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CS50 for Lawyers

CS50 for lawyers.

This course is a variant of Harvard University's introduction to computer science, CS50, designed especially for lawyers (and law students).

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Advanced Bioconductor

Speed discovery and interpretation

Learn advanced approaches to genomic visualization, reproducible analysis, data architecture, and exploration of cloud-scale consortium-generated genomic data.

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Introduction to Bioconductor

Introduction to the relevant biology and measurement technologies

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

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Case Studies in Functional Genomics

Perform the standard processing and normalization steps

Perform RNA-Seq, ChIP-Seq, and DNA methylation data analyses, using open source software, including R and Bioconductor.

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High-Dimensional Data Analysis

If you’re interested in data analysis and interpretation, then this is the data science course for you.

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

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Introduction to Linear Models and Matrix Algebra

Perform matrix operations

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

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Statistical Inference and Modeling for High-throughput Experiments

Learn various statistics topics

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

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Statistics and R

R programming language in the context of statistical data and statistical analysis

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

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Data Science: Capstone

To become an expert you need practice and experience.

Show what you’ve learned from the Professional Certificate Program in Data Science.

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