This Specialization is intended for data scientists with some familiarity with the R programming language who are seeking to do data science using the Tidyverse family of packages. Through 5 courses, you will cover importing, wrangling, visualizing, and modeling data using the powerful Tidyverse framework. The Tidyverse packages provide a simple but powerful approach to data science which scales from the most basic analyses to massive data deployments. This course covers the entire life cycle of a data science project and presents specific tidy tools for each stage.
The course is a breeze to follow because it aligns seamlessly with the book. As such, rather than watching videos, you get to read the book; it's really a convenient approach. Bravo!
Very useful and informative, especially for web related data, e.g. web scraping, json, api's, etc.
Excellent course! I've learned so many useful R techniques/codes!
Covers really important concepts and procedures for managing data science projects. Very helpful.
Excellent. While there were no lectures, and it is possible to simply read the authors' book, having the quizzes makes the difference between just reading and actually learning. Thanks!
Great course with clearly understandable lectures.
Good overview of the Tidyverse and nice introduction.
Great for beginners. Clearly explained, and easy to follow.
G​reat course to get yourself acquanted with data wrangling in Tidyverse.
Excellent tutorial for importing data into the tidyverse environment
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The course is a breeze to follow because it aligns seamlessly with the book. As such, rather than watching videos, you get to read the book; it's really a convenient approach. Bravo!
Covers really important concepts and procedures for managing data science projects. Very helpful.
Good overview of the Tidyverse and nice introduction.
Beautiful yet simple.
excellent course
Thank you
good
really learnt a lot about tidyverse and how to make data tidy. however, i was not very sure what an r markdown file was (it was requested in the final project); perhaps some elaboration or clarity on what that is may help beginners such as myself tackle the project better. extremely educational course!
There are not enough exercises to be done.
Extremly high level course with very little value :(. I used to love RDPengs videos & introductions. A hands on video or at least a proper introducction would be great. The course is very barren and it doesn't even chat about Hadley Wickham or why does the Tidiverse + RStudio are being developed by the same team etc. The concenpts are valuable, the approach is subpar for the teachers.
This course is completely impractical. It contains a list of packages with basically no useful information. How can this be considered $49 worth of content. This is particularly disappointing because the R programming courses offered by John Hopkins a few years ago (for free) where superb.
Useless course. No video instructions.