Enroll Course: https://www.udemy.com/course/build-an-interactive-data-analytics-dashboard-with-python/
Are you looking to build dynamic, interactive data dashboards that impress? Look no further than Udemy’s ‘Build an Interactive Data Analytics Dashboard with Python’ course. This comprehensive program offers a hands-on approach to creating a live, automatically updated Coronavirus Forecasting Dashboard, showcasing historical and predicted data for cases and deaths worldwide.
The course meticulously guides you through the entire development lifecycle. You’ll start with the crucial steps of getting, cleaning, and transforming data, ensuring its readiness for predictive modeling. The curriculum then dives into essential data smoothing techniques, like LOWESS, to refine raw data for better trend detection. A significant portion is dedicated to modeling, covering both exponential growth/decline models and more sophisticated Logistic Growth Models capable of capturing ‘S-Curve’ patterns. You’ll even learn to model new waves of data, making your predictions robust and adaptable.
What truly sets this course apart is its practical application. You’ll learn to encapsulate your models into Python classes, preparing them for production. The course heavily features Plotly for creating stunning interactive visualizations, and provides fundamental knowledge of HTML and CSS to enhance your dashboard’s presentation with Dash. Building the dashboard itself is a core component, with detailed instruction on creating interactive elements using Dash. Finally, the course tackles deployment, offering two distinct methods to get your dashboard live on a remote server for global access.
With 13 Jupyter Notebooks, 26 detailed exercises with solutions, a 200-page PDF, and all production code, this course is packed with value. You’ll leverage powerful Python libraries such as Pandas for data manipulation, Statsmodels for smoothing, Scipy for modeling, Matplotlib for static plots, Plotly for interactive visuals, and Dash for dashboard creation. The inclusion of HTML/CSS customization and even Linux Ubuntu server setup for deployment makes this a complete end-to-end learning experience.
Whether you’re a data analyst, a budding data scientist, or a developer looking to add interactive web applications to your skillset, this course is highly recommended. It provides the practical skills and a tangible project to showcase your abilities.
Enroll Course: https://www.udemy.com/course/build-an-interactive-data-analytics-dashboard-with-python/