Business Analytics Program at Wake Tech Community College
Wake Tech Community College offers an Associate in Applied Science degree program in Business Analytics. The program aims to prepare students for careers in analytics fields such as Business Intelligence, Marketing Analytics, Finance Analytics, and Logistics Analytics. With a focus on employability, the program covers core courses in analytics, data visualization, statistical analysis, and more. Through a partnership with the Department of Labor and Education, the college received a grant to launch the program in 2013. The program is designed to equip students with the skills and knowledge needed to succeed in the ever-growing field of business analytics.
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AAS Business Analytics: Wake Tech CC Tanya Scott Director, Business Analytics Department Assoc. Dean, Business & Public Services Dr. Manju Shah Assoc. Department Head, Business Analytics Department
Wake Technical Community College Wake Technical Community College RALEIGH, NC RALEIGH, NC Largest community college in NC 70,000+ students County population: 1 million The college is 52 years old.
Beltline Education Center Beltline Education Center Northern Wake Campus Northern Wake Campus RTP Campus RTP Campus (Opening 2017) (Opening 2017) Eastern Wake Eastern Wake Education Education Center Center 2 7 6 8 4 Perry Health Sciences Perry Health Sciences Campus Campus Western Wake Campus Western Wake Campus 5 3 Public Safety Education Public Safety Education Campus Campus 1 Main Campus Main Campus
AAS Business Analytics: AAS Business Analytics: DOLTAA TAACCCT Round 2 Grantee DOLTAA TAACCCT Round 2 Grantee TAACCCT (Trade Adjustment Assistance Community College and Career Training) Program Partnership between the Department of Labor and the Department of Education Received award October 2012; offered our first course January 2013 Focus: employability in analytics fields
Source: United States Department of Labor Employment and Training Administration: http://www.doleta.gov/taaccct/pdf/TAACCCT_One_Pagers_All.pdf
AAS Business Analytics: Program AAS Business Analytics: Program Associate in Applied Science degree: 64 credits Five embedded certificates: Business Intelligence Business Analyst Marketing Analytics Finance Analytics Logistics Analytics
AAS Business Analytics: 9 Core Courses AAS Business Analytics: 9 Core Courses BAS 120: Introduction to Analytics Explain the analytical process and the role of the analyst. Utilize applied descriptive statistics to make basic business decisions. Utilize exploratory data analysis to make basic business decisions. BAS 121: Data Visualization Utilize concepts and methods in the graphical representation of data Utilize concepts and methods in the exploration and reporting of data Conduct basic linear regression methods Apply data visualization concepts to communicate insights about data.
AAS Business Analytics: 9 Core Courses AAS Business Analytics: 9 Core Courses BAS 150 Introduction to Analytical Programming Utilize statistical programming tools to conduct descriptive analytics. BAS 220 Applied Analytical Programming Process data utilizing appropriate pre-processing practices Apply linear and logistic regression using programming tools Generate reports that support business decision-making
AAS Business Analytics: 9 Core Courses AAS Business Analytics: 9 Core Courses BAS 221 Introduction to Predictive Analytics Build and validate predictive models for classification tasks. Build and validate predictive models for regression tasks. BAS 230 Applied Predictive Modeling Apply classification models to guide decisions. Apply regression models to guide decisions.
AAS Business Analytics: 9 Core Courses AAS Business Analytics: 9 Core Courses BAS 250 Analytical Tools and Methods Analyze complex data, including semi-structured and unstructured data, using analytical tools and methods. BAS 270 Advanced Analytical Tools and Methods Apply analytical methods and best practices in a simulated business setting.
AAS Business Analytics: Technology Used AAS Business Analytics: Technology Used Alteryx Tableau SAS Programming SAS Enterprise R Python
Thank you! Contact Information: Tanya tescott1@waketech.edu Manju mkshah@waketech.edu
This workforce solution was funded by a grant awarded by the U.S. Department of Labors Employment and Training Administration. The solution was created by the grantee and does not necessarily reflect the official position of the U.S. Department of Labor. The Department of Labor makes no guarantees, warranties, or assurances of any kind, express or implied, with respect to such information, including any information on linked sites and including, but not limited to, accuracy of the information or its completeness, timeliness, usefulness, adequacy, continued availability, or ownership. Except where otherwise stated, this work by Wake Technical Community College Building Capacity in Business Analytics, a Department of Labor, TAACCCT funded project, is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
