Certificate Program in

Supply Chain Analytics

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
16 Hours of Intensive Classroom & Online Sessions
24+ Hours of Practical Assignments
2 Capstone Live Projects
100% Job Placement Assistance

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Academic Partners & International Accreditations

"Increasing volume and velocity of data are driving the market size of the supply chain analytics which is expected to grow to $7.2 billion by 2023." - (Source). According to Malaysia’s budget for the year 2020, the government has announced that to boost Malaysia’s investment numbers, by enhancing the country’s position in the global supply chain. The Government has released the fund up to RM1 billion, to develop the country’s economy globally. The finance minister said that this will create 100,000 jobs in supply chain management in the coming 5 years. Every business is developing with technology and is keen on adopting supply chain Analytics. Supply chain Analytics plays a crucial role in the company’s profitability and cost structure. So, companies are looking out for the skilled supply chain professionals who are resilient, agile, proactive, and can build the business with their valuable insights.

Supply Chain Analytics

Total Duration

1 Month

Prerequisites

Computer Skills
Basic Mathematical Concepts
Supply Chain Fundamentals

Supply Chain Analytics Course Overview in Malaysia

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 applies to the supply chain - make and source, sell, move. 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 Chain Analytics

Supply chain analytics is the ability to analyze the huge amount of data and deliver the relevant data to make data-driven decisions. Supply chain Analytics helps business for the smooth flow of operations and enhances profits. Supply chain analytics are of different types- Predictive Analytics, Descriptive Analytics, Prescriptive Analytics, and Cognitive Analytics.

Supply Chain Analytics Training Outcomes

The Supply Chain Analytics Course in Malaysia is an exciting area that is boosting at present. Students will know the market trends and job opportunities specific to a region, and Industry. From this course, students will learn the applications of analytics in various domains which are dependent on the supply chain. Students will learn to use data analytics in managing transportation. Understand extensively about the concepts of Artificial Intelligence and Machine learning. Will get acquainted with Industrial Revolution 4.0 and know the applications of Supply chain Analytics with real-time projects. Students will be trained by industry experts and will be exposed to hands-on training. This course will help students/professionals to grab lucrative opportunities in the market.

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

16 hours

Classroom Sessions

24 hours

Assignments &
e-Learning

16 hours

Live Projects

Enroll Now

Who Should Sign Up?

Data and Analytics Managers
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

The Modules of Supply Chain Analytics focuses on business trends and helps students to enrich their knowledge. The curriculum is built by industry experts with real-time use cases. The modules introduce the concepts of Artificial Intelligence and Data Science and their applications in Supply chain Analytics. Understand different types of Supply chain Analytics and its capabilities. Learn about Supply chain management and its importance in escalating production in the business. Understand Operations, optimization, and Simulation. Learn more about the measures of performance that include- ROE, APT, ART, INVT, PPET. This course consists of modules that introduce Transportation management in the Supply chain and applications of Machine learning. Students will have the opportunity to learn about the Neural networks and time series analysis. Along with this, they will learn about Forecasting concepts. Students will gain adequate skill sets required as per the market trends. By hands-on training and mentorship by industrial experts, students will learn to make high-level decisions that will help the business to drive productively and gain competitive advantage among their peers.

1. Data Science Foundation Module

1. Data Science – Project Management Methodology

Get about, CRISP - ML(Q) the perfect Project Management Methodology used for handling Data Mining projects. Understand the entire process flow including Business Problem definition, Data Collection, Data Cleansing, Feature Engineering, Feature Selection, Model Building, Deployment and Maintenance. Get introduced to the principles of big data and learn about the opportunities being created. Understand about how Data is generation and explosion of data, Innovations in the space of analytics. Learn how to distinguish between data types, Exploratory data analysis, the Various moments of Business decisions and various Graphical techniques. Learn about probability and probability distribution namely Z distribution and Student's t-distribution.

2. Hypothesis Testing and Simple Linear Regression

Learn about Hypothesis testing, the many Hypothesis testing Statistics, work with the Null Hypothesis & Alternative hypothesis and Types of hypothesis testing. Interpret the results of Hypothesis test and probabilities of Alpha error, understand Type I and Type II errors. Get introduced to Linear regression, various components of Linear regression viz regression line, Linear regression equation, the concept of Ordinary Least Square. Get introduced to Linear regression analysis, and Linear regression examples

3. Data Science – Multiple Linear Regression, Regression of Attribute & Count Data

Understand the Linear regression in a multivariate scenario, understand collinearity and how to deal with it. Get introduced to the analysis of Attribute Data, understand the principles of Logistic regression, Binary Logistic regression analysis. Learn about the Multiple Logistic regression, Probability measures, and its interpretation. Get clarity on the confusion matrix and its elements. Get introduced to “Cut off value” estimation using AUC and ROC curve, understand False Positive Rate, False Negative Rate, Sensitivity, Specificity. Gain a birds-eye view to various advanced regression techniques and analysis of count data namely Poisson regression, Negative binomial regression. Learn when to use Poisson regression and negative binomial regression for predicting count data.

2. Supply Chain Analytics Module

1. Supply Chain 101

2. Application of Data Science & AI in Supply Chain

3. Operations Research Primer – Optimization & Simulation

4. Introduction to Supply Chain Analytics

5. Supply Chain Operations Reference (SCOR) Model

6. Supply Chain Measures of Performance - ROE, ROA, APT, ART, INVT, PPET

7. Designing a Robust Supply Chain Network

8. Transportation Management in Supply Chain

9. Machine Learning in Modelling Discrete Choices

10. Coordination in Supply Chain under Uncertainty

11. Neural Networks in Supply Chain

12. Time Series Analysis/Forecasting in Supply Chain

Supply Chain Analytics Course Trends in Malaysia

As technology is evolving, the latest trends and technologies crop up frequently. Supply chain Analytics in Malaysia is emerging significantly and for companies, it is crucial to understand the benefits and use them to achieve their business goals. Let’s know the recent trends in Supply chain Analytics. The Internet of Things has immense potential, as devices from Smartphones to Tablets are connected with the Internet. IoT in supply chain analytics helps companies to draw the relevant data in real-time from products connected with IoT and can predict the cons and pros more accurately. A massive amount of data is generated with supply chain management. As industries are escalating by adopting new technologies, this massive data with the help of big data analytics is converted into smart data.

This enables companies to make data-driven decisions and solve complex problems. Another interesting trend is the Hybrid supply chain strategy. This strategy is being adopted by big companies as it facilitates improved supply chain analytics. It will aid companies to predict complications accurately and to act efficiently to the unexpected ones. Artificial Intelligence has diverse applications in Supply chain Analytics for instance in Robotics and automation. It is flexible and cost-effective. The latest robots assist workers in repetitive and challenging tasks. Another evolving technology is Wearable devices combined with Cloud technology. It helps companies to know about their product demand, analyze the data. They can keep track of their manufactured, stored, distributed products quickly and effectively.