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via Udemy |
Go to Course: https://www.udemy.com/course/build-an-interactive-data-analytics-dashboard-with-python/
Certainly! Here's a comprehensive review and recommendation for the Coursera course "Build an Interactive Data Analytics Dashboard with Python." --- **Course Review and Recommendation: Build an Interactive Data Analytics Dashboard with Python** **Overview:** "Build an Interactive Data Analytics Dashboard with Python" is an in-depth course designed for aspiring data analysts, data scientists, and developers interested in creating real-time, interactive dashboards using Python. The course centers around building a live Coronavirus Forecasting Dashboard, which tracks and predicts COVID-19 cases and deaths worldwide and across U.S. states. This practical project-based approach makes the course highly engaging and relevant, offering hands-on experience in data collection, cleaning, modeling, visualization, and deployment. **What You Will Learn:** The course guides you step-by-step through the entire process—from raw data acquisition to deploying a fully functional dashboard accessible to the global public. Key skills include: - Data collection, cleaning, and transformation - Data smoothing techniques (e.g., LOWESS) - Building exponential and logistic growth models - Detecting and modeling multiple waves of COVID-19 - Encapsulating code into reusable Python classes - Creating interactive visualizations with Plotly and Dash - Customizing dashboards with basic HTML and CSS - Deploying your project on a Linux server for live access **Course Content & Materials:** This course offers extensive resources: - 13 comprehensive Jupyter Notebooks - 26 exercises with detailed solutions - A 200-page PDF summarizing all course content - Complete production code for the dashboard Technologies used include Python with libraries such as Pandas, Statsmodels, Scipy, Matplotlib, Plotly, and Dash. The course also covers server setup on Linux Ubuntu for deployment, providing valuable knowledge for real-world application. **Pros:** - Hands-on project focusing on COVID-19 forecasting, making the skills directly applicable - Detailed coverage of data science pipelines from raw data to deployment - Rich instructional materials, including notebooks and solutions - Focus on modern visualization tools (Plotly and Dash) - Practical deployment instructions for sharing your work publicly **Cons:** - The technical depth might be challenging for complete beginners without prior programming or data analysis experience - No formal syllabus is provided upfront, so learners should be prepared for a self-directed learning style **Who Should Enroll:** - Data enthusiasts interested in building end-to-end dashboards - Developers seeking to extend their skill set into data visualization and deployment - Professionals aiming to learn real-world modeling and visualization techniques - Anyone interested in COVID-19 data analysis, though the techniques are transferable to other domains **Conclusion & Recommendation:** This course is an excellent choice for those looking to gain practical, in-demand skills in data visualization, modeling, and deployment using Python. Its comprehensive approach ensures that you'll not only learn theoretical concepts but also produce a tangible, functional dashboard that can be showcased in portfolios or used in real-world applications. **Final verdict:** Highly recommended for intermediate learners with some background in Python and data analysis. If you're eager to develop interactive dashboards and deploy data-driven applications, this course will serve as a valuable investment in your skillset. --- Let me know if you'd like a shorter summary or assistance with anything else!
This course teaches you all of the skills to build interactive data analytics dashboards with Python. Specifically, you will be building a Coronavirus Forecasting Dashboard that shows historical and predicted values for deaths and cases for all countries in the world and US states from the ongoing coronavirus pandemic. The final product will be a live dashboard, automatically updated daily, hosted on a remote server for anyone, anywhere in the world to see!You will learn and complete the entire process for building the dashboard including the following topics:Getting, Cleaning, and Transforming the Data - You will learn how to collect the data, find and clean bad data, and transform it so that it can be used for building models capable of prediction.Data Smoothing - You will learn several different techniques such as LOWESS to smooth the jagged raw data so that the model can better detect trends.Exponential Growth and Decline Models - You will begin modeling coronavirus cases for each area of the world with these simple models that can capture a single exponential growth or decline phase, but not both.Logistic Growth Models - You will learn about a separate class of "S-Curve" models capable of capturing both exponential growth and decline in the same model.Modeling New Waves - Coronavirus cases appear in waves over different time periods. You will learn how to change your model so that it can detect any number of new waves in the future.Encapsulation into Classes - After selecting your model, you will encapsulate all of the code together into Python classes, eventually to be used in your final production code.Visualizations with Plotly - You will learn how to use the Plotly Python library to create interactive data visualizations targeted for the webHTML and CSS - You are building a web application and will learn the fundamentals of HTML and CSS to help add customization with the help of Dash.Building the Dashboard with Dash - You will learn how to build all of the components and interactivity of the dashboard with the Dash Python library.Deployment - One of the most exciting parts of a project is deploying it on your own server for the world to see. You will learn two different deployment options - one simple and the other more complex, but with more flexibility.What's Included?This course comes with a massive amount of material including:13 Jupyter Notebooks26 Exercises with detailed solutions200 page PDF of the entire course contentAll production code for the dashboardTechnologies usedAll code for developing the dashboard will be done using PythonPandas will be used extensively for analyzing and transforming dataStatsmodels will be used for smoothingScipy will be used for building the models for coronavirus cases and parameter optimizationMatplotlib will be used in the notebooks for static visualizationsPlotly will be used for interactive data visualizations that appear in the dashboardDash will be used for building the dashboard itselfHTML/CSS will be used together with Dash to customize components of the dashboardYou'll learn how to setup your own Linux Ubuntu server to run your dashboard