Chevron Left
Zurück zu Getting and Cleaning Data

Kursteilnehmer-Bewertung und -Feedback für Getting and Cleaning Data von Johns Hopkins University

4.6
Sterne
7,837 Bewertungen
1,280 Bewertungen

Über den Kurs

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....

Top-Bewertungen

HS
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.

BE
25. Okt. 2016

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.

Filtern nach:

276 - 300 von 1,243 Bewertungen für Getting and Cleaning Data

von Carlos M

2. Feb. 2016

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

von GAGAN G

14. Okt. 2020

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

von Tomas A M

22. Aug. 2017

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

von Dmytro I

15. Mai 2017

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

von sambit c

12. Okt. 2016

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

von Kseniia K

3. Mai 2016

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

von Wang J

1. Mai 2016

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

von leo n

8. Aug. 2019

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

von Jorge A B J

25. Juli 2019

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

von Puja G

6. Feb. 2018

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

von Stephen A

3. Okt. 2020

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

von Abay J

20. Jan. 2019

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

von Ajendra S

29. Aug. 2018

I really liked this course. This course helped me to understand the data wrangling.

von Tiago P F

3. Jan. 2018

Excellent course, with a very important focus on documentation and code versioning.

von jutzhang

26. Juni 2016

建议更新课程中所涉及函数的使用方法

Please update the using methods of some functions in this lecture.

von Andaru

12. Feb. 2016

90% of data science is cleaning, this really gets people accepting that key concept

von Luz M S G

29. Aug. 2020

It was an excellent course. It was challenging but I enjoyed it and learnt a lot.

von Vitalii S

20. Juli 2017

This course gave me an insights regarding data cleaning. Very grateful, thank you!

von Karthic C

17. Juli 2017

Well put together course. Happy and eager to finish the rest of the specialization

von Thor R

18. Jan. 2019

Useful, the course is as much an introduction to R- part 2 as about cleaning data

von Raunak S

5. Okt. 2018

excellent course to get started with to learn the basic concepts of data tidying.

von Sunder R V

27. Aug. 2017

Enjoyed the course and learnt quite a few things in my quest for "Data Analytics"

von Roberto D

21. Juni 2017

Very useful for deciding best methods pulling data and consistently massage data.

von Jairo A V G

25. Juni 2020

an excellent course that allowed me to expand my knowledge and learn new things.

von Premkumar S

27. Sep. 2018

Excellent course with some great exercises put together that are very practical.