Experienced professionals who want to improve their SCM processes using analytics and/or want to learn how to grow/develop analytics projects in their operations organization.

The program consists of four courses:

Course 1: Transforming Supply Chain Management and Performance Analysis

Course 2: Creating Business Value with Statistical Analysis

Course 3: Machine Learning Applications for Supply Chain Planning

Course 4: Supply Chain Optimization

Each course moves along the analytics continuum from dashboarding and data visualization to machine learning and optimization.

Take all four courses in the Supply Chain Analytics Professional (SCA) series within four years to receive your certificate. Classes can be taken in any order to complete the program, although each course does build upon the skills covered in the courses that precede it; therefore, having content knowledge and the ability to apply those skills at each level is recommended as the best way to complete the program.

• Course 1: Transforming Supply Chain Management and Performance Analysis

This course prepares you to apply leading-edge analytical methods and technology enablers across the supply chain. Learn the dynamics of supply chains, the most relevant planning challenges, and the roles of different types of analytics. Next, discover data cleansing, exploratory data analysis, and visualization. Use Python and PowerBI to analyze the causes of underperformance and to build dashboards to visualize supply chain data before seeing how to gather, analyze, and prepare your data through descriptive analytics. Discuss the causes of underperformance and to build dashboards to visualize supply chain data before seeing how to gather, analyze, and prepare your data through descriptive analytics.

Class Date(s):

2026 Dates Complete

⊕ Learn more about Course 1 or Enroll to save your spot

• Course 2: Creating Business Value with Statistical Analysis

This course is the second in the four-course Supply Chain Analytics Professional certificate program. It emphasizes operational performance metrics to align supply chain management with strategic business goals. Learn several statistics concepts (e.g. variance analysis, hypothesis testing, forecasting methods) along with inventory management models. Use diagnostic analytics with PowerBI and Python to conduct demand and service profiling, undertake root cause analysis, and use time series forecasting in inventory management.

Note: Knowledge of content and ability to apply skills covered in Course 1 of the program is highly recommended but not required to take Course 2.

Class Date(s):

2026 Dates Complete

⊕ Learn more about Course 2 or Enroll to save your seat

• Course 3: Machine Learning Applications for Supply Chain Planning

This course introduces the field of machine learning, an area where algorithms learn patterns from data to support proactive decision making, as it applies to supply chain management. Use machine learning to conduct predictive analytics as you forecast future demand, develop inventory policies, perform customer segmentation and predictive maintenance. Use Python and PowerBI to create and analyze regression, clustering, and classification models.

Note: Knowledge of content and ability to apply skills covered in Courses 1 and 2 of the program is highly recommended but not required to take Course 3.

Class Date(s):

Sep 14 - 17, 2026

⊕ Learn more about Course 3 or Register to save your seat

• Course 4: Supply Chain Optimization and Prescriptive Analytics

The course incorporates learning advanced analytics and mathematical optimization to find solutions for supply chain problems. Learn how to use linear programming, mixed integer programming, and heuristics to conduct prescriptive analytics related to production processes, distribution networks, and routing. This serves as a capstone for the program by culminating in a hackathon where you’ll design networks, inventory policies, and scenarios and then evaluate the outcomes via simulations.

Note: Knowledge of content and ability to apply skills covered in Courses 1, 2, and 3 of the program is highly recommended but not required to take Course 4.

Class Date(s):

November 2 - 5, 2026

⊕ Learn more about Course 4 or Register to save your seat

• Do I need previous professional experience in supply chain management or analytics to take the courses?
We recommend having some experience, but it is not required for the first course. While you are not required to complete the courses in order, you will be expected to have knowledge of any previous course’s content and the ability to apply the skills it covered.

• Is this program also available to international applicants?
Yes.

• Who will host the courses?
Georgia Tech will host the first four courses online via their website. Information will be sent via email once registration is complete.

• How do I register for courses?
Registration is available via the Georgia Tech Professional Education website. Once on the site, add a desired course to your shopping cart for purchase then proceed to checkout to complete registration.

• Will there be course material to review and to keep?
Yes, course material will be available for you.

• Do I need to already know how to use Python and PowerBI?
We recommend but do not require that you are already familiar with Python and PowerBI. We will provide technical guides to help you get up to speed with the programs a few weeks before each course begins. One week before each course, you can join an optional webinar to test your software, get assistance installing the programs, and learn exactly what you need to be able to do within Python and PowerBI for the course.

• Will these courses teach me how to code?
These courses focus on how to apply analytics to supply chain management and use Python and PowerBI as tools. The courses do not focus on the basics of coding. You are welcome to start your coding education in the weeks leading up to a course by using the technical guides and optional pre-course webinar. However, if you wait until the first webinar in a course to attempt to code for the first time, you will likely be distracted by the code and not be able to fully pay attention to the course’s content.

• Why Python and PowerBI?
You can use many different programs for using analytics to address supply chain challenges. We chose these programs for these courses due to their accessibility, relative easiness to learn, and pervasiveness throughout current supply chain analytics projects.

• How much hands-on experience will I get?
You will practice the concepts you learn using data from the fictional Cardboard Company. This case is based on real projects with which the instructors have worked and is designed to allow you to practice applying analytics on realistic challenges.


For additional questions, please contact our ORTEC Education team.