This course GitHub has been updated!!!!

You can find the new pages here: https://github.com/gwcbi/ResearchAnalytics

ResearchAnalyticsLabs

Welcome to the course! Here on GitHub you will find all the assignments (Problem Sets, Research Project ramp up, and Final Project) for the course as well as any data and/or links to software/data to be successful in the assignments. There are instructions for each assignment for each week. All assignments are due on Friday of the week of assignment. These dates are also listed below. You will get the most out of the homework and the course if you work on the problem sets/project assignments BEFORE the live session each week and bring your questions to the live session. Good luck with the course and have fun with Research Analytics!

Sincerely,

Professor Crandall

Timeline

Deadline	Assignment	Project Checkpoint	Due Date
Week 1	Problem Set 1		13JAN2023
Week 2	Problem Set 2		20JAN2023
Week 3	Problem Set 3		27JAN2023
Week 4	Problem Set 4		03FEB2023
Week 5	Problem Set 5		10FEB2023
Week 6	Problem Set 6		17FEB2023
Week 7	Problem Set 7	Pt. 1: Abstract	24FEB2023
Week 8	Problem Set 8	Pt. 2: Outline	03MAR2023
Week 9	Problem Set 9		10MAR2023
Week 10	Problem Set 10		17MAR2023
Week 11	Pt. 3: Poster		22MAR2023

Additional Readings

For some sessions (2, 3, 4, 7 & 8) there are reading assignments that are not from the course book. These reading assignments can be found under the Readings folder as downloadable pdf files.

Problem Sets

To download PDFs or data files onto your computer, use the button in the top-right of the PDF/data preview window that is labeled "Raw" or "Download". If you are trying to download the data files from the links inside the assignments, you may need to use the File > Save as... option within your browser to download the file onto your computer.

Problem Set 1: Starting off slow [pdf] (Due Week 1)

Problem Set 2: Introduction to R [pdf] (Due Week 2)

Problem Set 3: Data Warehouses [pdf] (Due Week 3)

Problem Set 4: Data Standards & Ontologies [pdf] (Due Week 4)

Problem Set 5: Basic Statistics [pdf] [Data file] (Due Week 5)

Problem Set 6: Databases [pdf] (Due Week 6)

Problem Set 7: Introduction to Genomics [pdf] (Due Week 7)

Problem Set 8: Bioinformatics [pdf] [Data file] (Due Week 8)

Problem Set 9: Descriptive Models [pdf] [Data file 1] [Data file 2] (Due Week 9)

Problem Set 10: Predictive Models [pdf] [Data file] (Due Week 10)