Workshop Materials

Contents
HBS Compute Grid Training
Research Data Management at HBS

Introduction to R
R Graphics with ggplot2
Regression Models in R
Basic R Programming and Analysis

Introduction/Data Management in Stata
Regression and Graphing in Stata

Introduction to Python
Introduction to Web Scraping with Python
Using APIs with Python

Introduction to Unix
Version Control with Git/GitKraken
Introduction to Structure Data, Databases, and SQL
Multiple Approaches to Merging Data: SQL & Interfacing with other Applications (DataFest)

Brown Bag: Amping Up Your Research with the (Compute) Grid
Brown Bag: Managing and Effective Use of Data in Databases
Lunch & Learn: Your Unix Cheat Sheet
Lunch & Learn: How much RAM? How many CPUs?
Lunch & Learn: Parallel Processing

HBS Compute Grid Training

  • PDF of slide deck

Research Data Management at HBS

  • PDF of slide deck
  • PDF of Data Management Checklist
  • PDF of Data Services at HBS

Introduction to R

R Graphics with ggplot2

Regression Models in R

Basic R Programming and Analysis

Introduction/Data Management in Stata

Regression and Graphing in Stata

Introduction to Python

Introduction to Web Scraping with Python

Using APIs with Python

Introduction to Unix

Version Control with Git/GitKraken

Introduction to Structure Data, Databases, and SQL

Multiple Approaches to Merging Data: SQL & Interfacing with other Applications (DataFest)

Brown Bag: Amping Up Your Research with the (Compute) Grid

  • PDF of slide deck

Brown Bag: Managing and Effective Use of Data in Databases

  • PDF of slide deck

Lunch & Learn: Your Unix Cheat Sheet

Lunch & Learn: How much RAM? How many CPUs?

  • PDF of slide deck

Lunch & Learn: Parallel Processing

  • PDF of slide deck