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

7,752 Bewertungen
1,264 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....


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.

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.

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176 - 200 von 1,223 Bewertungen für Getting and Cleaning Data

von Shashikesh M

27. Mai 2017

This course is one another step forward towards my data science specialization. I'm really enjoying my study about data Science.

von Dimitrios G

3. März 2017

Challenging and very educational. Needs a better explanation on the final peer assignment. Otherwise a great overall experience!


14. Apr. 2020

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

von 倪育飞

15. Okt. 2017

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

von Massimo M

9. Aug. 2017

Great course, everything is well explained ant the exercises are challenging enough to really understand what you are studying.

von Shelby B

26. Apr. 2017

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

von Brayan S O P

19. Apr. 2020

It is an excellent course with all the basics and more that one needs to get started with the acquisition and cleaning of data

von Ajinkya D

27. Nov. 2016

Good course material. A very good project at the end of the course that gave an idea about cleaning a real life huge dataset

von Kelvin H

25. März 2018

good course for learning about tidy data. But have to say that the instructions for the coursework is not exactly very clear.

von Igor T

8. Jan. 2017

Really great course which helps to understand basics of data tidying. I've also enjoyed regex explanation, it's really clear!

von Victor A d S P

12. Dez. 2019

Great course, some background needed. If you are taking the Data Science specialization program, then this is a great catch.

von William H

5. Aug. 2019

Thank you for the case study, very valuable to me to see how you downloaded all the data and began your exploratory analysis

von Bill S

25. Mai 2017

I greatly enjoyed this course and I really got a lot of hands-on practice that I can apply in a real-world work environment.

von Jim M

26. Apr. 2020

The content is very important when working with Big Data, yet I think JHU is unique in the importance paid to the concepts.

von Sebastian O V

6. Aug. 2018

Great course teaches intermediate and andvanced skills to manipullate and clean data. Begginers should make an extra effort

von James L J J

26. Dez. 2019

The Value of the course is in the course projects. I found that working through them really accelerated the understanding.

von Xun Y

10. Juli 2017

Great course, providing very useful information. It might be better to provide few examples for codebook and readme files.

von João A P B

25. Feb. 2017

Amazing course! Even after a few years using R in a daily basis, I still learned quite a bit of new / useful information.

von David R

3. Sep. 2018

Great course covering a wide range of data types likely to be encountered in the field of data science. Well explained.

von Anne M

10. Jan. 2016

Really great class. I found the lectures easy to follow. The quizzes and homework helped me master the course material.

von Andrés H V

28. Juni 2020

I believe it was a very good course ,challenging and interesting. As a beginner in Data Science and R I learned a lot.

von Cathryn S

2. Jan. 2017

A good course, which helped me understand how to get data off the web and from other sources, and improved my R skills

von Nelson S S

10. Nov. 2020

Excelente Curso.

Muchas gracias por compartir sus conocimientos y el gran aporte que hacen en éstas épocas de pandemia


26. Feb. 2017

This course is very interesting, useful and practical

I appreciate for all of efforts of my professors in this course

von Pitchayen S

14. Feb. 2017

Very fundamental things that all data scientist must learn. You will know how useful of data.table and dplyr package.