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Learner Reviews & Feedback for Data Analysis with R Programming by Google

4.8
stars
11,383 ratings

About the Course

This course is the seventh course in the Google Data Analytics Certificate. In this course, you鈥檒l learn about the programming language known as R. You鈥檒l find out how to use RStudio, the environment that allows you to work with R, and the software applications and tools that are unique to R, such as R packages. You鈥檒l discover how R lets you clean, organize, analyze, visualize, and report data in new and more powerful ways. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources. Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary. By the end of this course, learners will: - Examine the benefits of using the R programming language. - Discover how to use RStudio to apply R to your analysis. - Explore the fundamental concepts associated with programming in R. - Understand the contents and components of R packages including the Tidyverse package. - Gain an understanding of dataframes and their use in R. - Discover the options for generating visualizations in R. - Learn about R Markdown for documenting R programming....

Top reviews

TD

Jun 17, 2021

T鈥媜ugh stuff! Trying to remember the correct syntax for filtering was stressful but I'm so grateful to learn R. Thank you for this introduction. The videos were good but the hands-on really helped me.

A

Nov 27, 2021

Great introduction to what you can achieve using R. The course material is logical and well though out and the provided links to additional resources are useful to supplement your learning further.

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By German R M O

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May 27, 2025

El curso de R del Certificado de Google Data Analytics me ha parecido una excelente introducci贸n pr谩ctica al an谩lisis de datos con este lenguaje. Como aprendiz, valoro mucho que el contenido sea accesible para quienes no tienen experiencia previa, ya que va desde lo m谩s b谩sico hasta t茅cnicas m谩s aplicadas, siempre con ejemplos claros y ejercicios pr谩cticos. Me gust贸 especialmente la manera en que se ense帽a a limpiar, transformar y visualizar datos usando R y sus paquetes m谩s 煤tiles, lo que facilita entender c贸mo aplicar estos conocimientos en proyectos reales. El curso tambi茅n fomenta el pensamiento cr铆tico y la comunicaci贸n de resultados, algo fundamental para presentar an谩lisis a equipos o partes interesadas no t茅cnicas. En resumen, recomiendo este curso a quienes desean iniciarse en el mundo del an谩lisis de datos y buscan una base s贸lida y amigable en R, con recursos bien estructurados y el respaldo de una marca reconocida como Google.