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Professional Certificate in

Supply Chain Analytics Course

Our Certification Program in Supply Chain Analytics Course will boost your chances of staying ahead in the competition. Acquire the essential skills needed for Analytics, ML and AI.
  • Get Trained by Trainers from ISB, IIT & IIM
  • 40 Hours of Intensive Classroom & Online Sessions
  • 60+ Hours of Practical Assignments
  • 2 Capstone Live Projects
  • 100% Job Placement Assurance
Supply chain  Analytics course - 360digitmg
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Supply chain Analytics course reviews - 360digitmg
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Academic Partners & International Accreditations
  • supply chain Analytics course with IBM certificate
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  • supply chain Analytics training with Careerx certificate

Calendar-On-Campus Classes

Supply Chain Analytics

supply analytics course duration - 360digitmg

Total Duration

1 Month

supply chain analytics course pre-requisites - 360digitmg

Prerequisites

  • Computer Skills
  • Basic Mathematical Concepts
  • Supply Chain Fundamentals

"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.

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.

Course Details

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 applies to the supply chain model.

Understand various Supply chain metrics to be tracked in addition to understanding facility location and designing network
Use Data Analytics in managing transportation in the most optimized manner
Perform discrete choice modelling using Maximum Likelihood techniques along with forecasting the demand and supply
Get acquainted with simulation in the context of Supply Chain Management
Apply data-driven, machine learning approaches for business decisions
Gain an understanding of the role of Supply Chain Analytics in Digital Transformation, Smart factories and Industrial Revolution 4.0
Utilize time series forecasting to take proactive business decisions
Use data visualisation concepts to represent data for easy understanding
Block Your Time
supply chain analytics course - 360digitmg

40 hours

Classroom Sessions

supply chain analytics course - 360digitmg

60 hours

Assignments

supply chain analytics course - 360digitmg

60 hours

Live Projects

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.

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How we prepare you
  • Supply Chain analytics training with placements
    Additional Assignments of over 60+ hours
  • Supply Chain analytics course with placements
    Live Free Webinars
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    Resume and LinkedIn Review Sessions
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    Lifetime LMS Access
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    24/7 Support
  • Supply Chain analytics certification
    Job Placements in Supply Chain Analytics Fields
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    Complimentary Courses
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    Unlimited Mock Interview and Quiz Session
  • best Supply Chain analytics training with placements
    Hands-on Experience in Live Projects
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Supply Chain Analytics Course Panel of Coaches

supply chain analytics course trainer - Bharani

Bharani Kumar Depuru

  • Areas of expertise: Data analytics, Digital Transformation, Industrial Revolution 4.0
  • Over 14+ years of professional experience
  • Trained over 2,500 professionals from eight countries
  • Corporate clients include Hewlett Packard Enterprise, Computer Science Corporation, Akamai, IBS Software, Litmus7, Personiv, Ebreeze, Alshaya, Synchrony Financials, Deloitte
  • Professional certifications - PMP, PMI-ACP, PMI-RMP from Project Management Institute, Lean Six Sigma Master Black Belt, Tableau Certified Associate, Certified Scrum Practitioner, AgilePM (DSDM Atern)
  • Alumnus of Indian Institute of Technology, Hyderabad and Indian School of Business
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supply analytics course trainer - sharath

Sharat Chandra Kumar

  • Areas of expertise: Data sciences, Machine learning, Business intelligence and Data visualisation
  • Trained over 1,500 professional across 12 countries
  • Worked as a Data scientist for 14+ years across several industry domains
  • Professional certifications: Lean Six Sigma Green and Black Belt, Information Technology Infrastructure Library
  • Experienced in Big Data Hadoop, Spark, NoSQL, NewSQL, MongoDB, R, RStudio, Python, Tableau, Cognos
  • Corporate clients include DuPont, All-Scripts, Girnarsoft (College-dekho, Car-dekho) and many more
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supply chain analytics course trainer - nithin

Nitin Mishra

  • Areas of expertise: Data sciences, Machine learning, Business intelligence and Data visualisation
  • Over 20+ years of industry experience in data science and business intelligence
  • Trained professionals from Fortune 500 companies and students at prestigious colleges
  • Experienced in Cognos, Tableau, Big Data, NoSQL, NewSQL
  • Corporate clients include Time Inc., Hewlett Packard Enterprise, Dell, Metric Fox (Champions Group), TCS and many more
Read More >
 
supply chain analytics certification course - 360digitmg

Certificate

Earn a certificate and demonstrate your commitment to the profession. Use it to distinguish yourself in the job market, get recognised at the workplace and boost your confidence. The Data Science in Supply Chain Certificate is your passport to an accelerated career path.

FAQs for Supply Chain Analytics Course Training

This course just assumes some basic computer familiarity and analytical mindset. It definitely helps if the learner has some background in supply chain, SQL and Programming languages such as Python and R.

This Supply Chain Analytics course is specifically catered to learners intending to either begin or advance their careers in the supply chain domain. As such, you will be exposed to highly relevant datasets in supply chain, transportation and logistics.

Relevant datasets to help develop SCOR model, facility and warehouse planning, transportation management etc.

Different organisations use different terms for data professionals. You will sometimes find these terms being used interchangeably. Though there are no hard rules that distinguish one from another, you should get the role descriptions clarified before you join an organisation.

There are plenty of jobs available for data professionals. Once you complete the training, assignments and the live projects, we will send your resume to the organisations with whom we have formal agreements on job placements.

We also conduct webinars to help you with your resume and job interviews. We cover all aspects of post-training activities that are required to get a successful placement.

After you have completed the classroom/online sessions, you will receive assignments through the online Learning Management System that you can access at your convenience. You will need to complete the assignments in order to obtain your data scientist certificate.

You will be attending 24 hours of classroom and/or virtual instructor-led sessions. After completion, you will have access to the Learning Management System for three months for recorded videos and assignments. Also you will have to spend another month after the classroom sessions to complete the live project.

If you miss a class, we will arrange for a recording of the session. You can then access it through the online Learning Management System.

We assign mentors to each student in this programme. Additionally, during the mentorship sessions, if the mentor feels that you require additional assistance, you may be referred to another mentor or trainer.

No, the cost of the certificate is included in the programme package.

With growing demand, there is a scarcity of data science professionals in the market. If you can demonstrate strong knowledge of data science concepts and algorithms, then there is a high chance for you to be able to make a career in this profession.

 

360DigiTMG provides internship opportunities through Innodatatics, our USA- based consulting partner, for deserving participants to help them gain real-life experience. This greatly helps students to bridge the gap between theory and practical.

Jobs in the field of Supply Chain Analytics

Jobs in the field of Supply Chain Analytics Course

The key jobs in Supply Chain Analytics in India are Demand Planner, Logistics Analyst, S&OP Planning, Supply Planner, Data Scientist, and Business Intelligence and Supply Chain Strategist. They help manage supply and demand, logistics, and supply Chain strategy.

Salaries for Supply Chain Analytics

Salaries for Supply Chain Analytics Professionals

The various skills needed in this field are Knowledge of Supply Chain Management, Data Analytics knowledge, Problem Solving Skills, and Analytical Skills. The average salary for a Sr. Supply Chain Analyst in India is ?7,59,030.

Supply Chain Analytics Course Projects

Supply Chain Analytics Course Projects

The various projects in supply Chain analytics undertaken in India are Demand Forecasting, Plan Compliance Analytics, SKU Rationalization, Capacity vs Demand Analytics, Supplier Risk Assessment, Asset Utilization Analytics, Resource Usage Analytics, Inventory Wastages Analytics, Logistics Analysis, Order Fill Analysis, and Sales Analysis

Role of Open Source Tools in Supply Chain Analytics Course

Role of Open Source Tools in Supply Chain Analytics

Common open-source tools that help you keep count of your inventory and the materials used in Supply Chain Management are Open boxes, Opentaps, Odoo, OFBiz, Frepple, xTuple, and OpenLMIS.

Modes of Training for Supply Chain Analytics Course

Modes of Training for Supply Chain Analytics Course

The course in India is designed to suit the needs of students as well as working professionals. We at 360DigiTMG give our students the option of both classroom and online learning. We also support e-learning as part of our curriculum.

Industry Application of Supply Chain Analytics Course

Industry Application of Supply Chain Analytics Course

Supply Chain Analytics can be applied to any industry that has a medium-sized supply Chain. Typical industries where it is used are Manufacturing, Engineering, Shipping, Oil & gas, Retailing, Automotive, Aeronautics, and FMCG.

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