Data Science 2018: An Introduction

We continue our kick off for the year with an introduction to the world of Data Science.

What is Data Science?

Data Science is the study of the generalizable extraction of knowledge from data. Being a data scientist requires an integrated skill set spanning mathematics, statistics, machine learning, databases and other branches of computer science along with a good understanding of the craft of problem formulation to engineer elective solutions. This short lecture will introduce you to this rapidly growing field and introduce some of its basic principles and tools as well as its general mindset. Students will learn concepts, techniques and tools they need to deal with various facets of data science practice, including data collection and integration, exploratory data analysis, predictive modeling, descriptive modeling, data product creation, evaluation, and effective communication. The focus will be on the very high level treatment of these topics, synthesis of concepts and their application to solving problems.

Following this there will a general discussion, Q&A and update on the current state of landscape (recent major annoucenments will be also shared)

Date: 22 February 2018
Time: 06:15 PM to 07:30 PM
All times are US/Eastern

115 Library Drive
Oakland University
Rochester, Michigan
United States 48309-4479
Building: Engineering Center
Room Number: EC 254

Email event contact ganesan@oakland.edu

Co-sponsored by Prof. Subramaniam Ganesan & Education Society SE Michigan chapter
No Admission Charge
Starts 02 February 2018 09:45 AM
Ends 22 February 2018 07:27 AM
All times are US/Eastern
Menu: Vegetarian Pizza, Cheese Pizza, Regular Soda Pop, Diet Soda Pop
Register Now