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Отзывы учащихся о курсе Introduction to Clinical Data Science от партнера Система университетов штата Колорадо

Оценки: 257
Рецензии: 78

О курсе

This course will prepare you to complete all parts of the Clinical Data Science Specialization. In this course you will learn how clinical data are generated, the format of these data, and the ethical and legal restrictions on these data. You will also learn enough SQL and R programming skills to be able to complete the entire Specialization - even if you are a beginner programmer. While you are taking this course you will have access to an actual clinical data set and a free, online computational environment for data science hosted by our Industry Partner Google Cloud. At the end of this course you will be prepared to embark on your clinical data science education journey, learning how to take data created by the healthcare system and improve the health of tomorrow's patients....

Лучшие рецензии

28 окт. 2019 г.

Very nice overview of a very complex topic. Somewhat superficial in some areas, but this is an introduction class and covered everything to an acceptable degree. A very intimidating topic.

23 мая 2020 г.

Nice bite sized pieces, with relevant application to querying hospital database using (pre-requisite knowledge) of SQL and R-prog. Definitely useful for my speciality and line of work.

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51–75 из 77 отзывов о курсе Introduction to Clinical Data Science

автор: Mor K

22 июля 2019 г.

A nice introduction!

автор: Hyun J K

14 окт. 2019 г.

It's a good course.

автор: Mantu S

26 мар. 2020 г.

I like the course.

автор: Pothala R

27 июня 2019 г.

Nice course

автор: Yannick B

7 февр. 2020 г.

Loved it

автор: Kyle E B

27 нояб. 2019 г.

This course is a great intro to Clinical Data Science. I found some spelling/grammatical errors in the readings/quizzes. Also, I struggled a bit with some of the answers/writing the correct code; in these rare instances, I would look at the hint after and have no idea how I was supposed to know that. For example, I was having trouble mutating a column, and it turns out I was supposed to use the collect() function before mutation(). I don't mind googling and figuring things out on my own; in fact, it is a critical skill for an analyst, but in an educational format, I wish they had brought up these functions in the reading.

автор: Zhefan H

19 нояб. 2020 г.

There's something you should know before starting the course:

It is a very good entry-level resource if you want to have a basic understanding of the clinical systems and data sources. If you have no experience in SQL, it will give you good instruction to understand some basic queries.

However, this course requires you to have a foundation in R programming and will not provide much guidance to it. It will be kind of hard to do the tests without some basics.

Make good use of the sample data this course provides!

автор: Valerie D M

4 февр. 2019 г.

Overall very good. The instructor was clear and lectures were great. The introduction to R and Tidyverse was a little challenging in a reading format...if I had not had experience programming in SAS (limited albeit), I probably wouldn't have made it through the 4th module without additional resources. This is a lot of information and overall it was well organized, I'm really not sure how I would present it any differently.

автор: sunay m

22 окт. 2020 г.

A good start to fundamentals of clinical data science. It lays the foundation for more advanced topics. The MIMIC3 data is an excellent example of real life like health data. The quiz assignments are of very good standard. You will need to work out thoroughly to pass them.

автор: Robert W S

4 апр. 2019 г.

Some material is inconsistent between the lectures and quizzes. Syntax of BigQuery does allow distinct queries, which was stated otherwise in the course material. Overall the content was good and was a nice introduction to the MIMICIII dataset.

автор: Vu T T T

14 сент. 2019 г.

A good introduction to clinical data science course and useful for those who wants to tap into the field. However, prior knowledge of R is required as some concepts/functions are not fully explained in the course.

автор: Arens J R M

11 окт. 2019 г.

I really enjoyed everything in this class, I really loved it. It was an accumulation of new skills all along, almost everything was new to me: Google BigQuery, SQL, R language etc. Thank you for this opportunity!

автор: Kaung M W Y

16 нояб. 2020 г.

The course is great overall. But when it comes to teaching SQL and R, there is too much to learn with just a few explanation. It is not easy for those who do not have background knowledge on those.

автор: Austin L

19 мар. 2020 г.

This was a good general overview however there should have been more of a practice task based system when it came to the coding or make the coding a different segment altogether

автор: VIJAYA G

18 февр. 2019 г.

I found Rstudio very confusing as there was no proper introduction or hands on example. Took a great deal in going through the links and addressing.

автор: Kathleen M

19 сент. 2020 г.

Weeks 1-3 were great. Nicely structured and easy to understand.W eek 4 seems a bit packed with lots of information. Enjoyed learning the course

автор: Jonas

14 сент. 2020 г.

first week was very USA centeric. even though similar principles apply in other countries.

автор: Zsolt

28 дек. 2019 г.

Good intro to the field, but should spend more time and provide further reference to R.

автор: Kristopher N

1 апр. 2019 г.

Good introduction to see if you want to progress through the rest of the program

автор: Edward T

17 нояб. 2020 г.

excellent course, but couldn't connect to online datasets to run queries

автор: Ehsan E

27 окт. 2020 г.

Solid and interactive introduction to SQL and basic R-SQL interactions.

автор: Foo Y Y

18 нояб. 2020 г.

It would be clearer if some programming examples can be shown in video

автор: Adam R

16 июля 2019 г.

Good short introductory course. Clearly taught and scheduled.

автор: David A G E

16 сент. 2020 г.

Excellent for beginners

автор: Naveen B

12 дек. 2019 г.

The most disappointing part was actually the one supposed to be the most important thing i.e. Week 4. More basic training should have been given about how and when to use R for data science application, What is the point of training course, when we ourselves have to figure out how to code with the help of one-page documentation (which did not have an organized structure)