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via Udemy |
Go to Course: https://www.udemy.com/course/ciencia-de-datos-para-todos-los-publicos/
Certainly! Here is a comprehensive review and recommendation for the Coursera course based on the provided details: --- **Course Review and Recommendation: Introduction to Data Science with R and Social Media Analytics** The "Introduction to Data Science with R and Social Media Analytics" course on Coursera offers an engaging and practical approach to understanding the fundamentals of data science, specifically through the lens of social media data, including Twitter. Despite the recent changes announced by Twitter, which now require developers to pay for API access, this course still provides valuable content by focusing on the initial modules that do not depend on live API data. This ensures learners can continue progressing without interruption. **What the Course Offers:** - A thorough introduction to what data science is and how it applies to real-world problems. - Step-by-step guidance on installing and using the R programming language. - Development of analytical thinking skills to formulate hypotheses about social media comments and data. - Practical exercises on importing, transforming, and visualizing social media data using R. - Techniques for downloading, transforming, and analyzing social media data to generate insights and test hypotheses. - Self-paced learning that emphasizes hands-on application, making complex concepts accessible and manageable. **Strengths:** - The course is 100% applied, emphasizing problem-solving and real-world applications. - It provides a supportive learning community via Telegram, allowing students to interact with peers and instructors, clarify doubts, and enhance their learning experience. - Focus on empowering students to use R for data analysis, a valuable skill in various industries. **Limitations:** - Due to Twitter's API access restrictions (as of February 2023), live data collection from Twitter may not be feasible in all modules. However, the course still covers foundational concepts and techniques that are applicable to other data sources or future API access. **Who Should Take This Course:** - Beginners interested in learning data science and R. - Social media enthusiasts or analysts wanting to understand how data analysis can reveal insights. - Students seeking practical, hands-on experience in data manipulation, visualization, and hypothesis testing. **Final Verdict:** I highly recommend this course for anyone eager to step into the world of data science with a focus on social media analytics. Its practical approach, supportive community, and comprehensive coverage make it an excellent starting point. While Twitter API access may pose some limitations, the skills learned will remain valuable across various data analysis scenarios and social media platforms. Take advantage of this course to build a strong foundation in data analysis with R, and enjoy exploring the fascinating insights hidden within social data! --- Let me know if you'd like a shorter summary or specific details added!
ATENCIÓNTwitter anunció que a partir del 9 de febrero 2023 los desarrolladores tendrán que pagar para acceder a su interfaz de programación. Por una limitación de Twitter, ya no es posible acceder a contenido de esta red social usando comandos de R, Python o cualquier otro lenguaje de programación sin antes pagar por el acceso a la plataforma. Sentimos profundamente esta decisión de Twitter y que los alumnos del curso no puedan realizar todas las clases programadas.Sin embargo, aún es posible seguir las clases del módulo 1 al 6, que no dependen de la API de Twitter. --Con nuestro curso vas a aprender qué es la ciencia de datos y el lenguaje de programación R y como es posible utilizarla para entender qué pasa en las redes sociales, en particular en Twitter.El curso es 100% aplicado a resolver problemas. Vamos a avanzar despacio, pero al final del curso serás capaz de:Entender que es el Ciclo de la ciencia de datosInstalar y utilizar el lenguaje RUtilizar tu pensamiento analítico para crear hipótesis sobre como sacar informaciones útiles de los comentarios en redes sociales como TwitterImportar, Transformar y Visualizar diferentes tipos de datos usando el lenguaje RDescargar datos de Twitter usando el lenguaje RTransformar, Visualizar y Calcular Métricas sobre los datos de redes sociales para contestar preguntas y probar tus hipótesisTodo eso a tu ritmo, de manera 100% aplicada.Además del curso, tenemos una comunidad de alumnos y profesores en Telegram, con quién podrás interactuar, sacar dudas y seguir avanzando en tus estudios de Ciencia de Datos y R.Espero que disfrutéis de ese maravilloso mundo de la ciencia de los datos! Nos vemos dentro!:)