Icahn School of Medicine at Mount Sinai
Big Data Science with the BD2K-LINCS Data Coordination and Integration Center
Icahn School of Medicine at Mount Sinai

Big Data Science with the BD2K-LINCS Data Coordination and Integration Center

Taught in English

Some content may not be translated

5,983 already enrolled

Course

Gain insight into a topic and learn the fundamentals

Avi Ma’ayan, PhD

Instructor: Avi Ma’ayan, PhD

4.8

(24 reviews)

Intermediate level
Some related experience required
9 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

2 quizzes

See how employees at top companies are mastering in-demand skills

Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

There are 14 modules in this course

This module provides an overview of the concept behind the LINCS program; and tutorials on how to get started with using the LINCS L1000 dataset.

What's included

8 videos2 readings1 discussion prompt

This module includes a broad high level description of the concepts behind metadata and ontologies and how these are applied to LINCS datasets.

What's included

2 videos

In this module we explain the concept of accessing data through an application programming interface (API).

What's included

2 videos1 discussion prompt

This module describes the important concept of a Bioinformatics pipeline.

What's included

1 video1 discussion prompt

This module describes a project that integrates many resources that contain knowledge about genes and proteins. The project is called the Harmonizome, and it is implemented as a web-server application available at: http://amp.pharm.mssm.edu/Harmonizome/

What's included

4 videos1 discussion prompt

This module describes the mathematical concepts behind data normalization.

What's included

2 videos1 discussion prompt

This module describes the mathematical concepts behind data clustering, or in other words unsupervised learning - the identification of patterns within data without considering the labels associated with the data.

What's included

3 videos1 discussion prompt

The Midterm Exam consists of 45 multiple choice questions which covers modules 1-7. Some of the questions may require you to perform some analysis with the methods you learned throughout the course on new datasets.

What's included

1 quiz

This module introduces the important concept of performing gene set enrichment analyses. Enrichment analysis is the process of querying gene sets from genomics and proteomics studies against annotated gene sets collected from prior biological knowledge.

What's included

3 videos

This module describes the mathematical concepts of supervised machine learning, the process of making predictions from examples that associate observations/features/attribute with one or more properties that we wish to learn/predict.

What's included

3 videos1 discussion prompt

This module discusses how Bioinformatics pipelines can be compared and evaluated.

What's included

2 videos1 discussion prompt

This module provides programming examples on how to get started with creating interactive web-based data visualization elements/figures.

What's included

4 videos1 discussion prompt

This final module describes opportunities to work on LINCS related projects that go beyond the course.

What's included

2 videos1 reading

The Final Exam consists of 60 multiple choice questions which covers all of the modules of the course. Some of the questions may require you to perform some analysis with the methods you learned throughout the course on new datasets.

What's included

1 quiz

Instructor

Instructor ratings
4.8 (5 ratings)
Avi Ma’ayan, PhD
Icahn School of Medicine at Mount Sinai
2 Courses25,399 learners

Offered by

Recommended if you're interested in Basic Science

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

Learner reviews

Showing 3 of 24

4.8

24 reviews

  • 5 stars

    80%

  • 4 stars

    20%

  • 3 stars

    0%

  • 2 stars

    0%

  • 1 star

    0%

MS
5

Reviewed on Jan 20, 2017

DA
5

Reviewed on Oct 24, 2022

JS
5

Reviewed on May 9, 2020

New to Basic Science? Start here.

Placeholder

Open new doors with Coursera Plus

Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions