100% Plagiarism-Free
+1-727-416-5453

Sign In

Access your dashboard and order activity.

Forgot password?

Create Account

Register to place orders and track every step.

DS-GA 2003

Introduction to Data Science

New York University 3 credits Data Science

Course Description

Data Science is a new discipline. This brings challenges and opportunities. On the one hand, its boundaries are poorly defined; on the other hand, this very fact provides unusual latitude for us to establish its intellectual core in real time. This course is about that core. That is, we aim to provide students with an overview of Data Science as an endeavor: its origin, scope, techniques, debate and future. Consequently, this course is both broad and deep. It is broad in that it covers considerable ground in statistics and computer science in a short space of time. The central goal therein is to provide a basic and common vocabulary for students coming from multiple disciplines, enabling them to understand work in the field and to communicate their own work. The course will provide practical hands-on experience with Python and its associated data analysis libraries for this purpose. The course is deep in that we will cover some fundamental Data Science ideas in some detail—both technically and philosophically. This extends to the ethics of Data Science work.

Code
DS-GA 2003
Credits
3
Subject
Data Science

Programs That Include This Course

Get expert help with DS-GA 2003 Introduction to Data Science

Our subject experts help with essays, research papers, case studies, discussion posts, and capstone projects for these programs — written from scratch to your course requirements.

Get Help Now

Program and course information is reproduced from each university's published academic catalog for informational purposes and may change. Always confirm current requirements with your university. We are an independent academic support service and are not affiliated with or endorsed by the universities listed.

Academic Resources

Latest from the Blog

Expert guides on essay writing, citation styles, study skills, and academic success.

View All Articles