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Statistics for Genomic Data Science
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Statistics for Genomic Data Science

This course is part of Genomic Data Science.

Course Cost

Free course

Intermediate

Skill Level

7 Hours

Self-paced Video lessons

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

36,594 Enrolled

English

4.2

36,594 Enrolled

English

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

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Certificate
Certificate

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

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PROVIDED BY

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Top companies offer this course to their employees

Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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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

Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Genomic Data Science

Reviews

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Statistics for Genomic Data Science

Intermediate

Skill Level

7 Hours

Self-paced Video lessons

Course Cost

Free course

Completion

CERTIFICATE

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.