yantangyantang/datasci611

Materials for Principles of Data Science BIOS 611

Welcome to UNC BIOS 611

Introduction to Data Science

This repository contains course materials for BIOS 611 (Introduction to Data Science) typically taught during the Fall Semester at UNC Chapel Hill in the Department of Biostatistics.

The intent of the course is to provide an intensive introduction to the technical material and skills that a data scientist needs in order to do repeatable, reliable research.

It covers basic linux tools like bash and make, Docker, git (extensively) and serves as an introduction to R and Python including how one goes about organizing a research project and an R or Python library.

Along the way we will become informally familiar with some analytical techniques: classification, regression and clustering. The emphasis here is practical: how to use the methods while avoiding common pitfalls.

Course Syllabus and Schedule

Class is at 3:35 pm - 4:50 pm on MW. There is a lab session from 2:00 pm to 3:00 pm on Tuesdays.

Class is held in: McGavran-Greenberg PH-Rm 2308 Lab is held in: McGavran-Greenberg PH-Rm 2308

Date	Course Title	Material	Homework
Mon 08/18/20201	Introduction	1,2	hw1 due: Wed 08/25/2021
Mon 08/23/2021	Compute Resources	1,2,3	hw2 due: Mon 08/30/2021
Wed 08/25/2021	Unix	1,2,3	hw3 due: Wed 09/08/2021
Mon 08/30/2021	Docker	1,2,3,4	hw4 due: Wed 09/15/2021
Wed 09/01/2021	git basics & github basics	1,2,3,4	hw5 due: Mon 09/20/2021
Mon 09/06/2020	Labor Day 🍞🌹	1,2
Wed 09/08/2021	How to Think about Programming & R	1,2	hw6 due: Wed 09/27/2021
Mon 09/13/2021	More R	1,2
Wed 09/15/2021	Tidyverse for Tidying & GGPlot	1,2,3,4,56
Mon 09/20/2021	Make and Makefiles	12
Wed 09/22/2021	git concepts and practices	123
Mon 09/27/2021	Project Organization	123
Wed 09/29/2021	~~~~
Mon 10/04/2021	Dimensionality Reduction	1234	hw7 due: Mon 10/11/2021
Wed 10/06/2021	Clustering	1234	hw8 due: Wed 10/13/2021
Mon 10/11/2021	Classification	1234567	hw9 due: Mon 10/18/2021
Wed 10/13/2021	Model Validation and Selection	12
Mon 10/18/2021	Publishing Results
Wed 10/20/2021	Shiny
Mon 10/25/2021	Docker Recap and Shiny
Wed 10/27/2021	Introduction to Scientific Python
Mon 11/01/2021	SQL (and pandas, dplyr)	1
Wed 11/03/2021	SKLearn Introduction
Mon 11/08/2021	Training Neural Networks
Wed 11/10/2021	Bokeh
Mon 11/15/2021	Browser Based Visualization w/ d3
Wed 11/17/2021	Data Science Ethics
Mon 11/22/2021	Panel Discussion
Wed 11/24/2021	Thanksgiving 🦃
Mon 11/29/2021	Feedback Day
Wed 12/01/2021	Class Presentations I
---	Class Presentations II		---

There is also a lab held every Tuesday. This will be generally unstructured time where you will be able to work on projects and ask me questions. Sometimes we will use this time to cover material.

Working With This Stuff

I provide a Docker container which you can use to hack on these lectures and the associated materials. Some lectures may have their own Docker container. But to work on most of them:

./start-env.sh

This will start an RStudio Instance.

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