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Our Courses
Data Science: R Basics
Build a foundation in R and learn how to wrangle, analyze, and visualize data.
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12
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English
Data Science: Visualization
Learn basic data visualization principles and how to apply them using ggplot2.
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Self Paced
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12
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English
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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12
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English
Data Science: Inference and Modeling
Learn inference and modeling, two of the most widely used statistical tools in data analysis.
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12
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English
Data Science: Wrangling
Learn to process and convert raw data into formats needed for analysis.
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24
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English
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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35
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English
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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25
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English
Data Science: Capstone
Show what you've learned from the Professional Certificate Program in Data Science.
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44
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English
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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Self Paced
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12
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English
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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12
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English
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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12
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English
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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12
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English
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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12
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English
High-Dimensional Data Analysis
A focus on several techniques that are widely used in the analysis of high-dimensional data.
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15
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English
Introduction to Bioconductor
The structure, annotation, normalization, and interpretation of genome scale assays.
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12
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English
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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36
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English
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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44
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English
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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30
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English
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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25
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English
Improving Global Health: Focusing on Quality and Safety
An introduction to the emerging field of global healthcare quality.
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Self Paced
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16
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English
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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18
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English
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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23
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English
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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Self Paced
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40
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English
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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Self Paced
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9
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English
Quantitative Methods for Biology
Learn introductory programming and data analysis in MATLAB, with applications to biology and medicine.
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24
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English