Crea una APP con Google Looker Studio y Python

via Udemy

Go to Course: https://www.udemy.com/course/ejercicio-crea-una-app-con-google-data-studio-y-python/

Introduction

Certainly! Here's a comprehensive review and recommendation for the Coursera course based on the provided details: --- **Course Review and Recommendation:** **Overview:** This course on Coursera is a unique and innovative exercise rather than a traditional instructional course. It challenges participants to explore and expand the potential uses of Google Data Studio beyond its conventional role of creating reports and visualizations. The course emphasizes a hands-on approach, combining the power of Python for data processing with Google Data Studio for displaying insights. **What You'll Learn:** - How to leverage Python to automate data handling and processing tasks. - Techniques for integrating Python with Google Data Studio to create dynamic, shareable dashboards. - Ways to enhance your data app with additional features such as statistical analysis, historical data tracking, and machine learning-based predictions. - Best practices for sharing your work globally through simple URLs, effectively creating web apps. **Course Highlights:** - Practical, project-based learning encouraging active participation. - A focus on real-world applications such as monitoring gas prices across Spain, with potential for further automation and refinement. - Opportunities to extend the project by adding features like price forecasting and ranking systems, fostering creativity and problem-solving skills. **Who It's For:** This course is ideal for data enthusiasts, developers, analysts, and anyone interested in expanding their data visualization skills and exploring innovative uses of existing tools like Google Data Studio. A basic understanding of Python and data handling would be beneficial but not mandatory, as the course promotes active learning and contribution. **Pros:** - Hands-on, practical approach to learning. - Encourages innovation and customizing tools for specific needs. - Community-oriented, fostering collaborative improvement. - Demonstrates effective ways to make data accessible and engaging via simple web apps. **Cons:** - Not a traditional course with structured lessons, which might require self-motivation. - Might be challenging for complete beginners without prior programming experience. **Final Recommendation:** I highly recommend this course for those interested in data visualization, automation, and expanding the functional applications of Google Data Studio. It’s particularly suited for learners who enjoy tackling real-world problems, creating innovative solutions, and engaging actively with the learning community. The project-based nature makes it an excellent opportunity to develop a tangible skill set that can be applied in various professional scenarios. **Conclusion:** If you're looking to go beyond basic reports and create interactive, shareable data applications with automation and predictive capabilities, this course offers a compelling, hands-on learning experience. Join the challenge, contribute actively, and unlock new potentials for data visualization with Google Data Studio and Python! --- Would you like me to help you craft a personal review or promotional content for sharing with others?

Overview

Este no es un curso al uso, es un ejercicio y parte de una pregunta:¿Se podría dar otro uso a Google Data Studio, aparte de realizar informes y gráficos?La respuesta es sí y lo vamos a ver paso a paso.En este reto trato de combinar la potencia de Python como herramienta para el tratamiento de los datos y la potencia y flexibilidad de Google Data Studio para mostrar esos datos.Además Google Data Studio nos va a permitir compartir ese informe con forma de APP a todo el mundo solo utilizando su URL.Este reto está abierto y la app se puede ampliar para mejorar su rendimiento.De entrada se me ocurre que:Faltaría automatizar el algoritmo de Python.Faltaría añadir estadísticas a la app, tales comoDía de semana con el precio más barato.Ranking de gasolineras con los precios más baratos de España.Histórico de precios.Y alguna rutina de machine learning que nos ayude a preveer una posible subida de precios y alertar.¿Te sumas a este fantástico reto?Te espero en este curso ejercicio de creación de una "APP" con Google Data Studio y Python y espero tu contribución de forma activa, de esta forma mejoraremos la aplicación entre tod@s.En siguientes propuestas te mostraré mas potencialidades en Google Data Studio.

Skills

Reviews