2. What Business Analytics Can Do For You!
Presented by:
Tanya Scott, Director, Business Analytics Department & Associate Dean, BPST
Wake Technical Community College

3. Social Media!
Twitter:
@LearnAnalytics

4. AAS Business Analytics: 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

5. What is Analytics?
30,000 ft definition: using data to draw conclusions- making inferences from available information
Other related terms: big data, data mining, business intelligence (BI), data science, data economy, high velocity data, live data, the internet of things (IoT), visual analytics, data intelligence

6. What are the Common Skills & Competencies?
Lack of consensus in the industry about a common set of skills and competencies; however…
Generally fall under three main groups:
Analytical/quantitative;
Technical; and
‘Soft’ skills

7. Analytical/Quantitative Skills
Range across a basic quantitative understanding and knowledge of statistics to modeling (descriptive, predictive, prescriptive) and machine learning;
Data literacy;
Critical thinking and reasoning;
Intellectual curiosity.

8. Technical Skills
Computer skills ranging from spreadsheets, GUI point-and-click tools, to programming languages (SAS, R, Python, SQL, etc);
Comfortable working with structured and unstructured data;
Generate reports and appropriate visuals.

9. Soft Skills
Communicate the problem, the process, and the final results orally and in written format appropriate to the receiving audience;
Collaboration;
Life long learning;
Driven, persistent, and likes to solve problems;
Strong ethical base and professional integrity;
Business acumen.

10. AAS Business Analytics Curriculum

11. Certificates Business Intelligence Certificate (1st year)
Business Analyst Certificate (2nd year)
Marketing Analytics
Finance Analytics
Logistics Analytics

12. Program Outcomes
Statistical and Analytic Theory, Best Practices, and Analysis
Data Mining and Warehouse
Predictive Modeling
Project and Operations Management
Analytics Tools and Techniques
Gen Ed Competencies
Employability or Soft Skills

13. 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.

14. 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

15. 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.

16. 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.

17. AAS Business Analytics: Technology Used
Alteryx
Tableau
SAS Programming
SAS Enterprise R
Python

18. Who are the Students (as of Fall 2015)

19. Who are the Students (as of Fall 2015)

20. Other Educational Opportunities
Some 4-year programs
Several graduate level programs
Continuing education and vendor training
Certification training (vendor related)
Free MOOC based programs
Open-source community & Self-learning

21. Plans for the future
Create a customized program to serve IR and IE needs in the CC system.
Offer boot camps and short classes
Summer training program

22. Thank you!
Contact Information:

23. “This workforce solution was funded by a grant awarded by the U. S
“This workforce solution was funded by a grant awarded by the U.S. Department of Labor’s 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