Certificate Course in
Manufacturing and Automotive Analytics Program
- 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
"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”.
- 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.
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Who Should Sign Up?
- Manufacturing Analysts
- Mechanical Engineers
- Electrical & Electronic Engineering
- Plant Managers
- Design and Manufacturing Engineers
- Certified Financial Analysts
- Automotive Engineers
- Industry Heads
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.
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.
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
How We Prepare You
Additional Assignments of over 100+ hours
Live Free Webinars
Resume and LinkedIn Review Sessions
6 Months LMS Access
Job Assistance in Manufacturing Analytics Fields
Unlimited Mock Interview and Quiz Session
Hands-on Experience in Live Projects
Life Time Free Access to Industry Webinars
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