2 mai 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.
1 févr. 2016
Easy, mostly instructive Course. The Assignments and quizzes are quite good, and illustrates the lessons very well.
See the videos for general presentation, but use the energy on the excersizes.
par Ashish T•
5 mai 2018
Good way to get introduced to the tiny verse packages and importing, prepping datasets before they can used for exploratory analysis and modelling.
Could have gone a bit more in depth on how to deal with dates, and regular expressions.
4 oct. 2016
Course is great, specially the assignments. Don't depend on lecture videos too much, this is a programming course so you'll have to get your hands dirty. Don't forget to work on swirl() package, its a great way to learn interactively.
par Owen P•
19 déc. 2016
The content is good for the most part. There are some errors in the instructions to the assignment which make the assignment more like a real-world spec than the authors probably intended, but that's not necessarily a bad thing!
par Gabriel T d O•
17 mars 2017
Great course. Could be more interactive and could have more detailed instructions for the Course Project. Last task for the Course Project uses a function that is not covered in previous lessons, which I think is not OK.
par pascal b•
21 févr. 2017
I really started to get interested in R only when I started this course.
Before that, it was just an old, cryptic language that could not do more than what I can do with Excel.
Now I am starting to see the full potential
par Luis G N C•
1 mai 2019
It is a good course. I believe that the final project is challenging but quite extensive and requires dedication to solve it. I would have liked for this course, to establish a formal methodology for data cleansing.
par Lorenzo R•
7 juil. 2019
Some files that were used for the examples were no longer accessible. Updates to the xlsx package also were not reflected or discussed. As I noticed on the forums several students had issues with java dependencies.
par Timofan M•
29 août 2019
The 3rd course in the specialization was great in terms of the materials presented.
But the "homework" requirements were a little bit unclear most of the times, even though the actual solution was fairly simple.
par Valerie H•
24 nov. 2016
Capstone project is a little ambiguous. Although that's good experience having to find a way to reason out what the objective is based on limited information.
Introduction to chained dplyr is incredibly useful.
par Jesus M S•
22 avr. 2020
Clearly structured course, but as with previous courses of the Data Science program, there is a gap regarding coding skills which the course does not till for those of us lacking a programming background.
par Juan P L R•
10 août 2020
Most of the course was interesting, well-designed and useful. Some lectures and links have to be upgraded. This is a really good course if you want to know what possibilities you have to get data with R.
par Sean F•
1 nov. 2018
Good course, instructors are very knowledgeable. Would be good to add more practical lessons and extend the course. As they say, repetition is the law of learning. Thank you for helping me get this far!
par Tony W•
5 mai 2016
The assignment was excellent but challenging, instruction wasn't too clear or obvious though, struggled for a while (good kind of struggle)
The lecture was okay but the Swirl part is always fantastic.
par Carlos G W•
7 août 2020
I think that the level of difficulty of the exercises and final assignment does not match with the depth of the lectures; without a textbook, I feel lost, don't have a reference, and have to guess.
par NEVIN T K•
19 mai 2020
The 'cleaning data' part was explained pretty well... I do feel he could've gone into more detail for the 'gathering data' part- especially the webscraping part. Other than that, great course!
par aparna T•
20 nov. 2017
Very interesting and enjoyed doing the Assignment.
but the assignment instructions are not clear.A lot of time was wasted trying to figure out what data is what are what are we interested in.
par Ash G•
8 mai 2020
The course was very helpful & guided but since I don't have a strong coding background I felt myself getting lost often. It would be really helpful if there is some guidance in assignments.
par Joonas S•
19 oct. 2016
The course material is ok - it would really need a book like the other courses have. It is much easier to check something from a book than slides/video when doing the assignments etc. .
15 août 2018
The Swirl practice part is great! But there is a big gap between what we learned from video/swirl and the course project! The project is much harder than what I learn from the course.
par Robert D•
9 nov. 2016
Good coverage of topics. A bit scattered in early slides and assignments were often inconsistent with coursework. Overall a great introduction of what to expect when gathering data.
par Nicolas G J•
24 mai 2021
Sometimes the instructions are not clear enough, and it was necessary to ask in the forums. Sometimes it feels "tricky" and makes harder to find the solution even in simple problems.
par Ramon R•
9 juil. 2017
I found the last project insufficiently explained. I was struggling in understanding what the task is. A bit more clear task description (as in Course 2) would be really appreciated.
par John S•
5 mai 2016
Actually, very interesting and helpful class. The one area around more complex structures (API, XML) warrants more attention, since I assume those are more dominant access methods.
par He S K•
24 juin 2016
good introduction and practice being given on handling data cleaning. Lesser thought on getting data merely introduction. Still good to give a try if you are new in data analysis.
par Маношин А А•
21 avr. 2020
The course is good, but I have met some inconveniences with week 4 tasks because of bugs in swirl ( they can be met when you in not USA timzone) and not-so-clear course project.