DATASCI 101 - Introduction to Data Science
Winter 2022, Section 001
Instruction Mode: Section 001 is  In Person (see other Sections below)
Subject: Data Science (DATASCI)
Department: LSA Statistics
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Details

Credits:
4
Requirements & Distribution:
BS, MSA, QR/1
Advisory Prerequisites:
High school algebra.
BS:
This course counts toward the 60 credits of math/science required for a Bachelor of Science degree.
Repeatability:
May not be repeated for credit.
Primary Instructor:

Description

Data science combines mathematical and computational skills, together with statistical and ethical reasoning, to draw conclusions from data. A programming language is introduced in the context of data analysis. Probability and algorithms are developed as tools for formal statistical modeling and inference, and for exploratory analysis and visualization of data.

 

Schedule

DATASCI 101 - Introduction to Data Science
Schedule Listing
001 (LEC)
 In Person
36152
Open
1
 
-
TuTh 1:00PM - 2:30PM
002 (LAB)
 In Person
36153
Closed
0
4TRANSFER Y1
-
W 8:30AM - 10:00AM
003 (LAB)
 In Person
36154
Closed
0
5TRANSFER Y1
-
W 4:00PM - 5:30PM
004 (LAB)
 In Person
36155
Open
1
5TRANSFER Y1
-
W 5:30PM - 7:00PM
005 (LAB)
 In Person
37487
Closed
0
 
-
W 10:00AM - 11:30AM

Textbooks/Other Materials

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Syllabi

Syllabi are available to current LSA students. IMPORTANT: These syllabi are provided to give students a general idea about the courses, as offered by LSA departments and programs in prior academic terms. The syllabi do not necessarily reflect the assignments, sequence of course materials, and/or course expectations that the faculty and departments/programs have for these same courses in the current and/or future terms.

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CourseProfile (Atlas)

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CourseProfile (Atlas)