Directory of Classes

NOTE: Course information changes frequently, including Methods of Instruction. Please revisit these pages periodically for the most recent and up-to-date course information.


Spring 2021 Statistics UN1010 section 001
Statistical Thinking For Data Science
Stat Thinking w. Python Labs

Call Number 13108
Day & Time
Location
MW 2:40pm-3:55pm
ONLINE ONLY
Day & Time
Location
T 1:10pm-2:25pm
ONLINE ONLY
Points 4
Grading Mode Standard
Approvals Required None
Instructor Anthony Donoghue
Type LECTURE
Method of Instruction On-Line Only
Course Description The advent of large scale data collection and the computer power to analyze the data has led to the emergence of a new discipline known as Data Science. Data Scientists in all sectors analyze data to derive business insights, find solutions to societal challenges, and predict outcomes with potentially high impact. The goal of this course is to provide the student with a rigorous understanding of the statistical thinking behind the fundamental techniques of statistical analysis used by data scientists. The student will learn how to apply these techniques to data, understand why they work and how to use the analysis results to make informed decisions. The student will gain this understanding in the classroom and through the analysis of real-world data in the lab using the programming language Python. The student will learn the fundamentals of Python and how to write and run code to apply the statistical concepts taught in the classroom. 
Web Site Vergil
Department Statistics
Enrollment 43 students (50 max) as of 9:06PM Friday, November 26, 2021
Subject Statistics
Number UN1010
Section 001
Division Interfaculty
Open To Barnard College, Columbia College, Engineering:Undergraduate, General Studies, Professional Studies
Campus Morningside
Section key 20211STAT1010W001

Home      About This Directory      Online Bulletins      ColumbiaWeb      SSOL
SIS update 11/26/21 21:06    web update 11/26/21 21:23