Johns Hopkins University

Statistics for Genomic Data Science

Jeff Leek, PhD

Instructor: Jeff Leek, PhD

37,076 already enrolled

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Gain insight into a topic and learn the fundamentals.
4.2

(363 reviews)

9 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace
92%
Most learners liked this course
Gain insight into a topic and learn the fundamentals.
4.2

(363 reviews)

9 hours to complete
3 weeks at 3 hours a week
Flexible schedule
Learn at your own pace
92%
Most learners liked this course

Details to know

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Assessments

4 assignments

Taught in English

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Build your subject-matter expertise

This course is part of the Genomic Data Science Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 4 modules in this course

This course is structured to hit the key conceptual ideas of normalization, exploratory analysis, linear modeling, testing, and multiple testing that arise over and over in genomic studies.

What's included

21 videos3 readings1 assignment

This week we will cover preprocessing, linear modeling, and batch effects.

What's included

14 videos1 assignment

This week we will cover modeling non-continuous outcomes (like binary or count data), hypothesis testing, and multiple hypothesis testing.

What's included

15 videos1 assignment

In this week we will cover a lot of the general pipelines people use to analyze specific data types like RNA-seq, GWAS, ChIP-Seq, and DNA Methylation studies.

What's included

14 videos1 reading1 assignment

Instructor

Instructor ratings
4.7 (35 ratings)
Jeff Leek, PhD
Johns Hopkins University
32 Courses1,668,760 learners

Offered by

Recommended if you're interested in Probability and Statistics

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Learner reviews

4.2

363 reviews

  • 5 stars

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  • 3 stars

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  • 2 stars

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  • 1 star

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HD
5

Reviewed on Apr 8, 2021

CJ
5

Reviewed on Jul 15, 2019

RH
4

Reviewed on Feb 11, 2017

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