Spring 2024 Statistics UN1010 section 001

Statistical Thinking For Data Science

Stat Thinking w. Python Labs

Call Number 13612
Day & Time
Location
MW 1:10pm-2:25pm
516 Hamilton Hall
Day & Time
Location
W 2:40pm-3:55pm
516 Hamilton Hall
Points 4
Grading Mode Standard
Approvals Required None
Instructor Anthony Donoghue
Type LECTURE
Method of Instruction In-Person
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 26 students (86 max) as of 6:06PM Monday, December 2, 2024
Subject Statistics
Number UN1010
Section 001
Division Interfaculty
Section key 20241STAT1010W001