May 03, 2020
This course provides an introduction of some important concepts and tools on a very important aspect of data science: cleaning and organizing data before any analysis. A must for any data scientist.
Feb 02, 2016
Easy, mostly instructive Course. The Assignments and quizzes are quite good, and illustrates the lessons very well.\n\nSee the videos for general presentation, but use the energy on the excersizes.
By Sudarshan P•
Dec 05, 2017
The course material needs update. There are code snippets that do not work.
By Aditya D•
Sep 18, 2017
This course could have been better. It was all textual and it got boring.
By James C•
May 30, 2017
Final assignment is not well detailed, and may cause confusion.
By Guy P•
Mar 03, 2016
This course lacks projects to implement the skills we learn.
By Lee D•
May 19, 2016
The course was a bit mixed in terms of its quality.
By Colin H•
Oct 21, 2020
Guidance for assessments could be a lot better
By Adam K•
Aug 26, 2019
Very poor instructions for assignments.
By Rafee S•
Feb 25, 2019
waste of time for software engineers
By Maximilian P•
Jul 11, 2018
Too many things in one place
By Sergio B S•
Nov 17, 2017
Worst class in this series.
By Michal K•
Apr 29, 2016
By Leandro J G D•
May 12, 2020
Aug 05, 2016
By Walson Q•
Nov 29, 2018
By Dan H•
Jan 17, 2018
This course is about getting data from the web and processing it using a computer language and packages in that language that are under active development. There is a github repo with course content and other electronic resources that are made to be easy to update. It has never been updated, even once since the course first went live 4 years ago. There are many broken links, several new features and bugs in packages that make lecture content obsolete or broken, errors found by students, etc. None of these issues have been addressed, even once, in any of the material, including the extremely easy to update content on github. This is disappointing and not very professional. Additionally, many of the notes are not particularly good to begin with. Much of it is essentially cribbed from other online tutorials, examples in the documentation, and in a few cases, someone else's (also broken) lectures. Take this course if you want a study group (the forums are actually quite useful) to help you go through 4 year old lectures rehashing online tutorials from 4 years ago about a topic that changes pretty quickly.
By Mariia D•
Oct 13, 2020
If you are wondering is it worth paying - the answer is "NO".
Course is badly outdated, lectures are useless and even do not help to complete quizzes. Too much of a real life - information is old or incomplete or wrong and you need to sort out dozens of additional sources looking for an answer.
I suppose that that the reason why we want to learn before going for real tasks is that it is much more productive to go step-by-step, using reliable instruments, and proceed to troubleshooting only with the good knowledge of working solutions.
This is not the case with this cource, here you need to troubleshoot from the very beginning. That is an exercise in frustration and googling, seriously.
I was going to take the entire specialization, but I changed my mind and stop now.
By Grant I•
Jan 22, 2018
Made it all the way to week four and decided to drop this entire specialization. The data set in the final project is poorly referenced (despite the code book provided). The data set comes in 24 text files you have to merge (which isn't a problem in R) but what is a problem is when you don't understand what the variables and observations are. Perhaps if I worked in the medical field these measurements would mean more, but to a business major, they are incomprehensible with the limited documentation provided. So my assumption was, if I am having difficulty understanding what the final data structure should look like, others will be having the same problem......and its peer reviewed. How can I possible grade someone else
By Abdulaziz M A A•
Jul 02, 2020
I have to date completed the first 2 courses in Data Science: Foundations using R Specialization.
Today I have cancelled my subscription for the following reasons:
1 Poor course design and delivery
Lesson contents inadequately covered and sourced, lecturers deliver a fast paced recordings with very little examples and references making it hard for beginner students to keep pace and find themselves unprepared for the required quizzes and exams.
2 Course materials needs to be updated and presented to facilitate learning , eg. often times students are referred to static links and too many many times new and un-familiar concepts/ functions are rushed thru with no introduction or explanation.
By Apurva G•
Mar 30, 2020
Its extremely difficult to install the packages. Most of the time the instructions are not clear on what packages to intall in the videos. There should be a pre-read with links and instructions on which packages are needed to be able to work on this course. Extremely frustrating, considering a majority of the time is wasted just trying to figure out how to install packages. If you are serious about success of course takers, you have to make it easier to understand and instructions have to be clear.
By Deleted A•
Jan 14, 2017
For such a terrible course to then change payment terms without my authorisation. Take $64 from my account without telling me clearly amongst all the other junk mail. Coursera have a lot to answer for, and this specialisation is not even worth wasting your time if it was free.
Taught without purpose; meaningless instructions given to copy without regard of the bigger picture.
By Quoc N•
Feb 18, 2018
First quiz states 10 minutes for a 5 question quiz. I am taking way longer due to errors in loading packages and Java. One of the question is out of date and has not been updated in a year. Quality of this course is lacking when changes are constant. The mentors say it's realistic. I'd considering dropping this course and search for a better updated one.
By Pooia L•
Aug 19, 2018
This was a mix of everything course, nothing was completely explained. It would have been a better idea to just pick a limited options and cover them well. The description of the final project was a puzzle and the objective behind it was completely vague. I wanted to quit in the middle, but I put time and that is why I finished it!!!
By Antti S•
Oct 17, 2016
Lectures and other material just don't cover the information needed in the course project. Majority of the learning has to be done outside of this course, in order to pass the course project.
I cannot recommend this course anyone who is not deeply familiar with the topic already. The course project is truly frustrating!
By Shanmuga P•
Jan 14, 2018
Expected more explanation with the teaching part, detailed lecture depicting live examples is needed to explain each and every module of the course. similar examples like Assignments can be taught by hard-coding them with RStudio
hoping that these things can change with the next courses which I'm enrolling
By Diogo M•
Aug 06, 2018
MUito rápido o conteúdo e o fato do suporte ser somente o fórum deixa o curso vago, achei muito fraco os slides e o método de ensino.
Poderiam focar mais em exercícios e nos comandos mais difíceis, pois quando chega nos assignments fiquei perdido por não ter conseguido realizar da forma esperada.