College: Harvard University
Certificate Price: $149
Length: 4 Weeks
Instructors: Rafael Irizarry, Michael Love

High-Dimensional Data Analysis

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 of high-dimensional data sets, and multi-dimensional scaling and its connection to principle component analysis. We will learn about the batch effect, the most challenging data analytical problem in genomics today, and describe how the techniques can be used to detect and adjust for batch effects. Specifically, we will describe the principal component analysis and factor analysis and demonstrate how these concepts are applied to data visualization and data analysis of high-throughput experimental data.

Finally, we give a brief introduction to machine learning and apply it to high-throughput, large-scale data. We describe the general idea behind clustering analysis and descript K-means and hierarchical clustering and demonstrate how these are used in genomics and describe prediction algorithms such as k-nearest neighbors along with the concepts of training sets, test sets, error rates and cross-validation.

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.

Similar Courses

Computing for Data Analysis

The modern data analysis pipeline involves collection, preprocessing, storage, analysis, and interactive visualization of data. The goal of this course, part of the Analytics: Essential Tools and Methods MicroMasters program,…

Computer Hardware and Operating Systems

This is a self-paced course that provides an Introduction to Computer Hardware and Operating Systems This course will cover topics including: Fundamentals of system hardware Introduction to OS concepts OS…
C Programming: Advanced Data Types

C Programming: Advanced Data Types

In this course, part of the C Programming with Linux Professional Certificate program, you will define your own data types in C, and use the newly created types to more…
Saving Schools

Saving Schools

This course seeks to answer the question: how did a school system, once the envy of the world, stumble so that the performance in math, science, and reading of U.S.…
The Quantum World

The Quantum World

Welcome to The Quantum World! This course is an introduction to quantum chemistry: the application of quantum theory to atoms, molecules, and materials. You’ll learn about wavefunctions, probability, special notations,…
China and Communism

China and Communism

How did the Communists conquer China? What role does culture play? What are the successes and failures of the Chinese Communist Party after seizing power in 1949? What constitutes liberation?…
Big Data and Education

Big Data and Education

Online and software-based learning tools have been used increasingly in education. This movement has resulted in an explosion of data, which can now be used to improve educational effectiveness and…
Lending

Lending, Crowdfunding, and Modern Investing

In this course, you’ll learn the foundational theories behind robo-advising, crowdfunding, and marketplace lending, and how to apply these theories to optimize your investments. Professor David Musto of the Wharton…