DAT-NYC-37

Course materials for General Assembly's Data Science course in New York (6/1/16 - 8/15/16)

Project folder

The repository to upload projects can be found here: https://github.com/ga-students/DAT-NYC-37-Students

Exit Ticket

Fill me out at the end of each class!

Schedule

Week	Date	Class	Due
0		Onboarding
		Unit 1 - Research Design and Exploratory Data Analysis
1	6/1	What is Data Science
1	6/6	Research Design and pandas
2	6/8	Descriptive Statistics for Exploratory Data Analysis
2	6/13	Flexible Class Session: Exploratory Data Analysis	Unit Project 1 due
3	6/15	Inferential Statistics for Model Fit
		Unit 2 - Foundations of Data Modeling
3	6/20	Introduction to Regression and Model Fit	Unit Project 2 due
4	6/22	Introduction to Regression and Model Fit, Part 2
4	6/27	In-Class Project: Building a model
5	6/29	Introduction to Classification	Final Project 1 due
5	7/6	Classification with K-Nearest Neighbors
6	7/11	Decision Trees and Random Forests
6	7/13	Introduction to Logistic Regression
		Unit 3 - Data Science in the Real World
7	7/18	Advanced Metrics and Communicating Results	Final Project 2 Due due
7	7/20	Natural Language Processing and Text Classification	Unit Project 3 Due due
8	7/25	Latent Variables and Natural Language Processing
8	7/27	Scraping data from an API
9	8/1	Flex Sesson
9	8/3	Wrapping Up and Next Steps
10	8/8	Final Project Presentations	**Final Project presentation **
10	8/10	Final Project Presentations, Part 2

(Syllabus last updated on 6/16/2016)

(Flexible class sessions will be finalized after student goals are defined)

Your Team

Instructor: Anthony Erlinger

Expert-in-Residence: Zunayed Ali Morsalin

Slack

You've all been invited to use Slack for chat (channel #dat-37) during class and the day. Please consider this the primary way to contact other students. Bob will be on Slack during class and office hours to handle questions.