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1-19 of 19 results


Case Studies in Functional Genomics

from edX (Free)

Explore data analysis of several experimental protocols, using open source software, including R and Bioconductor.

Data Analysis for Life Sciences 1: Statistics and R

from edX (Free)

An introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences.

Data Analysis for Life Sciences 2: Introduction to Linear Models and Matrix Algebra

from edX (Free)

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

Data Analysis for Life Sciences 3: Statistical Inference and Modeling for High-throughput Experiments

from edX (Free)

A focus on the techniques commonly used to perform statistical inference on high throughput data

Data Analysis for Life Sciences 4: High-Dimensional Data Analysis

from edX (Free)

A focus on several techniques that are widely used in the analysis of high-dimensional data. 

 

Data Analysis for Life Sciences 5: Introduction to Bioconductor: Annotation and Analysis of Genomes and Genomic Assays

from edX (Free)

The structure, annotation, normalization, and interpretation of genome scale assays.

Fundamentals of Clinical Trials

from edX (Free)

Clinical trials play a pivotal role in evidence-based medicine. This course will discuss the design, conduct, analysis, and interpretation of Phase I-IV clinical studies.

Health in Numbers: Quantitative Methods in Clinical & Public Health Research

from edX (Free)

PH207x is the online adaptation of material from the Harvard School of Public Health's classes in epidemiology and biostatistics.

High-Dimensional Data Analysis

from edX (Free)

A focus on several techniques that are widely used in the analysis of high-dimensional data.

High-performance Computing for Reproducible Genomics

from edX (Free)

Learn how to bridge from diverse genomic assay and annotation structures to data analysis and research presentations via innovative approaches to computing.

Introduction to Bioconductor: Annotation and Analysis of Genomes and Genomic Assays

from edX (Free)

The structure, annotation, normalization, and interpretation of genome scale assays.

Introduction to Linear Models and Matrix Algebra

from edX (Free)

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

Statistical Inference and Modeling for High-throughput Experiments

from edX (Free)

A focus on the techniques commonly used to perform statistical inference on high throughput data.

Statistics and R

from edX (Free)

An introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences.

This is CS50 2011.

from iTunes U (Free)

Introduction to the intellectual enterprises of computer science and the art of programming. This course teaches students how to think algorithmically and solve problems...

This is CS50 2012.

from iTunes U (Free)

Introduction to the intellectual enterprises of computer science and the art of programming. This course teaches students how to think algorithmically and solve problems...

This is CS50 2013.

from iTunes U (Free)

Introduction to the intellectual enterprises of computer science and the art of programming. This course teaches students how to think algorithmically and solve problems...

This is CS50 2014.

from iTunes U (Free)

Introduction to the intellectual enterprises of computer science and the art of programming. This course teaches students how to think algorithmically and solve problems...

This is CS50 2015.

from iTunes U (Free)

"Demanding, but definitely doable. Social, but educational. A focused topic, but broadly applicable skills. CS50 is the quintessential Harvard (and Yale!) course." ...