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Manufacturing and Automotive Analytics

Certificate Program in Manufacturing Analytics will boost your chances of staying ahead in the competition. Acquire the essential skills for industry requirements including Analytics, ML, and AI.
  • Get Trained by Trainers from ISB, IIT & IIM
  • 40 Hours Hybrid Sessions (Virtual & Self-paced)
  • 40 Hours Streaming Hours & Coursework
  • 20 Hours Real-Time Industry Projects
  • 100% Job Assistance
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manufacturing analytics course - 360digitmg
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manufacturing analytics course reviews - 360digitmg
2073 Learners

Academic Partners & International Accreditations

"Conditions are ideal for Manufacturing Intelligence to scale with Malaysia eyeing a growth of up to $30.1 billion for its manufacturing sector over the next decade." - (Source). For 20 years, Malaysia’s manufacturing sector has onboarded robotics, precision engineering, and software programs. To build a strong manufacturing base, Malaysia is adopting the Industrial revolution 4.0 (I R 4.0), Artificial intelligence, and robotics.

 

Companies are coming forward to adopt these technologies to innovate and stay ahead of the other companies and achieve better profit, success, and improved production. Many Malaysian companies are incorporating these innovative technologies in research and development, engineering design, and manufacturing for global exports. Malaysian Investment Development Authority (MIDA) is carrying out a detailed study on the topic “Future of manufacturing”.

 

Manufacturing Analytics

manufacturing analytics course duration- 360digitmg

Total Duration

3 Months

manufacturing analytics course pre-requisite - 360digitmg

Prerequisites

  • Computer Skills
  • Basic Mathematical Concepts

Manufacturing Analytics Programme Overview

The applications and the platforms developed using these technologies are helping manufacturers with new business models, fine-tune their product quality, optimize manufacturing operations, etc. The Manufacturing Analytics program is specially designed for working professionals & students from Mechanical, Electrical, Electronics & Communication, Automotive, Manufacturing educational background as well as experience. Manufacturing analytics provides a new dimension and plethora of opportunities for those who want to stay ahead of the race and competition. 360DigiTMG offers personalized mentorship and delivers the course with trainers who have exceptional experience in training. Individual attention is guaranteed.

Manufacturing Analytics Learning Outcomes

360DigiTMG offers the best Manufacturing Analytics course in Malaysia. Students will get acquainted with the latest technologies from this course. The primary objective of this course is to prepare the workforce for the industries. Through this program, students will learn thoroughly about various tools and techniques to analyze structured and unstructured data. Able to differentiate descriptive and predictive analysis, will perform text mining to generate customer sentiment analysis. Learn to predict and design models and be able to apply Machine learning capabilities. Will gain knowledge on the applications of prime tools like Pig, Hive, Spark, and Hadoop. Understand the advantages of distributed batch processing by the Hadoop Distributed file system. By the end of this course, students will be able to forecast proactive business decisions and write programs in the Big Data domain as per the system architecture.

 

  • Learn about the tools and techniques used to analyze structured and unstructured data
  • Understand the differences between Descriptive and Predictive Analytics
  • Perform text mining to generate customer sentiment analysis
  • Use data-driven, Machine Learning approaches for business decision-making
  • Build prediction models for day-to-day applicability
  • Perform forecasting to take proactive business decisions
  • Learn Data Visualization concepts to represent data in suitable formats
  • Install and setup Hadoop and Spark environments to store and process data
  • Understand the advantages of distributed batch processing using the Hadoop Distributed File System
  • Learn about Hadoop 1.x, 2.x and 3.x versions
  • Perform exploratory queries on data batches using Pig, Hive, and Spark
  • Learn Spark RDD optimization techniques
  • Write programs in the Big Data domain as per the system architecture

Manufacturing Analytics Course Modules

The modules of manufacturing Analytics are designed as per the latest industry trends. Students are exposed to various prime technologies and their applications. The primary module explains the basics of the manufacturing process, giving insights about Manufacturing Readiness Level (MRL). The applications of Artificial Intelligence, Machine learning, and Data Science in Manufacturing. Learn about text mining, AI-driven automated quality assurance, video analytics to track attendance and behavior. Understand the fundamentals of Industrial Revolution 4.0 (IR 4.0) and it's capabilities, wireless sensor networks, the purpose of IIoT sensors, and wireless sensors in manufacturing.

 

This module promotes in-depth knowledge to students about Big Data, its approaches in Manufacturing. Students will be introduced to Hadoop, collection of data, storage of data, processing of data with crucial tools that include Spark and Hadoop. Learn about the survival duration analytics which helps to predict the survival time of machine components, this information is much needed to invent new designs based on the logistics. Learn about Text mining and Natural language processing which guides to build various new products as per the customer’s requirements.

 

 

Artificial Intelligence with machine learning is ruling the automotive sector. Self-driven cars are the new boom. There are many opportunities in this sector. Learn about the concepts that include Perceptron, ANN, CNN and RNN algorithms, Perceptron, ANN, CNN, and RNN algorithms, Sharpen and blur images with convolution and detect edges in images with Sobel, Laplace, and Canny, Extract image features with HOG and detects object corners with Harris Computer Vision techniques via OpenCV to identify lane lines for a self-driving car, Convolutional neural networks to identify various traffic signs. Students will be able to design smart products that are cost-effective and able to design smart factories. Hands-on training experience enables them to gain confidence in handling the business challenges. Apart from these concepts, many important concepts will be elaborated.

 

1. Data Science Foundation Module

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.

2. Manufacturing and Automotive Analytics Module

1. Manufacturing 101

2. Machine Learning Primer

3. Deep Learning Primer

4. Applications of AI and Data Science in Manufacturing Sector

5. Introduction to Smart Manufacturing using IIoT

6. Machine Learning for Prediction of Yield

7. Analysis for Plant Operation using Unsupervised Learning

8. Power Consumption Analytics for a Manufacturing plant

9. Network Route Optimization

10. Machine Breakdown Prediction

11. Survival Analytics of Machinery

12. Customer Feedback & Sentiment Analysis

13. Employee Strike Prediction

14. Demand Forecasting

Tools Covered

  • Manufacturing analytics course using python
  • Manufacturing analytics training using r programming
  • Manufacturing analytics training using r studio programming
  • Manufacturing analytics training with jupyter

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

Manufacturing Analytics Trends in Malaysia

Many innovative and productive trends are going to be launched shortly soon. Few of them include the development of IoT in Manufacturing. The manufacturing department will greatly benefit from high-speed connectivity as most of the companies would rely on automation and Big Data Analytics. 5G networks are emerging and offering new opportunities to generate revenue. With the help of Edge computing and IoT, many edge devices are being deployed like IoT sensors, security cameras, smartphones, etc enabled with compact 5G network. This innovation will reduce costs and improve production efficiency. Another trend is Predictive maintenance effective equipment which will be a solution to many manufacturers.

The interesting feature of predictive maintenance is that it can predict the issues raised by failure in the machinery or caused by a disruption in the operations. By Predictive maintenance for Industry 4.0, the lifetime of machinery can be increased by optimizing and analyzing the patterns of the data and minimize the risks. Predictive analytics is incredibly important in the manufacturing sector as it reduces expenses This predictive analytics will save up to $640billion in the manufacturing industry coming 15 years as per sources. Digitization is completely transforming the market, it needs people who have advanced analytics skills in Manufacturing. Many manufacturing companies are in search of a workforce connected with augmented technology and advanced skills

Course Fee Details

Online Interactive Sessions
Mode of training: Live Online

100% HRD Corp claimable courses

6 Months : Learning Management System Access

MYR 2,200

Minimum instalments cost starting from: MYR 792

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Learners 2073 Learners

Rating 461 Reviews

Employee Upskilling
Mode of training: Onsite or Live Online

100% HRD Corp claimable courses

6 Months : Learning Management System Access

Corporate Group DiscountsUp to 30% for 3 participants & above

Learners 2073 Learners

Rating 461 Reviews

Payment Accepted

Payment Accepted

All prices are applicable with 8% taxes.

How We Prepare You

  • Manufacturing analytics training with placements
    Additional Assignments of over 100+ hours
  • Manufacturing analytics course with placements
    Live Free Webinars
  • automotive analytics training
    Resume and LinkedIn Review Sessions
  • automotive analytics course with certification
    6 Months LMS Access
  • automotive analytics certification
    Job Assistance in Manufacturing Analytics Fields
  • best Manufacturing analytics course
    Complimentary Courses
  • best Manufacturing analytics course training
    Unlimited Mock Interview and Quiz Session
  • best Manufacturing analytics training with placements
    Hands-on Experience in Live Projects
  • Manufacturing analytics course
    Life Time Free Access to Industry Webinars

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Manufacturing Analytics program Panel of Coaches

Artificial Intelligence & Deep Learning Course Training -360digitmg

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 - PMP, 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
Artificial Intelligence & Deep Learning Course Training -360digitmg

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
Artificial Intelligence & Deep Learning Course Training - 360digitmg

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

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

manufacturing analytics course certificate - 360digitmg

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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."

Nur Fatin

Nur Fatin

Associate Data Scientist

"360DigiTMG has an outstanding team of educators; who supported and inspired me throughout my Data Science course. Though I came from a statistical background, they've helped me master the programming skills necessary for a Data Science job. The career services team supported my job search and, I received two excellent job offers. This program pushes you to the next level. It is the most rewarding time and money investment I've made-absolutely worth it.”

Thanujah Muniandy

Thanujah Muniandy

"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.”

Ann Nee, Wong

Ann Nee, Wong

"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.”

Mohd Basri

Mohd Basri

"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.”

Ashner Novilla

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FAQs for Manufacturing Analytics Program

This course just assumes some basic computer familiarity and an analytical mindset. It definitely helps if the learner has some background in financial data analysis, SQL and Programming languages such as Python and R. Knowledge of manufacturing industry is expected for better understanding.

This course is specifically catered to learners intending to either begin or advance their careers in the Manufacturing industry.

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.

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 AiSPRY, 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.

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 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 16 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.

Jobs in the Field of Manufacturing Analytics in Malaysia

Jobs in the Field of Manufacturing Analytics in Malaysia

Job titles available in the field of Manufacturing will be Manufacturing Analyst, Data Engineer, Data Scientist, Data Architect, Solution Architect, Manufacturing Scientist, Predictive Analyst, Production planner.

Salaries in Malaysia for Manufacturing Analytics

Salaries in Malaysia for Manufacturing Analytics

The average salary at entry-level will be RM 28k,mid-career RM 52,599, and for experienced RM 59,485 in Malaysia. This varies according to the roles and responsibilities.

Manufacturing Analytics Projects in Malaysia

Manufacturing Analytics Projects in Malaysia

In Malaysia, there are 165 projects to date to manufacture robotics and automation for different industries. These projects include designing specialized machinery for material handling and food and beverage processing and packing. Investment is approximately RM 5 billion in these industries.

Role of Open Source Tools in Manufacturing Analytics

Role of Open Source Tools in Manufacturing Analytics

Manufacturing Analytics is operated with tools named Python, R, Jupyter, R studio, and Spark. Students will be exposed to the fundamentals and applications of the prime tool Hadoop.

Modes of training for Manufacturing Analytics

Modes of Training in Manufacturing Analytics

360DigiTMG offers students the option of both classroom and online learning. We also support e-learning as part of our curriculum.

Industry Application of Manufacturing Analytics

Industry Applications of Manufacturing Analytics in Malaysia

Manufacturing Analytics has great potential in industries like Automation, Health care, Transportation, Pharma, Retail, Life Insurance, Banks, and Financial Services.

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.

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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

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