SPP_Data_Seminar

Data for public policy-- Seminar series, 2021-2022

Seminar goals:

1. Understand how to install and use commonly used statistical software packages R and STATA.
2. Learn how to download, clean and manipulate data for analysis
3. Introduce and use statistical modelling from the basics to an overview of A.I. algorithms
4. Consider how policymakers can leverage statistical analysis to draw insights about public policy

Seminar schedule (Tenative)

Python-Sessions	Format  (See format note)	Topic
Session 1: January 28th 10AM EST	2 hours	Using Python with colab.  Importing and downloading data.
Session 2: February 4th 10AM EST	2 hours	Cleaning data. Manipulating data
Session 3: February 11th 10AM EST	2 hours Graphing. Modelling

R-Sessions	Format  (See format note)	Topic
Session 1: February 18th	2 hours	Using R-studio.  Importing and downloading data.
Session 2: February 25th	2 hours Cleaning data. Manipulating data
Session 3: March 4th	2 hours	Graphing. Modelling

Format note:

The sessions will be conducted via zoom.

All code can be viewed publicly at this link. This webpage will contain both the code and links to the videos for each session.

In order to get the most out of each session I highly recommend watching the videos and trying the code by yourself BEFORE attending the sessions.

Prerequisites:

No background in coding or theoretical statistics is necessary.

Learning statistical software is very similar to a language, practice makes perfect.