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

4.2
étoiles
182 évaluations
59 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

BB

Jul 02, 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!

MA

May 10, 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 - 57 sur 57 Avis pour Big Data, Genes, and Medicine

par Pranali S D

Sep 30, 2018

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

par Mike B

May 09, 2019

Lots of errors within the course made for irritating troubleshooting

par Ernesto P

Sep 28, 2017

Good material but it needs practice exercises

par pietra

Jul 12, 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

Mar 07, 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

Mar 19, 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 Emir H S

Dec 21, 2019

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