Professional Certificate in
Supply Chain Analytics Course
- Get Trained by Trainers from ISB, IIT & IIM
- 16 Hours of Intensive Classroom & Online Sessions
- 20 Hours of Free Python Programming Videos
- Job Placement Assistance
Academic Partners & International Accreditations
"The global supply chain analytics market is expected to reach USD 7.1 billion by 2023." - (Source). Supply chains generate massive amounts of data- Big Data to be more specific. The analytical methods used to process the Data collected across the supply chain to improve the overall operational efficiency and effectiveness of the supply chain are referred to as Supply Chain Analytics Course. Supply Chain Analytics course enables management to make data-driven decisions at strategic, operational, and tactical levels. It encircles all the stages in the value chain namely sourcing, manufacturing, distribution, and logistics. In the Supply Chain Management field, there is a great shortage of professionals with process and analytics talents. The jobs that are greatest in demand are Demand Planner, Data Scientist, Supply Planner, and Supply and Operations Planner.
Supply Chain Analytics
Overview of Supply Chain Analytics Course
Most people think that simply having quality products and savvy marketing is enough to have a thriving business, but according to Market Watch article, having a robust supply chain is equally important. The article further goes on to elaborate on the importance of Big Data powered Supply Chain Analytics Course in streamlining and improving supply chains. Another Business Wire article puts in unambiguous terms that integrating AI and ML capabilities into the supply chain drives the market growth. As such, there is a growing demand for professionals with these skills. Supply Chain Management can also be enhanced by the use of Data Analytics. In this Supply Chain Analytics course, the participant will gain an understanding of Supply Chain Analytics training in Digital Transformation, Smart factories, and Industrial Revolution 4.0. The student will appreciate the use of Data Analytics in managing transportation in the most optimized manner. An entire module is devoted to the application of Operations Research in supply chain management. The Supply Chain Operation Reference (SCOR) models and metrics like ROE, ROA, APT, INVT, and PPET are also delineated. The participant will also appreciate the application of Simulation and Time Series Forecasting in Supply Chain Management. The application of Machine Learning Algorithms and Neural Network Algorithms in Supply Chain Management problems is detailed in the best Supply Chain Analytics Course.
Supply Chain Analytics Course Learning Outcomes
This Supply Chain Analytics course gives us an idea of the role of Supply Chain Analytics as a process enhancer in Digital Transformation, Smart Factories, and Industrial Revolution 4. There are different types of Supply Chain Analytics approaches employed like Descriptive Analytics, Predictive Analytics, Prescriptive Analytics, and Cognitive Analytics. Data Analytics is being used to optimize transportation management. Companies are using simulation techniques for supply chain management activities. Data analytics is used to plan facility location, design supply chain networks, and to evolve various metrics. In this course, students will learn discrete choice modeling to forecast demand-supply. The use of machine learning approaches to simplify bottlenecks in the supply chain is elaborated. Time Series Analysis and Data Visualization also are included as part of the course curriculum. This course will show how existing analytical techniques and methods can be enhanced by Data Science and Machine Learning techniques to better design and manage the supply chains. Supply chains are riddled with complexity that spans various departments, enterprises and sometimes geographical locations.This program is an expertly compiled course that will help participants understand how analytics is applied to the supply chain model.
Block Your Time
Python Programming Videos
Who Should Sign Up?
- IT Engineers
- Data and Analytics Manager
- Business Analysts
- Data Engineers
- Banking and Finance Analysts
- Marketing Managers
- Supply Chain Professionals
- Logistic Heads
- HR Managers
- Math, Science and Commerce Graduates
Supply Chain Analytics Course Modules
In this Supply Chain Analytics course, students will understand the numerous applications of Data Science and AI in Supply Chain Management. A separate module on the rudiments of operations research is introduced to the aspirant. Special focus is given to optimization and simulation techniques. In the succeeding modules, the student is exposed to core concepts of supply chain analytics and the Supply Chain Operations Reference Model. The various Supply Chain Measures of Performance like ROE, ROA, APT, ART, INVT, and PPET are described. The nitty-gritty of designing a robust supply chain network is elaborated as well. Transportation Management in a supply chain enabled with data analytics is the prime focus of the next module. The concluding modules deal with Machine Learning Algorithms in modeling discrete choices and deploying Neural Networks to improve Supply Chain efficiency. The final module deals with Time Series Analysis and Forecasting.
Trends in Supply Chain Analytics Course
To streamline the entire course of a product from the attainment of the raw material to its delivery phase is defined as Supply Chain.The analysis of your supply chain analytics is important to improve both internal and external evaluation as well as your performance, hiring practices, marketing campaigns, and monitoring of your vendors. Another trend that we will see in the supply chain is the use of the supply chain app that is transforming business practices in this field that helps see the existing state of products every step of the way. This provides visibility and transparency of products to all the people involved, be it a person on the floor waiting for a part or an operator waiting for a shipping container at the dock or port of entry.
The inclusion of AI in the supply chain analytics course has provided many benefits like eliminating human error, optimizing inventory levels, and improving supply chain marketing effectiveness with its ability to find patterns and predict purchasing demands. Block chain driven networks and devices are the best supply chain analytics course tools today that help protect data and information from being hacked or manipulated. This decentralized methodology is helping manage everything from invoices and payments to contracts and tracking by just being in one place. Another trend that cannot be ignored in the supply chain is the use of IoT (Internet of Things). This technology can be used for manufacturing processes, in managing demand, analyzing customer behavior, minimizing downtime, and in preventative maintenance.
How we prepare you
Additional Assignments of over 60+ hours
Live Free Webinars
Resume and LinkedIn Review Sessions
Lifetime LMS Access
Job Placements in Supply Chain Analytics Fields
Unlimited Mock Interview and Quiz Session
Hands-on Experience in Live Projects
Offline Hiring Events
Call us Today!