Nov 24, 2024  
2022-2023 Undergraduate Bulletin 
    
2022-2023 Undergraduate Bulletin [ARCHIVED CATALOG]

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DANL 200 - Introduction to Data Analytics


2022-2023 Catalog Year

Credit(s): 3
Lecture: 3
Non-Lecture: 0
This course provides an applied overview of the data analytic process and methods. The goal of this course is to help students unlock the potential of data analysis and improve the ability to transform data into a powerful tool in decision making. Students will develop foundational data analytics skills to prepare for a career or future learning that involves more advanced topics in data analytics. Topics covered include (1) introduction to Data Analytics thinking, (2) data generating process and exploratory data analysis, (3) linear regression and model selection (4) classification and clustering. During the course, students will work hands-on with the R programming language and its associated data analysis libraries.

Prerequisite(s): (ECON 205  or GEOG 278  or MATH 242  or MATH 262  or PLSC 251  or PSYC 250  or SOCL 211 )  and  DANL 100  
Offered: Every Semester



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