HS
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.
BE
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: Adi T
•15 янв. 2017 г.
I feel that getting and cleaning data course is highly important to know since this is where 80% of the work in data science is being done.
автор: Alejandro B G
•11 февр. 2016 г.
WHen i took this course i though i will never apply the knwoledge in here... i was wrong, the basis of a credibly analisis is here. Thanks!
автор: Glenn W
•4 мар. 2019 г.
Very good course. Dr. Peng did a nice job of presenting the material. The projects and quizzes were challenging as well as educational.
автор: Gowtham B
•28 апр. 2018 г.
Excellent course to learn about data pre-processing techniques and data science. Really helpful, if you wish to become a data scientist.
автор: Jheroen P
•12 дек. 2016 г.
Very useful course. I suggest taking this course straight after R programming and before taking any other courses in the specialization.
автор: Ishwarya M
•21 июня 2019 г.
The course content as well as the assessments are very good. I would recommend this course for everyone who wants to learn Data science
автор: Brett M
•12 июля 2016 г.
Really fantastic even as an experienced R user. This is helping me remould my habits and break some of the bad ones. Thank you so much!
автор: Sajal J
•14 авг. 2020 г.
Very good course. The end course project was also very good as it gives a good experience in loading and cleaning a real-life dataset.
автор: Ricardo L
•29 дек. 2019 г.
The most important information I learned was the tidy data standard. Very useful and clear. It will make the analysis process easier.
автор: Michael A C R
•17 авг. 2020 г.
Fue una experiencia maravillosa, llena de actividades y lecciones muy útiles para obtener y limpiar bases de datos. Muy provechoso.
автор: Rumian R
•13 авг. 2020 г.
Massively underrated - I appreciated this course and I learned a lot. I now find it baffling how taken-for-granted data tidying is.
автор: Georgios P
•24 сент. 2018 г.
The most crucial part of statistical inference or machine learning is tidy data and this course provides the basic tidy data rules!
автор: Yanying J
•3 февр. 2020 г.
It's useful and practical! Especially, the swirl excerises offered not only the method, but also a clear example of data cleaning.
автор: Andrew C
•8 янв. 2019 г.
The class was very interesting and useful, although I would have liked more opportunities to do web scraping in the problem sets.
автор: Shaikh M I
•21 нояб. 2016 г.
This course is really helpful and very practical. Provides industry standard information and adheres to the scientific principles.
автор: Jorge L P d l T
•21 мая 2020 г.
Managing Data has be a passion for me, this course for sure, opened me new skills using the powerful features of the R language.
автор: Shashikesh M
•27 мая 2017 г.
This course is one another step forward towards my data science specialization. I'm really enjoying my study about data Science.
автор: Dimitrios G
•3 мар. 2017 г.
Challenging and very educational. Needs a better explanation on the final peer assignment. Otherwise a great overall experience!
автор: CAPO-CHICHI F N
•14 апр. 2020 г.
I am very happy to have done this course, I discovered something new and I have new skills in Data Analysis thank you very much
автор: 倪育飞
•15 окт. 2017 г.
It gave me an overview of how to getting and cleaning data.The course is best suited for anyone who is a novice in data science
автор: Massimo M
•9 авг. 2017 г.
Great course, everything is well explained ant the exercises are challenging enough to really understand what you are studying.
автор: Shelby B
•26 апр. 2017 г.
I am so glad this course was available. Otherwise, I would noy have had an opportunity to build a data set in my everyday work
автор: Brayan S O P
•19 апр. 2020 г.
It is an excellent course with all the basics and more that one needs to get started with the acquisition and cleaning of data
автор: Ajinkya D
•27 нояб. 2016 г.
Good course material. A very good project at the end of the course that gave an idea about cleaning a real life huge dataset
автор: KELVIN H
•25 мар. 2018 г.
good course for learning about tidy data. But have to say that the instructions for the coursework is not exactly very clear.