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Getting and Cleaning Data(으)로 돌아가기

존스홉킨스대학교의 Getting and Cleaning Data 학습자 리뷰 및 피드백

7,667개의 평가
1,243개의 리뷰

강좌 소개

Before you can work with data you have to get some. This course will cover the basic ways that data can be obtained. The course will cover obtaining data from the web, from APIs, from databases and from colleagues in various formats. It will also cover the basics of data cleaning and how to make data “tidy”. Tidy data dramatically speed downstream data analysis tasks. The course will also cover the components of a complete data set including raw data, processing instructions, codebooks, and processed data. The course will cover the basics needed for collecting, cleaning, and sharing data....

최상위 리뷰

2020년 5월 2일

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.

2016년 10월 25일

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.

필터링 기준:

Getting and Cleaning Data의 1,202개 리뷰 중 251~275

교육 기관: Gayathri N

2020년 5월 7일

Good course that helped to get the skill of reading and different ways to work with Data.

교육 기관: Сетдеков К Р

2018년 9월 27일

Helped a lot form my understanding of a good workflow for data collection and processing.

교육 기관: Lee W

2017년 10월 4일

Great course to introduce you to the various methods of loading and processing data in R.

교육 기관: Ryan H

2017년 9월 23일

I really enjoyed this course. The instructors were good and the assignment was enjoyable.

교육 기관: Alessandro P

2016년 2월 9일

Great course!

I think that cleaning the data in the right way is the key of data science.

교육 기관: Patrícia A F

2019년 4월 6일

Great Course for you to learn in more detail how data processing works in Data Science.

교육 기관: Rimi Z

2018년 6월 22일

A great course and you learn exactly what the title says . I found it fun to work on It

교육 기관: Tine M

2017년 11월 14일

Great course, I've learned a lot about analyzing data sets and creating tidy data sets.

교육 기관: Robert K

2017년 5월 1일

Fantastic! I find myself using the information I learned in the class on a daily basis.

교육 기관: Boris B

2016년 2월 6일

Great Course if want to know what data really is and how to handle it in the right way.

교육 기관: Maxim S

2020년 8월 26일

Thanks, this course was great. It gave me enough knowledge and motivation to go forth.

교육 기관: Alia E

2017년 2월 27일

Wasn't excited about it. But I've used and re-used the materials for work. Good stuff.

교육 기관: Tseliso I M

2017년 2월 2일

Of the courses I have done so far in the specialization, this was the most practical.

교육 기관: Carlos M

2016년 2월 2일

Very interesting material and basic knowledge on R to read files and produce tidy data

교육 기관: GAGAN G

2020년 10월 14일

Very nice courses in coursera and fundamental concept are very helping for us. Clear.

교육 기관: Tomas A M

2017년 8월 22일

Excellent course mates! Lots & lots of very useful info & examples! Thanks so much!!!

교육 기관: Dmytro I

2017년 5월 15일

It's a great course, however, explanations to the final assignment were rather vague.

교육 기관: Sambit C

2016년 10월 12일

A great course. Learned a lot. However student has to put an extra effort practicing.

교육 기관: Kseniia K

2016년 5월 3일

Great course, more difficult than previous two, but also more challenging and useful!

교육 기관: Wang J

2016년 5월 1일

Great practice for R programming and the MySQL part is extremely helpful for my work.

교육 기관: Leonardo A

2019년 8월 8일

This is the best course so far. Very challenging project at the end. I learned a lot

교육 기관: Jorge A B J

2019년 7월 25일

Very nice course! Would defensively recommend to anyone seeking this specialization!

교육 기관: Puja G

2018년 2월 6일

Very useful to get hands on experience in data science to solve real world problems!

교육 기관: Stephen A

2020년 10월 3일

This course gives all necessary foundations to kick start getting and cleaning data

교육 기관: Abay J

2019년 1월 20일

Love quizzes and a course project. Working on them develops you as a data scientist