The Bioconductor course is technically sixth in the Genomic Data Science specialization, although I skipped directly to this after taking the third co… Read more

This is the first course in the new (at the time of this writing) Genomic Data Science specialization, offered by Johns Hopkins through Courser… Read more

This is the first course in the Data Science specialization, offered by Johns Hopkins through Coursera. The official schedule lists the time commitmen… Read more

This is the second course in the Data Science specialization, and it is the foundation course for the rest of the classes. Many reviewers online will … Read more

This is the third course in the Data Science specialization. The course is all about how to read data of different formats into R and how to create ti… Read more

This is the fourth course in the Data Science specialization. The course covers exploratory analyses in R, primarily making figures using the three mo… Read more

Statistical Inference is the sixth course in the Data Science specialization, and the first course in the analytical portion of the course (followed b… Read more

Regression Models is the seventh course in the Data Science specialization. As with Statistical Inference, it is taught by Brian Caffo and suffers fro… Read more

This is the first course in what was a new (at the time I took it) specialization covering data analysis using Python 3 or SAS. This first course mos… Read more

This course, offered by the Karolinska Institute, is a gentle introduction to the R language. I have to admit that I only watched a few of the videos.… Read more

(Note, I took this before the reorganization of the courses. I believe the material in the first two-three courses remains the same, so my comments s… Read more

(Note I took these prior to their reorganization/combination. Back then they were 4 one-week courses, of which I took three, so I will review those m… Read more

(Note that I took these before the recent reorganization. I believe portions of this course are now included in a different course in this sequence.)… Read more

(Note, these case studies seem to have been combined into one course recently).

This is the fourth and final case study and 8th and final… Read more

Reproducible Research is the fifth course in the Data Science specialization, and the last course in what could reasonably be considered the basic R i… Read more

I took the first offering of this, the second course in the Genomic Data Science specialization, and there are a number of issues that I hope the spec… Read more

This is the third course in the Genomic Data Science specialization. I have mixed feelings about this course. Much of the lecture material and the qui… Read more

(Note, I took these courses before the recent reorganization. I believe the material for the first few courses is the same, so my comments should sti… Read more

(Note I took these before the recent reorganization. I believe most of the material from the first few courses has remained relatively the same.)
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This is the first class in the new (at the time I took it) Python for Everybody specialization, which grew out of Dr. Charles Severence's popular cour… Read more

This is the first course in the new (at the time of this writing) Statistics with R specialization from Duke. This specialization comes out of the po… Read more

This is the final course before the capstone in the Data Science specialization from Johns Hopkins on Coursera. Overall this is one of the coolest co… Read more

This is the second-to-last course in the Data Science specialization from Johns Hopkins, and the final of three courses covering actual data analysis … Read more

dropped dropped dropped dropped dropped dropped dropped dropped dropped dropped dropped dropped dropped dropped dropped dropped dropped dropped droppe… Read more

This is the final course in the Genomic Data Science specialization from Johns Hopkins. This course covers some statistical techniques in genomics us… Read more