What Business Analytics Can Do For You Presented

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

Social Media! Twitter: @Learn. Analytics

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

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 (Io. T), visual analytics, data intelligence

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

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.

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.

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.

AAS Business Analytics Curriculum

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

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

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 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 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 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 • • • Alteryx Tableau SAS Programming SAS Enterprise R Python

Who are the Students (as of Fall 2015) 90 82 80 74 70 60 54 50 40 38 36 30 20 9 10 0 18 -25 26 -30 31 -40 41 -50 51 -60 61 -74

Who are the Students (as of Fall 2015) 150 147 144 140 130 120 110 100 Women Men

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

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

Thank you! Contact Information: tescott 1@waketech. edu

“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 http: //creativecommons. org/licenses/by/4. 0/