Certificate in Business Analytics

Data Driven Business Decisions

Businesses have seen an ever increasing role of data in decision-making processes. The difference between failure and success increasingly hinges on one’s ability to interpret, analyze, present, and effectively communicate data to others.
In this program, you will learn:

  • Various data analytic methods to inform and improve your decision making.

  • To be able to identify which of the analytic methods would be best to use based on the available data and the problem that needs to be solved.

  • Modeling techniques that will allow you to confidently make better forecast decisions for your business.

When you complete this program, you will be able to identify the most appropriate analytic method to use in a given situation, thereby allowing you to be able to make more effective data driven business decisions.

This course makes extensive use of Microsoft Excel and Excel Add-ins.

Class Information

Pre-Requisites

Undergraduate degree in any major, familiarity with Excel and willingness to work with data.

Duration and Delivery

Six Credit Hour Program starting in August. Part I is completed by December and Part II starts January and is completed by the first week of May.

The program is completely online. All course material and videos will be posted online on Blackboard.  Faculty will meet with students every week online on Zoom on Tuesdays 6:30 PM.

Program Fee

Fall Semester  $1,000 per student
Spring Semester $1,000 per student
Analytic Solver Software $25 per student per semester ($50)
Total $2,050 per student 

Certificates

Certificate in Business Analytics – Basic (Fall Semester)

Certificate in Business Analytics – Advanced (Spring Semester)

Please Note:  Students can complete Fall Semester and get their Certificate in Business Analytics – Basic. They cannot take Business Analytics – Advanced without completing the Business Analytics – Basic.

Students who pass both qualifying exams of Basic and Advanced can receive credit for the Business Analytics course taught in the MBA program. They will get to convert the 6 credit hours of this Certificate program into 3 credit hours in the MBA program at Francis Marion University.

Registration starts on July 19th 2021 and ends on August 19th 2021.
For more information and to register, contact School of Business at 843-661-1420 or email: [email protected]

Frequently Asked Questions

Who is the Certificate meant for?

The Certificate in Business Analytics is meant for anyone with an undergraduate degree and is interested in learning how to use data and data analytics to make decisions at their work.  This course will use Microsoft Excel and some additional software which will be added into Microsoft Excel.

How will the course be delivered?

This course is completely online. All course material and videos will be posted online on Blackboard.  Faculty will meet with students every week online on Zoom on Tuesdays 6:30 PM.

Can I do just one part of the course?

Students can take Part I of the course and decide not to continue onto Part II. They will receive a modified Certificate with only Descriptive and Predictive Analytics.  Students cannot register for Part II without completing Part I or clearing the qualifying exam for Part I.

Do I need a textbook for this Certificate Program?

There will be multiple books recommended but a participant in this program should be able to complete the entire course without a text book.

What pre-requisites are needed for this Certificate?

Undergraduate degree in any major, familiarity with Excel and willingness to work with data.

When the does course start?

The Certificate program starts every August in the Fall. Part I is completed by December and Part II starts January and is completed by the first week of May.

Can I use credits from this Certificate for the MBA program at FMU?

At the end of each Part of this Certificate there is a qualifying exam which students can choose to take. Students who pass both qualifying exams of Part I and Part II will be given credit for the Business Analytics course taught in the MBA program.  They will get to convert the 6 credit hours of this Certificate program into 3 credit hours in the MBA program at Francis Marion University.

Fall Semester (Basic)

Data Visualization

Data Distributions

Binomial, Hypergeometric, Poisson, Uniform, Exponential, Normal

Measures of Central Tendency and Dispersion

Mean, Median, Mode, Standard Deviation and Variance

Hypothesis Testing

One sample (Z test, T Test), Two sample (Independent sample Z and T tests, Matched Samples)

Analysis of Variance

Single Factor, Two Factor without Replication, Two Factor with Replication

Chi Square

Test of Independence, Distribution Fitting

Regression Analysis

Simple Regression
Multiple Regression
Multiple Regression with Categorical Variables
Multiple Regression with Interaction
Multiple Regression with Nonlinear variables

Data Mining

Discriminant Analysis and Logistic Regression
K-Nearest Neighbor
Classification Trees
Neural Networks
Naïve Bayes

Time Series Forecasting

Adaptive Forecasting

  • Simple Moving Average
  • Weighted Moving Average
  • Exponential Smoothing
  • Double Moving Average
  • Trend Corrected Exponential Smoothing (Holts Method)
  • Trend and Seasonality Corrected Exponential Smoothing (Winters Method)

Static Methods

  • Using Regression and Categorical Variables
  • Using Regression and de-seasonalized demand

Spring Semester (Advanced)

Introduction to Modeling and Simulation

Linear Programming

Sensitivity Analysis
Budget Allocation
Cash Flow Optimization Model
Advertising Allocation Model
Production Planning and Control Model
Make versus Buy Model
Blending Model
Investment Portfolio Optimization Model
Transportation Models
Transshipment Models
Logistics and Supply Chain Models
Shortest Path Model

Integer Linear Programing

Work force Scheduling Models
Capital Budgeting Optimization
Project Selection Models

Simulation and Optimization with Risk

Probability Distributions and Random Number Generation
Monte Carlo Methods
Statistical Analysis of Simulation Output and
Decision Making incorporating Risk

Faculty

Photo of Elizabeth Sharer

Dr. Elizabeth Sharer, Associate Professor of Management, School of Business, Francis Marion University

Dr. Sharer teaches Production and Operations Management, Business Analytics, Manufacturing Planning and Control at the School of Business.  Her research interests include Machine Learning, Evolutionary Algorithms, Supply Chain and Operations Management.  Dr. Sharer has her PhD in Information Technology, BS in Marketing and Operations Management and BFA from University of North Carolina at Charlotte.

Photo of Hari Rajagopalan

Dr. Hari K Rajagopalan, Eugene Fallon Jr. Professor of Management and Dean, School of Business.

Dr. Rajagopalan teaches Business Analytics, Supply Chain Management and Business Statistics.  His research interests include Supply Chain Management, Game Theory, Meta Heuristic Optimization and Business Analytics.  Dr. Rajagopalan has his PhD in Information Technology and MS in Computer Science from University of North Carolina at Charlotte.  He also has his MBA from Delhi University and BEng in Mechanical Engineering from Anna University.