Skip to main content
Print this page
/Institutions/Walsh-College/json/catalogs.json
8698C621-E417-4E9B-8E3D-6BF4091B1B26
Catalog Search
Search Options
Entire Catalog
Programs
Courses
Search
http://walshcollege.smartcatalogiq.com/
8698c621-e417-4e9b-8e3d-6bf4091b1b26
https://searchproxy.smartcatalogiq.com/search
cf2ab67e-2a46-40eb-a5bc-8dcdf4c9bc76
course
/Institutions/Walsh-College/json/current/Walsh-College-Catalog-local.json
/Institutions/Walsh-College/json/current/Walsh-College-Catalog.json
Contents
Welcome to Walsh College
General Information
Academic Calendar
Admission to Walsh College
Readmission to Walsh College
Financial Aid and Scholarships
Student Services
International Student Information
Veteran Student Information
Walsh College Programs
Walsh College Courses
ACC - Accounting
BL - Business Law
BTC - Business & Technology
BUS - Business
CE - Continuing Education Courses
COM - Communications
DCT - Doctoral
DIS - Dissertation
ECN - Economics
ENG - English
FIN - Finance
IDS - Interdisciplinary
IT - Information Technology
000 Level Courses
200 Level Courses
300 Level Courses
400 Level Courses
500 Level Courses
700
IT 701
IT 703
IT 704
IT 707
IT 712
IT 720
IT 721
IT 722
IT 723
MDL - Moodle Orientation
MGT - Management
MKT - Marketing
MTH - Math
QM - Quantitative Methods
RES - Research Methods
RSD - Residency
TAX - Taxation
Professional Development
Policies and Procedures
Walsh College Leadership
Walsh College Faculty
Addendum
Catalog Links
Catalog Home
Site Map
All Catalogs
IT 712
PROGRAMMING FOR DATA VISUALIZATION & PREDICTIVE MODELING
This course provides an in-depth exploration into programming languages and techniques essential for data visualization and predictive modeling. Through a combination of theoretical concepts and practical hands-on exercises, students will gain proficiency in programming languages commonly used in data analytics such as Python and R. They will learn to utilize various libraries and tools to create visually compelling data representations and develop predictive models for analysis and decision-making purposes. Emphasis will be placed on understanding the underlying principles of data visualization and predictive modeling, as well as on acquiring practical skills for effective implementation.
Credits
3
Prerequisite
DCT 700
(May be taken concurrently.)
Distribution
INFORMATION TECHNOLOGY