SUPPLY CHAIN CANADA

PROFESSIONAL DEVELOPMENT

Grow Your Career, Earn CPD Credits, and Keep Ahead of the Curve with Supply Chain Best Practices

SUPPLY CHAIN ANALYTICS FOR BUSINESS RESULTS

10 Sessions Every Tuesday & Thursday

The Supply Chain Analytics for Business Results is a 20-hour live, virtual, and practical training delivered by Dr. Prashanth H Southekal, Managing Principal of DBP-Institute. This training will equip participants with key data analytics concepts and skills across Supply Chain and data analytics domains. Dr. Southekal has trained over 2000 professionals the world over.

This course is designed for Supply Chain Professionals to build on technical and managerial competencies. Participants will learn real-life examples of how data analytics can be applied to supply chain from transportation, facilities, inventory, information, and procurement. This course has a strong focus on the application of data and insights for supply chain business performance.

ABOUT THE INSTRUCTOR

Prashanth Southekal is the Managing Principal of DBP-Institute, a data and analytics consulting and education firm. He has consulted for over 75 organizations including Shell, Apple, P&G, and GE. Dr. Southekal is a published author of two books and a contributing writer on data, analytics, and machine learning in Forbes.com, CFO. University and FP&A Trends.

Apart from his consulting pursuits, he has trained over 2,500 professionals worldwide in data and analytics, and he is also an Adjunct Professor of Data Analytics at IE Business School (Madrid, Spain). He has a PhD from ESC Lille (FR) and MBA from Kellogg School of Management (US).

He lives in Calgary, Canada with his wife Shruthi, daughter Pranathi, son Prathik, and a high-energy golden-doodle dog Kanya. Outside work, Prashanth pursues juggling and cricket.

COURSE REGISTRATION

FEBRUARY 1 – MARCH 3, 2022
10 SESSIONS EVERY TUESDAY & THURSDAY

11:00 AM – 1:00 PM MT
12:00 PM – 2:00 PM CT

VIA ZOOM

10 CPD CREDITS

PRICING
$950 MEMBERS | $1,100 NON-MEMBERS

ALBERTASASKATCHEWANMANITOBANORTHERN TERRITORIES

KEY OUTCOMES

  • Learn real-life examples of how data analytics can be applied to various areas of supply chain from transportation, facilities, inventory, information, and procurement.
  • Understand Data Analytics, Business Data and Business Systems in the context of Supply Chain Management (SCM).
  • Learn key strategies to acquire quality data for Data Analytics in SCM.
  • Apply Data Analytics techniques, derive insights, interpret the results, and communicate the insights derived to senior management and stakeholders.
  1. Introduction to Supply Chain Analytics
  2. Business Data and IT Systems
  3. Exploratory Descriptive Analytics
  4. Associative Descriptive Analytics
  5. Inferential Descriptive Analytics
  6. Predictive Analytics
  7. Essentials of Machine Learning
  8. Prescriptive Analytics
  9. Data Visualization
  10. Data Products & Wrap-up
N/A

DRAFTING A STATEMENT OF WORK (SOW)

2 Half-Day Workshop

A Statement of Work (“SOW”) can play a critical role in both planning and contracting. This two half-day workshop explores the importance and benefits of an SOW, legal and risk considerations, what makes an effective SOW and how your organization can benefit from an SOW.

ABOUT THE INSTRUCTOR

Debby Shapero Propp is a commercial lawyer with a focus on procurement, technology and health law and has provided legal services in the private, public and broader public sectors for over 25 years.

Debby provides advice on challenging procurement initiatives, major group procurements and on all aspects of increasingly complex procurement issues and related commercial processes. She acts for her clients in major technology acquisitions, negotiations for both traditional and emerging technologies such as IT contract management, software licensing, consulting and professional service agreements. She has developed a number of different types of service contract templates and has provided advice to clients on and negotiated a wide range of service contracts.

COURSE REGISTRATION

FEBRUARY 24-25, 2022

8:30 AM – 12:00 PM MT
9:30 AM – 1:00 PM CT

VIA ZOOM

5 CPD CREDITS

PRICING
$425 MEMBERS | $495 NON-MEMBERS

ALBERTASASKATCHEWANMANITOBANORTHERN TERRITORIES

KEY OUTCOMES

  • Recognize the importance of an SOW, when to use it and when not to use it
  • Integrate an SOW into the planning phase of a project and into the contract
  • Understand the legal and risk considerations of using an SOW
  • Learn how to develop and identify the components of an SOW
  • Apply writing strategies and tips for developing an SOW
  • Mitigate project and contractual risk through the use of an SOW
  • Why and when to use an SOW
  • Importance of an SOW and related benefits
  • Definitions and related terminology
  • Legal considerations and risk mitigation
  • Qualities of an effective SOW
  • Contractor/service provider perspective
  • Format suggestions and writing tips
This interactive workshop is suited for private and public sector participants involved in your organization’s project planning, procurement process or contract management. Participants will be provided with take-away strategies and a pro-forma SOW template that will be worked with during the workshop.

APPLIED MACHINE LEARNING

Professional Certificate in Supply Chain

Artificial Intelligence (AI) can be used today to make faster, more accurate and risk-managed supply chain decisions.  

This Applied Machine Learning in Supply Chain Professional Certificate is the first of its kind in Canada. It will give supply chain professionals a clear edge in harnessing the power of AI in everyday SCM practices and decisions.

McKinsey Global estimates that firms will derive between $1.3trn and $2trn a year in economic value from using AI in supply chains and manufacturing.

ABOUT THE INSTRUCTOR

TO BOLDLY GO WHERE NO ONE HAS GONE BEFORE – THE APPLIED MACHINE LEARNING JOURNEYIan Gonzalez has 16 years in senior positions in Procurement, Engineering and Maintenance, and Corporate Planning departments within oil and gas, and aviation MRO. industries. He has a passion for SCM teaching and does so from the perspective of an experienced SCM professional, engineer, and computer programmer. MBA and BSc Mechanical Engineering.

COURSE REGISTRATION

MARCH 23 – JUNE 4, 2022
21 HOURS INSTRUCTION
50 HRS SELF-DIRECTED LEARNING

FULL SCHEDULE LISTED IN COURSE DETAILS

VIA ZOOM

10 CPD CREDITS

PRICING
$2,500 MEMBERS | $2,800 NON-MEMBERS

COHORT 3 REGISTRATIONLEARN MORE

ATTEND OUR FREE INFOMATION SESSIONS

JANUARY 27, 2022FEBRUARY 22, 2022

KEY OUTCOMES

  • Use machine learning to inform supply chain decision making
  • Work with the concept of a data model, to evaluate it, and explain why models fail
  • Apply algorithm model building knowledge to build forecasting and prediction models
  • Classify models – as supervised, unsupervised, or reinforced
  • Apply data wrangling and pre-processing techniques
  • Classify performance models as regression or classification
  • Publish and deploy models onto a commercial Machine Learning platform
  • Configure, implement and report on a real use case for your organization

The course is carefully scheduled in modules over a 3-month period, in which participants will grow from ML novice to a confident ML practitioner. The purpose overall is to deliver value to your work and your organization.

Module 1: Fundamentals of Machine Learning

This module cuts through the jargon such that key foundational machine learning concepts are understood and form the basis for going deeper in the theory and more importantly practice. Participants start learning by using simple data.

Module 2: Deep Dive into Data Engineering

Real-life is not as simple. This module takes the participants deeper into machine learning so that they become comfortable in using unclean data and various types of machine learning algorithms

Module 3: Deep Learning Natural Language Processing and Computer Vision

This module explores neural networks which make up the backbone of deep learning algorithms. Participants also learn to use text data from documents and emails to model

Module 4: Business Project

Supported by an expert instructor, the participant now applies the learnings on a real business project in their own job. This ensures that the skills effectively result in on-the-job performance. The participant and their workplace see results!

Course Orientation: Mar.23, 2022

Module 1:  Mar. 26 – Apr. 8, 2022
Fundamentals of Machine Learning

Module 2: Apr. 9 – 22, 2022
Deep Dive into Data Engineering

Module 3: Apr. 23 – May 6, 2022
Deep Learning Natural Language Processing and Computer Vision

Module 4: May 7 – Jun. 3, 2022
Business Project

Project Presentation & Certificate Awards Ceremony –  Jun. 4, 2022

Analytical ability and interest.

No programming experience is needed!