I first
mentioned Coursera about a year ago, when I hired a new analyst in my core. This new hire came in as a very competent Python programmer with a molecular biology and microbial ecology background, but with very little experience in statistics. I got him to take
Roger Peng's Computing for Data Analysis course and
Jeff Leek's Data Analysis course, and four weeks later he was happily doing statistical analysis in R for gene expression experiments for several of our clients.
Today, Coursera announced
Specializations - sequences of courses offered by the same institution, with the option of earning a specialization certificate from the University teaching the courses upon successful completion.
Among others, several specializations that look particularly interesting are:
Johns Hopkins University's Data Science Specialization
This course, one of the longer specializations, is taught by Brian Caffo, Roger Peng, and Jeff Leek at Johns Hopkins. The courses in the specialization include:
The Data Scientist’s Toolbox
R Programming
Getting and Cleaning Data
Exploratory Data Analysis
Reproducible Research
Statistical Inference
Regression Models
Practical Machine Learning
Developing Data Products
A final Capstone Project
Systems Biology (Icahn School of Medicine at Mount Sainai)
Courses include:
Introduction to Systems Biology
Network Analysis in Systems Biology
Dynamical Modeling Methods for Systems Biology
Integrated Analysis in Systems Biology
A final Capstone Project
Fundamentals of Computing (Rice University)
Courses include:
An Introduction to Interactive Programming in Python
Principles of Computing
Algorithmic Thinking
A final Capstone Project
Check out the
Coursera Specializations page for other Coursera series.
No comments:
Post a Comment
Note: Only a member of this blog may post a comment.