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Statistics for Genomic Data Science

Master statistical methods for analyzing genomic data, including normalization, linear modeling, and multiple testing procedures.

Master statistical methods for analyzing genomic data, including normalization, linear modeling, and multiple testing procedures.

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Genomic Data Science Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

4.2

(359 ratings)

36,594 already enrolled

Instructors:

English

پښتو, বাংলা, اردو, 3 more

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Statistics for Genomic Data Science

This course includes

9 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

What you'll learn

  • Master statistical concepts for genomic data analysis

  • Implement data normalization and exploratory techniques

  • Apply linear modeling and hypothesis testing methods

  • Understand multiple testing procedures in genomics

  • Analyze specific data types like RNA-seq and GWAS

Skills you'll gain

Statistics
Data Analysis
R Programming
Biostatistics
Linear Modeling
Multiple Testing
Experimental Design
Exploratory Analysis
Normalization
Reproducible Research

This course includes:

6.4 Hours PreRecorded video

4 assignments

Access on Mobile, Tablet, Desktop

FullTime access

Shareable certificate

Get a Completion Certificate

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Certificate

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There are 4 modules in this course

This course introduces the statistical methods and tools essential for analyzing genomic data science projects. Students learn key concepts including normalization, exploratory analysis, linear modeling, testing, and multiple testing procedures. The curriculum covers practical applications in R programming for various genomic studies including RNA-seq, GWAS, ChIP-Seq, and DNA Methylation analysis. Through hands-on assignments, students gain experience in implementing statistical methods for real genomic data analysis.

Module 1

Module 1 · 3 Hours to complete

Module 2

Module 2 · 2 Hours to complete

Module 3

Module 3 · 1 Hours to complete

Module 4

Module 4 · 1 Hours to complete

Fee Structure

Instructor

Jeff Leek, PhD
Jeff Leek, PhD

4.7 rating

236 Reviews

16,66,593 Students

32 Courses

Chief Data Officer and J Orin Edson Foundation Chair at Fred Hutchinson Cancer Center

Dr. Jeff Leek serves as the Chief Data Officer, Vice President, and J Orin Edson Foundation Chair of Biostatistics in Public Health Sciences at the Fred Hutchinson Cancer Center. Previously, he was a professor of Biostatistics and Oncology at the Johns Hopkins Bloomberg School of Public Health and co-director of the Johns Hopkins Data Science Lab. He earned his PhD in Biostatistics from the University of Washington and is known for his significant contributions to genomic data analysis and statistical methods for personalized medicine. His research has advanced our understanding of molecular mechanisms related to brain development, stem cell self-renewal, and immune responses to trauma, with findings published in top scientific journals such as Nature and Proceedings of the National Academy of Sciences. Dr. Leek developed a highly acclaimed Data Analysis course for Biostatistics students at Johns Hopkins, which has consistently received teaching excellence awards. He is also recognized for his efforts in creating educational initiatives that leverage data science for public health and economic development, including massive open online courses that have engaged millions worldwide.

Statistics for Genomic Data Science

This course includes

9 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

Free course

Testimonials

Testimonials and success stories are a testament to the quality of this program and its impact on your career and learning journey. Be the first to help others make an informed decision by sharing your review of the course.

4.2 course rating

359 ratings

Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.