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Avis et commentaires pour d'étudiants pour Big Data, Genes, and Medicine par Université d'État de New York

235 évaluations
76 avis

À propos du cours

This course distills for you expert knowledge and skills mastered by professionals in Health Big Data Science and Bioinformatics. You will learn exciting facts about the human body biology and chemistry, genetics, and medicine that will be intertwined with the science of Big Data and skills to harness the avalanche of data openly available at your fingertips and which we are just starting to make sense of. We’ll investigate the different steps required to master Big Data analytics on real datasets, including Next Generation Sequencing data, in a healthcare and biological context, from preparing data for analysis to completing the analysis, interpreting the results, visualizing them, and sharing the results. Needless to say, when you master these high-demand skills, you will be well positioned to apply for or move to positions in biomedical data analytics and bioinformatics. No matter what your skill levels are in biomedical or technical areas, you will gain highly valuable new or sharpened skills that will make you stand-out as a professional and want to dive even deeper in biomedical Big Data. It is my hope that this course will spark your interest in the vast possibilities offered by publicly available Big Data to better understand, prevent, and treat diseases....

Meilleurs avis

1 juil. 2020

Very practical and easy to follow. The quizzes definitely help you retain the knowledge from the lectures. The hands-on with Jupyter Notebook was my favourite part of this course! Thank you!

9 mai 2019

Really enjoying the way she is teaching. Very easy to learn and practice. I strongly believe when I will complete the course I will gain a remarkable skill on Big Data, Genes, and Medicine.

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51 - 75 sur 75 Avis pour Big Data, Genes, and Medicine

par Amanda W

12 juin 2020

Very good for statistics information in regards to genes, medicine, and big data. I wish they would have spent more time on the R code and how to create it, but otherwise was a really good course.

par Jaime P

21 avr. 2020

Muy buen curso introductorio, incluye un uso muy sencillo de programación con R, lo cual está muy bien para centrarse en aprender los algoritmos de análisis pero no para aprender R.

par Mahdi Z

9 sept. 2021

the mahcine learning parts were good, though a bit more practical exercises could have improved it.

but the Genetic parts were taught far too vague in my opinion,

Thank all of you :)

par Sulagna B

23 juin 2020

The course is more of an intermediate course than an advanced one, but a great starting point from where you can find your own interests and develop further on that.

par Vasco S O L C

28 août 2018

Apart form minor issues in the assessments, I really enjoyed this course as it was presented clearly and concise by professor Isabelle Bichindaritz

par Sanjan D

23 déc. 2019

Great range of content covered! Some videos on cBioPortal are best updated since the website has changed!

par Diego

12 sept. 2020

Me gustó mucho el curso y, la parte practica que es muy importante, es sencilla de entender y realizar

par Razda K

6 juil. 2020

Very informative.. get to learn so many new things. Thank you for sharing the knowledge..!!

par Antonenko E

16 juin 2018

I feel like I wanted to have practice with the material that was covered in the lecture


24 mai 2020

The course was good to know about bioinformatics and how this can be used. Thank You

par Harini S

25 août 2020

This course gives me a idea about my project.very informative course.thank you

par Peter S

4 janv. 2017

A great introduction to the topic. It will leave you wanting to learn more.

par Luis P d C H

7 oct. 2017

Excellent course for an introduction to Big data and bioscience.

par Jewelrose J

7 sept. 2020

Informative session

par Justin M

6 mai 2020

The course is a nice overview of the field, but very VERY superficial in depth. Also, it's quite annoying to have so many quizzes and questions that are outdated and virtually un-answerable due to changes in the external website services referenced in the exams. Overall, it was a reasonable course and I was able to power through it in a couple days. Probably not work taking unless you're already familiar with Data Science and just looking for a brief overview.

par Nicholas Y

25 nov. 2019

In my opinion it is a good intermediate level course that explains basics of genomics and transcriptomics Big Data analysis. The only issues with this course are concerning unupdated question list which does not correlate with cBio-Portal data or it's new framework, quite easy R tasks, would have like to see more intricate objectives and questions.

par Carlos A

17 mars 2020

Is a good introduction for some subjects, but the practices on the data processing and the R use is merely plane.

par pranali d

30 sept. 2018

I happy with the technical content of the course however there are numerous technical glitches .

par Mike B

9 mai 2019

Lots of errors within the course made for irritating troubleshooting

par Ernesto P

28 sept. 2017

Good material but it needs practice exercises

par Pietra D

12 juil. 2017

The course is boring and very difficult to follow because of the language accent of the teacher and the dept of the content.

par Marcos P

7 mars 2017

Difficult to understand due to her very strong accent and poor audio, meaning I spend 90% of my effort trying to make out what she's saying. As it turns out, all she does is read from the slides! no additional insight, nothing. This makes it boring to hear and she comes across with no personality (although a quick rate-my-professors search tells us a very different story, a real shame since people seem to really like her). At any rate after one week of this course and not seeing any improvement, I've decided to call it quits.

par Andyk

19 mars 2017

Poorly organized course. The lectures seemed to jump around from one point to another. In some cases, way too much detail; in others, not nearly enough.

The subtitles have so many errors that they are virtually useless.

par Joe R

17 août 2021

Course materials are outdated and I can't really say I learned anything from this course, felt like I was just going through the motions to produce answers rather than actually learning anything useful.

par Emir H S

21 déc. 2019

sorry but i cant understand the professor. my ears are bleeding