2 мая 2020 г.
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.
25 окт. 2016 г.
This course is really a challenging and compulsory for any one who wants to be a data scientist or working in any sort of data. It teaches you how to make very palatable data-set fro ma messy data.
автор: Thomas G•
6 июня 2020 г.
Each quiz made me learn something new. The final assignment was just the right amount of challenge for a MOOC.
автор: AMY B P•
25 мая 2019 г.
The assignment was quite challenging bu the course overall was very good. The course was structured very well.
автор: Marcus V M d S•
29 мая 2017 г.
Learned a lot, manipulating real data sets to produce "tidy" data sets, suitable for analysis. A great course!
автор: VIVEK R•
5 июня 2016 г.
Its really help me a lot to build up my basic concept and now data wrangling is quit bit easy for me.
автор: William B B•
12 июня 2019 г.
Excellent course. I've already used some of the techniques learned here. It's very applicable to those in o
автор: Ritayan G•
30 мая 2020 г.
At first sight seemed very easy but the assignments and quizzes are really challenging. Overall nice course.
автор: Deyban P•
12 окт. 2016 г.
Great course, you learn a lot of ways to find data and improve other skills as regex and the use of "dplyr".
8 мая 2017 г.
Take it twice if needed, do not go pass this point until the science behind this course is well understood.
автор: ZAMI K•
21 апр. 2020 г.
If you really want to learn, there is no better option than these courses of Data Science Specialization.,
автор: Michael S•
26 апр. 2016 г.
Fantastic knowledge cleverly delivered. This course adds structure and polish to your data munging skills.
автор: Yasel G S•
4 авг. 2016 г.
This course was very important for my work. I learned so much and I want to say thanks to the professors.
автор: Jigar P•
29 янв. 2019 г.
this course is a hands of this specialization in R.
this hands use to play with a raw and tidy data in R.
автор: Edwin L A•
31 июля 2017 г.
He aprendido muchísimo pero sobre todo he adquirido estrategias para realizar un buen análisis de datos.
автор: Abhimanyu B•
2 янв. 2017 г.
Teaches a crucial and often overlooking step in the data analysis workflow. Brilliant tips and insights!
автор: Francisco M R O•
28 нояб. 2018 г.
This course was very good, I learned a lot of useful things about R and how processed data should look.
автор: Sandhya A•
23 февр. 2018 г.
I have learnt a lot. Overall content is great ,in a small span of time I did learn few good techniques.
6 янв. 2019 г.
Great course with detailed exercise about what's most important task in Data Science, "Cleaning Data"
автор: Pieter v d V•
29 янв. 2018 г.
Tells you the clean data standards and how to transmute data to fit the description. Very accessible.
автор: Muhammet A•
21 апр. 2019 г.
I wholeheartedly enjoyed this course. It goes from very simple, to pretty advanced stuff at the end.
автор: Keidzh S•
12 мар. 2018 г.
This course is absolutely fantstic education. More practice tasks will make it better in my opinion.
автор: Quiniou C•
16 сент. 2017 г.
This course is very interesting, we are starting to work on how to transform dataset into tidy data.
автор: Rohit A•
12 июня 2019 г.
Nice course to understand the deep insight in understanding the concept of the data cleaning in R.
автор: Asif M A•
18 апр. 2016 г.
A good start for data science course. It is very essential to cleanse data before start analyzing.
автор: Admet Z•
7 нояб. 2017 г.
It was a bit harder, than Course 2 but still I was able to finish it and want to learn even more.
автор: Sravan K•
28 мая 2017 г.
It's very nice course and material is very good. The quiz is very challenging. Thanks to coursera