Creating Business Value with Statistical Analysis

  • Overview
  • Course Content
  • Requirements & Materials
Overview

Creating Business Value with Statistical Analysis

Course Description

As the second course in the Supply Chain Analytics Professional Certificate program, you’ll learn to leverage technology to develop effective Key Performance Indicators and to apply statistics to understand and forecast data. Emphasizing identifying the links between operational and business performance metrics, you’ll also learn several statistical concepts (e.g. variance analysis, hypothesis testing, forecasting methods), along with the use of statistical methods in inventory management.  The course culminates in the use of the fictional Cardboard Company case where you’ll apply your new skills by building visual dashboards, conducting demand and service profiling, undertaking root cause analysis, and using time series forecasting in inventory management – all enabled by Power BI and Python. By the end of the course, you’ll know how to perform leading edge analytics projects to address the full complexity of your organization’s supply chains.

While you are not required to complete the Transforming Supply Chain Management and Performance Analysis, Creating Business Value with Statistical Analysis, and Machine Learning Applications for Supply Chain Planning courses prior to this capstone, we suggest you being familiar with their learning outcomes.

Course Content

BUSINESS STRATEGY ALIGNMENT

  • Alignment with the supply chain

APPLICATION OF STATISTICS IN THE SUPPLY CHAIN

  • Variance analysis
  • Hypotheses testing
  • Expected demand

INVENTORY MANAGEMENT MODELS

TIME SERIES FORECASTING

  • Supply chain management
Requirements & Materials
Important Information

Access to the content for this course requires you to set up a password for your Georgia Tech (GT) account different from your account and password on this website.  

After you complete your registration follow the "How to Access Your Course Content" instructions which display on the session details (summary) page for this course.

Prerequisites

Recommended

Required

  • Elementary knowledge of statistics and data analysis
  • Basic coding skills
  • Experience using Python and Power BI*

*Don’t have experience with Python or PowerBI? 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.

Materials

Required

  • Laptop computer

Provided

  • Lecture materials via PDF in Canvas

Session Details

  • Special Discounts: All residents of the State of Georgia are eligible for a 50% discount while funds last thanks to a grant from the U.S. Department of Commerce's Economic Development Administration. Use of this discount is subject to verification of GA residency. Enter coupon code SCL-GAAIM at checkout (cannot be combined with other discounts).

    Non-Georgia residents can register and pay for all required courses in a Supply Chain & Logistics certificate and receive a discount of 17% off per course. Enter coupon code SCL-Cert at checkout. Review coupon instructions for more information.

    If you have 3 or more participants from your organization, please contact us for volume discounts at course@scl.gatech.edu.

Who Should Attend

This course is designed for experienced business professionals who perform (or want to perform) data analyses of any form in the area of supply chain, and who seek to get more from their supply chain data. The course will benefit learners who want additional tools and who want to become a change agent that tackles strategic supply chain goals.

Supply chain professionals collaborating during course

What You Will Learn

  • Critical thinking skills for business
  • Fundamental statistical techniques and concepts to analyze data
  • How to test alternative inventory policies and improve inventory management performance
  • Statistical concepts
  • How to use Python and Power BI to apply statistical techniques
  • How to develop supply chain performance dashboards
  • Time series forecasting for inventory management
Supply chain professionals collaborating in warehouse

How You Will Benefit

  • Align supply chain strategy with business strategy.
  • Understand inventory management models.
  • Apply statistics techniques to inventory management.
  • Understand the effects different inventory policies have on performance metrics.
  • Apply statistical concepts, such as variance analysis, hypotheses testing, expected demand, and simple forecasting techniques.
  • Grow Your Professional Network icon
    Grow Your Professional Network
  • Taught by Experts in the Field icon
    Taught by Experts in the Field

The purpose of taking these courses was to advance my career and gain and greater understanding of the role that I am in with my employer. Our group was diverse in all of their roles and came from various industries, so I was able to get information they shared, and I can apply that to what I am doing in my own role.

- Roz Nero
Procurement Negotiator and Proposal Specialist
Roz Nero, procurement specialist

TRAIN AT YOUR LOCATION

We enable employers to provide specialized, on-location training on their own timetables. Our world-renowned experts can create unique content that meets your employees' specific needs. We also have the ability to deliver courses via web conferencing or on-demand online videos. For 15 or more students, it is more cost-effective for us to come to you.

  • Save Money
  • Flexible Schedule
  • Group Training
  • Customize Content
  • On-Site Training
  • Earn a Certificate
Learn More

Want to learn more about this course?