Supply Chain Analytics Certificate Course
This course now carries AI in Supply Chain & Inventory Analytics.
A self-paced add-on. This renamed programme continues to be offered.
Malaysia training provider: 360DigiTMG Sdn Bhd (MyCoID 1265527-M).
- 24 programme training hours
- 40 Hours Streaming Hours & Coursework
- 20 Hours Real-Time Industry Projects
Academic Partners & International Accreditations
Supply Chain Analytics
Total Duration
3 Months
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
- 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
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.
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.
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
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.
Tools Covered
GenAI assistants and models
- ChatGPT
- Claude
- Gemini
- Llama
- Perplexity
AI-assisted and vibe coding
- GitHub Copilot
- Cursor
- Claude Code
- Replit
Agentic AI frameworks
- LangChain
- Hugging Face
- Ollama
Zero-code AI automation
- n8n
- Zapier
- Make
Deploy and MLOps
- MLflow
- Streamlit
- Docker
- Databricks
- AWS
- Google Cloud
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.
How We Prepare You
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Additional Assignments of over 60+ hours
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Live Free Webinars
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Resume and LinkedIn Review Sessions
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6 Months LMS Access
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Complimentary Courses
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Hands-on Experience in Live Projects
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Life Time Free Access to Industry Webinars
Call us Today!
+60 19-383 1378Supply Chain Analytics Program Panel of Coaches
Bharani Kumar Depuru
- Areas of expertise: Data analytics, Digital Transformation, Industrial Revolution 4.0
- Over 18+ years of professional experience
- Trained over 2,500 professionals from eight countries
- Corporate clients include Deloitte, Hewlett Packard Enterprise, Amazon, Tech Mahindra, Cummins, Accenture, IBM
- Professional certifications - PMI-ACP, PMI-RMP from Project Management Institute, Lean Six Sigma Master Black Belt, Tableau Certified Associate, Certified Scrum Practitioner, (DSDM Atern)
- Alumnus of Indian Institute of Technology, Hyderabad and Indian School of Business
Sharat Chandra Kumar
- Areas of expertise: Data sciences, Machine learning, Business intelligence and Data
- Trained over 1,500 professional across 12 countries
- Worked as a Data scientist for 18+ 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, Python, Tableau, Cognos
- Corporate clients include DuPont, All-Scripts, Girnarsoft (College-, Car-) and many more
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Bhargavi Kandukuri
- Areas of expertise: Business analytics, Quality management, Data
visualisation with Tableau, COBOL, CICS, DB2 and JCL - Electronics and communications engineer with over 19+ years of industry experience
- Senior Tableau developer, with experience in analytics solutions development in domains such as retail, clinical and manufacturing
- Trained over 750+ professionals across the globe in three years
- Worked with Infosys Technologies, iGate, Patni Global Solutions as technology analyst
Certificate
Alumni Speak
"Coming from a psychology background, I was looking for a Data Science certification that can add value to my degree. The 360DigiTMG program has such depth, comprehensiveness, and thoroughness in preparing students that also looks into the applied side of Data Science."
"I'm happy to inform you that after 4 months of enrolling in a Professional Diploma in Full Stack Data Science, I have been offered a position that looks into applied aspects of Data Science and psychology."
"360DigiTMG’s Full Stack Data Science programme equips its graduates with the latest skillset and technology in becoming an industry-ready Data Scientist. Thanks to this programme, I have made a successful transition from a non-IT background into a career in Data Science and Analytics. For those who are still considering, be bold and take the first step into a domain that is filled with growth and opportunities.”
"360DigiTMG is such a great place to enhance IR 4.0 related skills. The best instructor, online study platform with keen attention to all the details. As a non-IT background student, I am happy to have a helpful team to assist me through the course until I have completed it.”
"I think the Full Stack Data Science Course overall was great. It helped me formalize and think more deeply about ways to tackle the projects from a Data Science perspective. Also, I was remarkably impressed with the instructors, specifically their ability to make complicated concepts seem very simple."
"The instructors from 360DigiTMG were great and it showed how they engaged with all the students even in a virtual setting. Additionally, all of them are willing to help students even if they are falling behind. Overall, a great class with great instructors. I will recommend this to upcoming deal professionals going forward.”
Our Alumni Work At
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FAQs for Supply Chain Analytics Program
This course just assumes some basic computer familiarity and analytical mindset. It definitely helps if the learner has some background in supply chain management, SQL and Programming languages such as Python and R.
This course is specifically catered to learners intending to either begin or advance their careers in the supply chain management domain. As such, you will be exposed to highly relevant datasets in supply chain management, 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.
After you have completed the classroom 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 hrs 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 practice.
Salaries for Supply Chain Analytics Professionals
Supply Chain Analytics Course Projects
To promote Supply chain Analytics excellence, numerous innovative projects are ongoing in the sectors that include Transportation, Retail, and Automobiles.
Role of Open Source Tools in Supply Chain Analytics
SAS, Tableau, Python, Cognos, Kinaxis, Targit, Ariba, and various analytical tools are used for Supply chain Management.
Modes of Training for Supply Chain Analytics Course
360DigiTMG offers 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
Supply chain Analytics has a cascading impact on every industry like Manufacturing, Retail, Health care, Agriculture, Pharmacy, Transportation, Financial, Insurance, Automotive Industry, and many more.
Companies That Trust Us
360DigiTMG offers customised corporate training programmes that suit the industry-specific needs of each company. Engage with us to design continuous learning programmes and skill development roadmaps for your employees. Together, let’s create a future-ready workforce that will enhance the competitiveness of your business.
Student Voices
Sana Ahsan
5 years ago
Suriyaa Kumar
5 years agoI attended the Certification in Data Science program by 360DigiTMG. The course was amazing. I had a great learning & networking experience. Also, trainers are highly experienced and knowledgeable in the field of Data Science. I will recommend this course to anyone who wants to become a Data Scientist.
Asyraaf Afandi
5 years agoI joined the Data Science Certification Program which is a great place to learn if you want to start your career in the Data Science industry. The trainers are very knowledgeable and will try to explain the topics until you truly understand it. I would definitely recommend others to join it.
Iqmal Harris
5 years agoThe courses are taught by seasoned industry experts who know how to train absolute beginners and established professionals alike. Glad to have trained under 360DigiTMG.
Zarif Iqram
4 years agoI worked on a Survival Analysis project, which gave me good exposure and boosted my skill set in Business Intelligence with Power BI. Good to have it more and be involved in the real-time projects.
360DigiTMG - Data Science, IR 4.0, AI, Machine Learning Training in Malaysia
Level 16, 1 Sentral, Jalan Stesen Sentral 5, Kuala Lumpur Sentral, 50470 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
Data Science Certification Course Training in Other Locations - Data Science Training in Malaysia, Data Science Training in Malaysia, Data Science Certification in Malaysia, Data Science Institute in Malaysia, Data Science in Kuala Lumpur, Data Science in Penang, Data Science in Johor, Data Science in Hyderabad, Data Science in Bangalore, Data Science Malaysia, Data Scientist Malaysia, Data Scientist Course Malaysia, Data Science is a way of communicating insightful information that is hiding under mountains of data. Data science is the voice for numbers to spill out valuable information that is vital and meets the empirical demands of businesses today.
What stood out most was the programme's practical and structured approach to AI adoption. The industry-specific examples, combined with clear frameworks for evaluating feasibility and designing solutions, made the learning highly relevant to our business.
What stood out most was the trainer's simple way of explaining Data Science and GenAI, and showing us different AI tools that I had not used before. It made me realise how useful these tools can be in our daily work.
