EdX

Introduction to Linear Models and Matrix Algebra (edX)

Offered by HarvardX, Harvard University,

Learn to use R programming to apply linear models to analyze data in life sciences. 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.

Class Deals by MOOC List - Click here and see EdX's Active Discounts, Deals, and Promo Codes.

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.

This course is part of the Data Analysis for Life Sciences XSeries.

These courses make up 2 XSeries and are self-paced:
Data Analysis for Life Sciences:
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
Genomics 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

What you'll learn:

Matrix algebra notation
Matrix algebra operations
Application of matrix algebra to data analysis
Linear models
Brief introduction to the QR decomposition

Go to Class

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Introduction to Bayesian Statistics Using R (edX)

EdX

University of Canterbury,UCx

Introduction to Bayesian Statistics Using R (edX)

Statistics & Data Analysis Data Science

Learn the fundamentals of Bayesian approach to data analysis, and practice answering real life questions using R. Basics of Bayesian Data Analysis Using R is part one of the Bayesian Data Analysis in R professional certificate. Bayesian approach is becoming increasingly popular in all fields of data analysis, including but not limited to epidemiology, ecology, economics, and political sciences. It also plays an increasingly important role in data mining and deep learning. Let this course be your first step into Bayesian statistics.

Self Paced

Self-Paced

Data Mining Data Analysis ANOVA

Analyzing and Visualizing Data with Power BI (edX)

EdX

Davidson College,DavidsonX

Analyzing and Visualizing Data with Power BI (edX)

Statistics & Data Analysis Computer Science

Step up your analytics game and learn one of the most in-demand job skills in the United States. Power BI is a robust business analytics and visualization tool from Microsoft that helps data professionals bring their data to life and tell more meaningful stores. This four-week course is a beginner's guide to working with data in Power BI and is perfect for professionals. You'll become confident in working with data, creating data visualizations, and preparing reports and dashboards.

Self Paced

Self-Paced

Data Analysis Data Visualization Power BI

Linear Algebra - Foundations to Frontiers (edX)

EdX

University of Texas at Austin,UTAustinX

Linear Algebra - Foundations to Frontiers (edX)

CS: Software Engineering Sci: Mathematics

Learn the mathematics behind linear algebra and link it to matrix software development. Linear Algebra: Foundations to Frontiers (LAFF) is packed full of challenging, rewarding material that is essential for mathematicians, engineers, scientists, and anyone working with large datasets.

Self Paced

Self-Paced

Math Algebra Linear Algebra

Storytelling and Persuading using Data and Digital Technologies (edX)

EdX

University of Maryland, College Park,University System of Maryland - USM,USMx,UMD

Storytelling and Persuading using Data and Digital Technologies (edX)

Statistics & Data Analysis

Learn how to gain traction for your digital transformation initiatives with stories based on data that use compelling data visualizations to build a persuasive business case. Decisions made by humans are rarely made by data alone. Human decision-makers have cognitive biases, are affected by emotions, and make conceptual leaps beyond what the data may suggest.

Self Paced

Self-Paced

Data Storytelling Data Analysis

Técnicas Cuantitativas y Cualitativas para la Investigación (edX)

EdX

Universitat Politècnica de València,UPValenciaX

Técnicas Cuantitativas y Cualitativas para la Investigación (edX)

Statistics & Data Analysis

El curso pretende acercar al alumno al método científico y, en concreto, cómo éste se aplica al estudio y análisis de los métodos de casos. El curso que se propone es ideal para investigadores y alumnos que se encuentren cursando trabajos de fin de grado, trabajos de fin de máster o realizando tesis, así como todos aquellos del área de la administración que quieran realizar un análisis cuantitativo o cualitativo en sus estudios.

Self Paced

Self-Paced

Research Methods Data Analysis Scientific Methods

EdX

HarvardX,Harvard University

Data Science: Capstone (edX)

Statistics & Data Analysis Data Science

Show what you’ve learned from the Professional Certificate Program in Data Science. To become an expert data scientist you need practice and experience. By completing this capstone project you will get an opportunity to apply the knowledge and skills in R data analysis that you have gained throughout the series. This final project will test your skills in data visualization, probability, inference and modeling, data wrangling, data organization, regression, and machine learning.

Self Paced

Self-Paced

Probability Machine Learning Regression

EdX

École Polytechnique Fédérale de Lausanne,EPFLx

Algèbre Linéaire (Partie 3) (edX)

Sci: Mathematics

Un MOOC francophone d'algèbre linéaire accessible à tous, enseigné de manière rigoureuse et ne nécessitant aucun prérequis. Vous voulez apprendre l'algèbre linéaire, un précieux outil complémentaire à vos connaissances acquises durant vos études en économie, ingénierie, physique, ou statistique? Ou simplement pour la beauté de la matière? Alors ce cours est fait pour vous!

Self Paced

Self-Paced

Math Linear Algebra Mathematics

EdX

École Polytechnique Fédérale de Lausanne,EPFLx

Algèbre Linéaire (Partie 2) (edX)

Engineering Sci: Mathematics

Self Paced

Self-Paced

Math Linear Algebra Algèbre Linéaire

EdX

HarvardX,Harvard University

High-Dimensional Data Analysis (edX)

Sci: Biology & Life Sciences Statistics & Data Analysis

A focus on several techniques that are widely used in the analysis of high-dimensional data. If you’re interested in data analysis and interpretation, then this is the data science course for you. We start by learning the mathematical definition of distance and use this to motivate the use of the singular value decomposition (SVD) for dimension reduction and multi-dimensional scaling and its connection to principle component analysis.

Self Paced

Self-Paced

Machine Learning Clustering Data Analysis

Introduction to Digital Humanities (edX)

EdX

HarvardX,Harvard University

Introduction to Digital Humanities (edX)

Humanities Computer Science

Develop skills in digital research and visualization techniques across subjects and fields within the humanities. This course will show you how to manage the many aspects of digital humanities research and scholarship. Whether you are a student or scholar, librarian or archivist, museum curator or public historian — or just plain curious — this course will help you bring your area of study or interest to new life using digital tools.

Self Paced

Self-Paced

Data Analysis Command Line Interface Digital Humanities

Basics of Statistical Inference and Modelling Using R (edX)

EdX

University of Canterbury,UCx

Basics of Statistical Inference and Modelling Using R (edX)

Sci: Mathematics Statistics & Data Analysis

Learn why a statistical method works, how to implement it using R and when to apply it and where to look if the particular statistical method is not applicable in the specific situation. Basics of Statistical Inference and Modelling Using R is part one of the Statistical Analysis in R professional certificate.

Self Paced

Self-Paced

Statistics Modeling Data Analysis

EdX

Babson College

Analytics for Decision Making (edX)

Management & Leadership Statistics & Data Analysis

Discover the foundational concepts that support modern data science and learn to analyze various data types and quality to make smart business decisions. Want to know how to avoid bad decisions with data? Making good decisions with data can give you a distinct competitive advantage in business. This statistics and data analysis course will help you understand the fundamental concepts of sound statistical thinking that can be applied in surprisingly wide contexts, sometimes even before there is any data! Key concepts like understanding variation, perceiving relative risk of alternative decisions, and pinpointing sources of variation will be highlighted.

Self Paced

Self-Paced

Data Analysis Decision Making Analytics