Set Reminder Save for later

Introduction to Linear Models and Matrix Algebra

Matrix Algebra underlies many of the current tools for experimental design and the analysis of high-dimensional data. In this introductory data analysis course, we will use matrix algebra to represent the linear models that commonly used to model differences between experimental units. We perform statistical inference on these differences. Throughout the course we will use the R programming language.

Given the diversity in educational background of our students we have divided the series into seven parts. You can take the entire series or individual courses that interest you. If you are a statistician you should consider skipping the first two or three courses, similarly, if you are biologists you should consider skipping some of the introductory biology lectures. Note that the statistics and programming aspects of the class ramp up in difficulty relatively quickly across the first three courses. By the third course will be teaching advanced statistical concepts such as hierarchical models and by the fourth advanced software engineering skills, such as parallel computing and reproducible research concepts.

These courses make up 2 XSeries and are self-paced:

PH525.1x: Statistics and R for the Life Sciences

PH525.2x: Introduction to Linear Models and Matrix Algebra

PH525.3x: Statistical Inference and Modeling for High-throughput Experiments

PH525.4x: High-Dimensional Data Analysis

PH525.5x: Introduction to Bioconductor: annotation and analysis of genomes and genomic assays

PH525.6x: High-performance computing for reproducible genomics

PH525.7x: Case studies in functional genomics

This class was supported in part by NIH grant R25GM114818.

 

Get Details and Enroll Now

OpenCourser is an affiliate partner of edX.

Get a Reminder

Not ready to enroll yet? We'll send you an email reminder for this course

Send to:

edX

&

Harvard University

Rating 4.5 based on 8 ratings
Length 4 weeks
Effort 2 - 4 hours per week
Starts Aug 14 (44 weeks ago)
Cost $49
From Harvard University, HarvardX via edX
Instructors Rafael Irizarry, Michael Love
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Science
Tags Data Analysis & Statistics Biology & Life Sciences Science

Get a Reminder

Get an email reminder about this course

Send to:

What people are saying

We analyzed reviews for this course to surface learners' thoughts about it

comments should still in one review

I believe the material for the first few courses is the same, so my comments should still be valid.)

still be valid in one review

first few courses in one review

took these courses in one review

(Note, I took these courses before the recent reorganization.

material for in one review

my comments in one review

Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile.

Hons Algebra and Hons Calculus Teacher $42k

Pre-Algebra Math Tutor $42k

College Algebra Tutor $55k

Anatomy & Physiology, Algebra Tutor $55k

Regional Instructor College Algebra Consultant $55k

Teach for America Algebra Teacher $59k

Adjunct Algebra Instructor $60k

Assistant Algebra teacher, Acclaim Program $65k

Algebra Workshop Instructor $66k

Algebra teacher, Acclaim Program $98k

Team Recruiter at MATRIX Lead $113k

Senior Recruiter at MATRIX $119k

Write a review

Your opinion matters. Tell us what you think.

edX

&

Harvard University

Rating 4.5 based on 8 ratings
Length 4 weeks
Effort 2 - 4 hours per week
Starts Aug 14 (44 weeks ago)
Cost $49
From Harvard University, HarvardX via edX
Instructors Rafael Irizarry, Michael Love
Download Videos On all desktop and mobile devices
Language English
Subjects Data Science Science
Tags Data Analysis & Statistics Biology & Life Sciences Science

Similar Courses

Sorted by relevance

Like this course?

Here's what to do next:

  • Save this course for later
  • Get more details from the course provider
  • Enroll in this course
Enroll Now