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University at Buffalo

UB Undergraduate Academic Schedule: Fall 2020


This information is updated nightly. Additional information about this course, including real-time course data, prerequisite and corequisite information, is available to current students via the HUB Student Center, which is accessible via MyUB.


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EAS 345LEC - Introduction To Data Science
Lecture
Introduction To Data Science A Enrollment Information (not real time - data refreshed nightly)
Class #:   24364   Enrollment Capacity:   40
Section:   A   Enrollment Total:   39
Credits:   3.00 credits   Seats Available:   1
Dates:   08/31/2020 - 12/11/2020   Status:   OPEN
Days, Time:   T R , 2:20 PM - 3:40 PM
Room:   Remote view map
Location:   Remote      
Enrollment Requirements
Prerequisites: Pre-Requisites: MTH 142 and EAS 230 or EAS 240 or CSE 115
  Course Description
This course is an introductory level course in data science. Students are introduced to fundamental concepts in data science. The course will focus on three major themes: Data characteristics, data science pipeline, and data-driven applications. Topics include: Data diversity, data products, data collection methods, data cleaning, and formatting, storing and sharing data, privacy, and confidentiality of data, data security, small data analysis, and statistical analysis. All concepts covered will be illustrated using hands-on experiments and problem-based learning activities, analyzing real-world data sets to develop data science skills.
  Instructor(s)
             Ramamurthy, B look up    
  On-line Resources
Other Courses Taught By: Ramamurthy, B