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Statistical Analysis for High-throughput Data
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Statistical Analysis for High-throughput Data

This course is part of Data Analysis for Life Sciences.

Course Cost

₹ 19,023

Intermediate

Skill Level

4 Weeks

Self-paced lessons

Dive into statistical analysis techniques for high-throughput experiments in this comprehensive course from Harvard. Learn essential concepts including multiple testing, error rates, false discovery rates, and statistical modeling. Master practical applications in next-generation sequencing and microarray data analysis using R programming. The course covers parametric distributions, maximum likelihood estimation, hierarchical models, and empirical Bayes methods with hands-on implementation.

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4

65,017 Enrolled

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English

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olive-leaves-logo

4

65,017 Enrolled

olive-leaves-logo

English

What you'll learn

  • Master multiple testing procedures and error rate control

  • Understand false discovery rates and q-values

  • Apply statistical modeling to high-throughput data

  • Implement hierarchical models and Bayesian statistics

  • Perform exploratory data analysis for large datasets

  • Use R programming for statistical analysis implementation

Skills you'll gain

Statistical Inference
R Programming
Data Analysis
Bioinformatics
Multiple Testing
Error Rate Analysis
Statistical Modeling
Bayesian Statistics
High-throughput Data
Exploratory Analysis

This course includes:

PreRecorded video

Graded assignments, exams

Access on Mobile, Tablet, Desktop

Limited Access access

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Module Description

This comprehensive course focuses on statistical techniques for analyzing high-throughput experimental data. Students learn about multiple testing problems, error rate control procedures, and false discovery rates. The curriculum covers statistical modeling techniques, including parametric distributions and maximum likelihood estimation, with applications in next-generation sequencing and microarray analysis. Advanced topics include hierarchical models and empirical Bayes methods, all implemented through R programming examples to bridge theory and practice.

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: Data Analysis for Life Sciences

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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.

Statistical Analysis for High-throughput Data

Intermediate

Skill Level

4 Weeks

Self-paced lessons

Course Cost

₹ 19,023

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.