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Data Science: Visualization

Data Science: Visualization

Learn basic data visualization principles and how to apply them using ggplot2.

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Data Science: Probability

Data Science: Probability

Learn probability theory -- essential for a data scientist -- using a case study on the financial crisis of 2007-2008.

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Data Science: Inference and Modeling

Data Science: Inference and Modeling

Learn inference and modeling, two of the most widely used statistical tools in data analysis.

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Data Science: Wrangling

Data Science: Wrangling

Learn to process and convert raw data into formats needed for analysis.

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Data Science: Linear Regression

Data Science: Linear Regression

Learn how to use R to implement linear regression, one of the most common statistical modeling approaches in data science.

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Data Science: Machine Learning

Data Science: Machine Learning

Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.

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Data Science: Capstone

Data Science: Capstone

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

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United States Health Policy

United States Health Policy

Learn the essentials of U.S. health care policy from some of the nation's top experts.

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MalariaX: Defeating Malaria from the Genes to the Globe

MalariaX: Defeating Malaria from the Genes to the Globe

How can we eradicate malaria? Explore cutting-edge science and technology, and examine policies needed to control and eliminate malaria.

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Statistics and R

Statistics and R

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

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Introduction to Linear Models and Matrix Algebra

Introduction to Linear Models and Matrix Algebra

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

Statistical Inference and Modeling for High-throughput Experiments

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

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High-Dimensional Data Analysis

High-Dimensional Data Analysis

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

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Introduction to Bioconductor

Introduction to Bioconductor

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

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Case Studies in Functional Genomics

Case Studies in Functional Genomics

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

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Advanced Bioconductor

Advanced Bioconductor

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

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Using Python for Research

Using Python for Research

Take your introductory knowledge of Python programming to the next level and learn how to use Python 3 for your research.

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Principles, Statistical and Computational Tools for Reproducible Data Science

Principles, Statistical and Computational Tools for Reproducible Data Science

Learn skills and tools that support data science and reproducible research, to ensure you can trust your own research results, reproduce them yourself, and communicate them to others.

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Improving Global Health: Focusing on Quality and Safety

Improving Global Health: Focusing on Quality and Safety

An introduction to the emerging field of global healthcare quality.

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Practical Improvement Science in Health Care: A Roadmap for Getting Results

Practical Improvement Science in Health Care: A Roadmap for Getting Results

Learn the skills and tools of improvement science to make positive changes in health, healthcare, and your daily life.

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Lessons from Ebola: Preventing the Next Pandemic

Lessons from Ebola: Preventing the Next Pandemic

Understanding the context for the Ebola outbreak: What went right, what went wrong, and how we can all do better.

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Humanitarian Response to Conflict and Disaster

Humanitarian Response to Conflict and Disaster

Learn the principles guiding humanitarian response to modern emergencies, and the challenges faced in the field today.

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Causal Diagrams: Draw Your Assumptions Before Your Conclusions

Causal Diagrams: Draw Your Assumptions Before Your Conclusions

Learn simple graphical rules that allow you to use intuitive pictures to improve study design and data analysis for causal inference.

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Quantitative Methods for Biology

Quantitative Methods for Biology

Learn introductory programming and data analysis in MATLAB, with applications to biology and medicine.

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Building Personal Resilience: Managing Anxiety and Mental Health

Building Personal Resilience: Managing Anxiety and Mental Health

Join Harvard Medical School faculty Dr. Luana Marques to use applied psychology to build personal resilience with five science-driven skills.

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