7. Week 7 team presentation

7.1 Expectations

The material below are being provided to students to prepare class presentation on week 7.
This is not lecture material and won't be covered in the class, students are expected to self study and then prepare the presentation
Presentation Expectation:
- 5 minutes presentation
- 2 minutes Q&A: For colleagues in the class and instructor

Problem statements need to be curated to fit class room settings and constraints related to that namely, data availability.

Even though data availabilty may guide out choice of projects, here are a list of articles that you may wan to glos over to define the project

Story telling: This is a good basic review of how a project should look like and the thought process. I like this web site for basic stuff.
Choosing a problem statement. Interesting Approach kind of focussed on job search
Choose a project based on motivation. First two section in our section has very clear answers. This is for the course & we are using Python!
High level article in Data Strategy from HBR.
Guide to Defining Problem Statements. Besides the meme at the begining of the article everything else looks super relevant
Data science capstone ideas: I think this is a good read though slightly advanced
Data Science for Good Project Scoping: This is a interesting write up of formulating problems for non-profit and social good projects

Here is a list of commonly used open source data repository where you may look for data as well as inspiration for project

The following is a indicative list. Feel free to search and add your own

New Orleans Datadriven site
Baton Rouge Open Data
Tulane Link including datacentersearch
Go Daddy Venture Forward Data
FiveThirtyEight is an incredibly popular interactive news and sports site started by Nate Silver. Data sets are here
UCI ML Repository
kaggle data sets
data.world describes itself at ‘the social network for data people’
World Bank Data Sets