Areas of Focus
This course is the third of 4 courses in the Supply Chain Analytics Professional (SCA) certificate. While participants are not required to complete the program’s previous courses in the series, we suggest being familiar with the learning outcomes of the previous courses.
The online version of the course is comprised of (4) half-day online instructor-led LIVE group webinars (April 18, 19, 20, 21 | 1-5pm ET) and pre-work (e.g. installing and testing software on your computer, testing connectivity with LMS and meeting software, etc.) to be completed before the first day of the course.
The onsite/in-person version of the course takes place on the Georgia Tech campus over 2 days.
Course discounts are available! For more information please email email@example.com and mention which course you are interested in and which version (Online or Onsite/In-Person).
This course is the third in the four-course Supply Chain Analytics Professional certificate program. It 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. You’ll use machine learning to conduct predictive analytics as you forecast future demand, develop inventory policies, perform customer segmentation and predictive maintenance. You’ll use Python and PowerBI to create and analyze regression, clustering, and classification models.
Experienced business professionals who perform or want to perform analytics to improve their supply chain management processes. They want to tackle strategic goals and to perform leading edge analytics projects that address the full complexity of supply chains.
Below is format for the online/virtual-Instructor led version of the course.
For those interested in earning the Supply Chain Analytics (SCA) Professional Certificate, take the below 4 courses within four years.
Standard: $1,400.00, Alumni/Org Discount: $1,400.00, Certificate: $1,400.00 (cost of each course when signing up for and paying for a multi-course certificate program).
First time attendees pay the listed Course Fee. If you are a returning student of the Supply Chain & Logistics Institute (SCL) courses (or are active/retired military), you will receive a 10% discount when you enter the coupon code SCL-Alum on the "Check Out" page. If you register and pay for all required courses in a Supply Chain & Logistics certificate in one single transaction, you can receive a discount of 17% off each course by entering the coupon code SCL-Cert on the "Check Out" page. There are also discounts available for multiple-team member registrations or to members of certain organizations.
Discounts cannot be combined. For questions, call 404-385-8663 or send us an email prior to registration
The program fee for LIVE courses (non-online) includes continental breakfasts, lunches, breaks, parking, internet access, and all classroom materials.
If the Supply Chain & Logistics Institute must cancel a program, registrants will receive a full refund. Georgia Tech, however, cannot assume the responsibility for other costs incurred. Due to program enrollment limits, early registration is encouraged. Registrations will be acknowledged by a letter of confirmation from Professional Education.
On the first day, please log in at least 15 minutes before the class start time.
On the first day, please arrive 30 minutes before the class start time.
If SCL/GTPE cancels a course, participants will be notified via email or phone and will be given the option for a full refund or to transfer their registration and any fees paid to another course. It is the responsibility of the student to pay any difference in price, if applicable, when a transfer is made. SCL/GTPE is not responsible for nonrefundable plane tickets, hotel and rental car deposits, nor any other expenses incurred.Every effort is made to present the course as advertised herein; however, circumstances may make it necessary to alter the schedule and/or presenters.
We designed the courses to apply to both people with experience and without experience in these programs. We will provide resources for installing and getting started with the programs in the weeks leading up to the course. One week before the course starts, we will have a webinar to provide more guidance and provide direct assistance. During the course, we will provide the solutions to the exercises so that participants can choose to write the code on their own, use the solutions as hints, or use the solutions entirely and focus on the content rather than coding.
We designed each course to meet the needs of students who are taking the full certificate series along with the needs of students who are taking a single course. Each course will start with a brief review of previous content for the benefit of everyone but will not go into detail. For the hands-on exercises, we will not expect anyone to come prepared with previously completed work.