Enroll Course: https://www.udemy.com/course/build-an-interactive-data-analytics-dashboard-with-python/
If you’re interested in data science, web development, or simply want to create a powerful, real-time COVID-19 dashboard, the Udemy course ‘Build an Interactive Data Analytics Dashboard with Python’ is an excellent choice. This course takes you through the entire process of building a live, interactive data visualization tool, from data collection and cleaning to deployment on a server. What sets this course apart is its practical approach: you’ll build a Coronavirus Forecasting Dashboard that not only displays historical data but also predicts future trends across the globe and US states. The course covers essential topics such as data smoothing techniques like LOWESS, exponential and logistic growth models, and advanced methods for detecting multiple waves in the data. It teaches you how to encapsulate your code into classes for better organization, use Plotly for stunning interactive visualizations, and leverage Dash along with HTML and CSS to create a polished web application. One of the most valuable parts of this course is the emphasis on deployment, guiding you through hosting your dashboard on a Linux Ubuntu server for worldwide access. The course includes extensive materials—13 Jupyter Notebooks, 26 exercises, a 200-page PDF, and full production code—making it ideal for learners who want hands-on experience. Whether you’re a beginner eager to learn data visualization or a seasoned developer looking to enhance your portfolio, this course provides all the tools and knowledge needed to create impactful, real-time dashboards. I highly recommend this course for anyone looking to blend data science, web development, and real-world application in one comprehensive package.
Enroll Course: https://www.udemy.com/course/build-an-interactive-data-analytics-dashboard-with-python/