dashboard with the world, including a simple and a more advanced option.

What's Included in This Course?

• Extensive Learning Materials:
  • 13 comprehensive Jupyter Notebooks
  • 26 detailed exercises with solutions to test your understanding
  • A 200-page PDF of the course content for quick reference and study
  • All production code for the dashboard to help you build and learn from real examples.

Technologies You'll Master:

• Python Programming 🐍: The core language for data analysis, model building, and web application development.
• Pandas 📈: Data manipulation and analysis library in Python.
• Statsmodels 📊: Statistical modeling library that provides classes and functions for the estimation of many different statistical models.
• Scipy 🔬: Software for mathematics, science, and engineering with a focus on computational and numerical tasks.
• Matplotlib 🖼️: A plotting library for creating static, interactive, and animated visualizations in Python.
• Plotly ✨: An interactive graphing library that can create plots which are highly customizable and suitable for web display.
• Dash 🚀: A Python framework for building analytical web applications. No complex configurations necessary, Dash apps are written entirely in Python and run in the browser.
• HTML/CSS 🎨: Learn how to style your dashboard for a more polished and user-friendly interface.
• Ubuntu Server Setup 🌐: Gain the skills to set up your own server to host your dashboard, making it accessible worldwide.

Join us on this exciting educational journey and transform your data into meaningful insights with an interactive Python dashboard! 🚀✨