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Big Data, Genes, and Medicine

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.

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Rating 4.1★ based on 59 ratings
Length 7 weeks
Effort 6 weeks of study, 3-5 hours per week
Starts Jun 26 (44 weeks ago)
Cost $49
From The State University of New York via Coursera
Instructor Isabelle Bichindaritz
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Science
Tags Computer Science Life Sciences Algorithms Bioinformatics Health Informatics

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What people are saying

big data

Excellent course for an introduction to Big data and bioscience.

:-) Excellent introduction to how to run genetic data analytic applications on a big data infraestructure.The theorical concepts related to data analytics were explained with highly professional quality; easy to understand for those with a data science backgroud.

The lessons are quite good, although I already got some preliminaries on bioinformatics and big data analysis.

I strongly believe when I will complete the course I will gain a remarkable skill on Big Data, Genes, and Medicine.

my ears are bleeding In my opinion it is a good intermediate level course that explains basics of genomics and transcriptomics Big Data analysis.

Very good for statistics information in regards to genes, medicine, and big data.

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so many

In some cases, way too much detail; in others, not nearly enough.The subtitles have so many errors that they are virtually useless.

In specific areas like content regarding cbioportal should be updated cause it differs from what is given in the actual site Very informative.. get to learn so many new things.

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.

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very good

Very good course for everyone new in the field of data science.

Very good short lectures guiding you step by step to relevant skills and counclusions.

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really enjoyed

I really enjoyed all the material, and am grew in confidence in analyzing big data from biomedical domains.

Apart form minor issues in the assessments, I really enjoyed this course as it was presented clearly and concise by professor Isabelle Bichindaritz I feel like I wanted to have practice with the material that was covered in the lecture GOOD course for starter!

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so much

Thank you so much!

thank you so much for providing this course The course is a nice overview of the field, but very VERY superficial in depth.

Thanks so much!

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genetic data

Great course, it was exactly what I was missing to help me progress in my work analyzing genetic data.

By studying the content, I gained in a short amount of time the new skills I needed to analyze genetic data.

well as

I do like how in depth this was so that you can get a real taste of how some of this analysis is performed as well as the fundamentals behind it.

But some content need to be updated as well as quiz answer.

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Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile.

Volunteer Big Data Engineer $48k

Data Scientist - Big Data $68k

Big Data and AWS Data Lake $73k

Big Data Developer (Streaming Data) $77k

Big data developer with AWS $78k

Research Scientist Big Data $94k

Big Data Developer Consultant $98k

Big Data Engineer 6 $107k

Big data and ETL specialist $121k

Big Data Specialist $149k

Principal Big Data Architect $180k

Senior Big Data Sales $181k

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Rating 4.1★ based on 59 ratings
Length 7 weeks
Effort 6 weeks of study, 3-5 hours per week
Starts Jun 26 (44 weeks ago)
Cost $49
From The State University of New York via Coursera
Instructor Isabelle Bichindaritz
Download Videos On all desktop and mobile devices
Language English
Subjects Programming Science
Tags Computer Science Life Sciences Algorithms Bioinformatics Health Informatics

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