Chevron Left
Вернуться к Introduction to Clinical Data Science

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

4.6
звезд
Оценки: 315
Рецензии: 92

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

AS
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.

RR
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.

Фильтр по:

76–91 из 91 отзывов о курсе Introduction to Clinical Data Science

автор: Matthew K

13 дек. 2020 г.

A good overview of Clinical Data Science. The reading material covering SQL and R coding was cumbersome, difficult to follow, and did not contain any lectures.

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: Jonathan H

3 июня 2021 г.

Alright course as introduction to clinical data science. Still a lot information. Could be better by having more practice exercises with programming.

автор: Jean P

7 янв. 2022 г.

More practice is needed

автор: Conor M

9 февр. 2020 г.

Very frustrating assessments, especially on bigquery assignments where I needed to format the code to match what was wanted by Coursera from running code on bigquery. It's really unfortunate that Clinicial Data Science Community is invested in R and not Python.

автор: andy m

14 дек. 2019 г.

Link the forum to the section we're on so it decreases the barrier of entry to solving problems. This is not a problem with the course this is a problem with Coursera not developing an intuitive interface that allows users to quickly learn.

автор: Chris B

28 дек. 2021 г.

I​ cannot access the database on google big query as it no longer exist in the new window format. Total waste of time taking this course as I cannot go forward anymore