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Certificate Course in

Machine Learning using Python and R

Become a Machine Learning specialist, gain holistic knowledge in ML algorithms. Orient yourselves with Black Box techniques like Neural Networks and Support Vector Machine.
  • 32 Hours Virtual or Self-paced Sessions
  • 40 Hours Streaming Hours & Coursework
  • 20 Hours Real-Time Industry Projects
  • Complimentary Python and R Programming Beginners Course
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machine Learning course - 360digitmg
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Calendar-for-Virtual Interactive Classes

Start Date

Machine Learning

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Total Duration

2 Months

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  • Computer Skills
  • Basic Mathematical Knowledge
  • Basic Data Science Concepts

Machine Learning Course Overview

Become a Machine Learning (ML) specialist with the Machine Learning using Python and R program in Malaysia. Gain holistic knowledge of ML algorithms and applications using the two most popular programming languages. Use Python and R to enable regression analysis and to build predictive models. Orient yourselves with Black Box techniques like Neural Networks and Support Vector Machine.


Machine Learning Training using Python and R programming includes an overview of analytical techniques used to manipulate massive amounts of data and then driving meaningful business insights from the same. The course module demonstrates the various techniques used to analyze structured and unstructured data, build advanced prediction models with Machine Learning algorithms and Data Visualization. The course is loaded with practical case studies that enable the participants to solve complex business problems and improve profitability in their companies.

What is Machine Learning?

Every time we create new technology, we create a bigger buzz. Two major technologies sweeping the market are Artificial intelligence (AI) and Machine learning (ML). Machine Learning is a subset of Artificial Intelligence that focuses on designing systems that enable a machine to perform tasks without explicit coding. All the Artificial Intelligence advancements we hear about and the applications we see are all a result of Machine Learning Algorithms. Machine-learning Algorithms use a huge amount of data and statistics to find patterns and inferences it collects from the statistical models and complex algorithms.

What is R?

R is primarily a statistical software developing tool specifically tailored for statistical computing as well as graphical processing of data. It is an interpreter-based language and is very popular across multiple industries. R is used for data analysis, statistical modeling, time series forecasting clustering, etc. CRAN (Comprehensive R Archive Network) repository is R’s biggest strength with 7700+ packages that are specialized for all sorts of data analytical needs.

What is Python?

Python has emerged as a high-level programming language suitable for a variety of tasks in machine learning. With its simple, easy to understand syntax clubbed with its edit-test-debug cycle makes it a popular choice among programmers. Python is used for developing software, management of infrastructure, and data analysis. The biggest asset of the language is its collection of libraries and frameworks which can be utilized for Machine Learning, Automation, , etc.

Machine Learning Training Outcomes

Machine learning aims to learn from data and then make precise predictions without having to be explicitly programmed. In this course, you will learn to design and implement machine learning solutions to solve the problems of classification, regression, and clustering. You will also learn to evaluate and interpret the results of the various machine learning algorithms. Machine learning programmers provide program services from the customized news feed to tailored web searches, they also build pipelines to connect with the data that enables the machine to learn and provide optimizing solutions for performance and scalability.


Students will also understand the popular machine learning approaches and the underlying mathematical relationships between the various algorithms. Students will explore the process of investigating data to solve predictive tasks, such as speech recognition, object recognition, Automatic algorithm configuration, time series forecasting, machine translation, and much more. This course will also give students a chance to understand the fundamental issues and challenges of machine learning which include data, model selection, and model complexity. This course in machine learning equips you with the necessary skills needed to excel in this field. By the end of the training program, you will


Become familiar with analyzing data, computing statistical measures along with Data Wrangling, Data Cleansing, Data Manipulation, etc.
Become familiar with Machine Learning algorithms including Black Box techniques such as Neural Networks and Support Vector Machine
Become familiar with Regression algorithms and the application of Python, R as statistical software in Machine Learning and Data Science
Build predictive models using Amazon Machine Learning Services
Be able to create Data Visualization, Data Manipulation in different forms and draw meaningful business insights from the underlying data

Block Your Time

machine learning course  -360digitmg

32 hours

Virtual or Self-paced Sessions

machine learning course -360digitmg

40 hours

Streaming Hours & Coursework

machine learning course -360digitmg

20 hours

Real-Time Industry Projects

Who Should Sign Up?

  • Candidates aspiring to be Data Scientist, Machine Learning Expert, Data Analyst, etc.
  • Employees of organizations
  • Managers with knowledge of basic programming and decision-makers
  • Graduates
  • Mid-level and Senior-level Executives
  • Data Science and Data Analytics Professionals

Certified Machine Learning Course Modules

This Module provides an easily understandable overview of machine learning. This training program in Machine learning facilitates an all-round development of knowledge that can be put to effective use to help organizations promote cognitive technology. In this course, you will learn about the two most popular programming languages used for Data Analysis, Machine Learning, and Artificial Intelligence. If you are a non-programmer, you will kick start your programming skills from this point. In this module, you will learn how to extract tables from traditional database MySQL using Python and R. You also will learn about the various functions and packages involved in Data Extraction. In this module, you will also learn about RStudio which is the primer IDE for R and understand why Python and the IDE are used by Data Analysts worldwide.

In this Programming tutorial, you will learn about the two most popular programming languages used for Data Analysis, Machine Learning and Artificial Intelligence. Learn to install Python and R on your systems (Windows, Mac, or Linux machine). You will learn about the CRAN repository and R packages. In this module, you will learn about RStudio which is the primer IDE for R. Understand Python and the IDE used by Data Analysts worldwide. Learn about the libraries commonly used in Python. If you are a non-programmer, you will kick start your programming skills from this point.

Data can be stored in various sources. Traditionally organizations store data in RDBMS databases. In this module, you will learn how to extract tables from traditional database MySQL using Python and R. You also will learn about the various functions and packages involved in Data Extraction.

Understand the holistic view of Machine Learning concepts. Learn about the Project Management of Machine Learning projects and various concepts for performing Descriptive Analytics, like EDA, Imputation, Visualizations, etc. As part of this module, participants will learn about the basics of Python and R. They will also learn the basic concepts of scripting Machine Learning algorithms.

Learn about inferential statistics and understand sampling. Learn about various sampling techniques as part of this module. In this module, you will also learn about Balanced Datasets. In the real world, data sets are largely imbalanced. Learn to deal with Imbalanced Datasets using advanced Data Analytics techniques.

Descriptive analytics will explain the historical events that have occurred. Learn to perform statistical calculations on data, to find patterns and anomalies, to derive insights for the business. Understand the various functions and packages used to perform statistical computing using Python and R. Learn how Data visualizations can help tell stories using plots. In this module, you will also learn about various visualization techniques for Uni-variate and Bi-variate Data Analysis.

Machine Learning is used for performing predictions on data. To develop an appropriate model, discerning underlying patterns in the data is of paramount importance. As part of descriptive analytics, you will learn about various data manipulation techniques to preprocess the data. These techniques will help you identify patterns in the data. Learn about Imputation techniques, Feature Engineering, Data Wrangling, Data Modification techniques like transformations and normalization using Python and R.

Machine learning is a process of training the machine to understand a pattern and define a mathematical equation that explains the relationship between dependent and independent variables. Python and R are functional oriented programming languages that use packages or libraries that provide functions to perform training on the business data. In this module, you will learn about various functions and libraries which are used to perform Descriptive and Predictive Analytics.

Data Mining is a process of analyzing data using mathematical concepts to uncover hidden facts from data. Use Python and R Programming to develop a wide variety of Machine Learning algorithms. Understand the implementation and evaluation of ML techniques by understanding measures of Error (RMSE). Learn about problems like Heteroscedasticity, Overfitting and Underfitting, Imbalance in the data and solving them using Python and R functions.

Learn about the interpretable techniques to perform predictive analytics. Understand how to perform Regression analysis on numeric dependent variables. Learn to decode the relation between dependent and independent variables using correlation analysis and scatter diagram. Understand why Causation cannot be estimated using Correlation. Learn about the packages used in Python and R for training Regression models. Learn about model accuracy improvement techniques. In this module, you will learn about the Confusion matrix and conditions of confusion matrix which are used to evaluate the binary classification logistic regression model.

The most commonly used rules-based algorithms, Decision tree, and Random forest are used for classifying dependent variables. In this tutorial, learn about the nodes used to create rules in Decision trees. Understand the information calculation using entropy to create pure classes in Decision tree analysis. Learn about pruning and its necessity. Understand the ensemble techniques for Decision Tree examples and learn about the Random forest algorithm.

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Machine learning course using python in Malaysia
Machine Learning course using r in Malaysia

Course Fee Details

Online Interactive Sessions
Mode of training: Live Online

100% HRD Corp claimable courses

6 Months : Learning Management System Access

MYR 2,900

Minimum instalments cost starting from: MYR 1,044

2145 Learners

913 Reviews

Employee Upskilling
Mode of training: Onsite or Live Online

100% HRD Corp claimable courses

6 Months : Learning Management System Access

Corporate Group Discounts(Minimum 15 participants per batch for Onsite training)

2145 Learners

913 Reviews

Payment Accepted

All prices are applicable with 8% taxes.

How We Prepare You
  • Machine Learning course in malaysia
    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 Access to LMS
  • Machine Learning course in malaysia
    Job Assistance in Machine Learning Fields
  • Machine Learning course in malaysia
    Complimentary Courses
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    Unlimited Mock Interview and Quiz Session
  • Machine Learning course in malaysia
    Hands-on Experience in a Live Project
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Machine Learning Tutorial 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
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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
Read 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
Read More >
machine learning using python & r certification - 360digitmg


Get validation of your advanced skills and knowledge with the Machine Learning using Python &R certificate. Join the growing community of developers and data scientists trained on Python and R.

**All certificate images are for illustrative purposes only. The actual certificate may be subject to change at the discretion of the Certification Body.

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Alumni Speak

Nur Fatin

"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

Associate Data Scientist

Thanujah Muniandy

"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

Ann Nee, Wong

"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

Mohd Basri

"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

Ashner Novilla

"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 on Machine Learning Training Course

Yes.You will get a certificate at the end of the course from 360DigiTMG.

The most popular tools Python and R and their Machine learning packages like sklearn and various other R packages will be covered in the course. These tools can be used to write Machine Learning algorithms, Neural Network techniques and Predictive Modelling with Regression Analysis.

Jobs in field of Machine Learning Course in malaysia

Jobs in Field of Machine Learning in Malaysia

With training in Machine learning from Malaysia you will be able to work as a Machine Learning Engineer, Data Scientist, NLP Scientist, Business Intelligence Developer, Human-Centered Machine Learning Designer, the list is endless.

Salaries in Malaysia for Data Scientist

Salaries in Malaysia for Machine Learning

The rise in the demand for ML professionals and Data engineers across the globe have led to companies hunting for professionals with machine-learning knowledge. The average salary for a Machine Learning Engineer in Malaysia is RM 61,989.

Machine Learning Course Projects in Malaysia

Machine Learning Projects in Malaysia

It’s always a plus to have hands-on experience in any technology you are working on. There are many projects one can work on using Machine Learning like Loan Prediction, Stock price prediction, Wine quality tests, Uber data analysis, Credit card fraud detection, etc.

Role of Open Source Tools in Machine Learning course

Role of Open Source Tools in Machine Learning

The various tools in machine Learning help you work efficiently with data to derive valuable insights, discover new methods to train your model, and create new algorithms. In this course, we will use the various tools offered in Python and R for Machine Learning.

Modes of training for Machine Learning Course

Modes of Training for Machine Learning

The course in Malaysia 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 Machine Learning Course

Industry Application of Machine Learning

Today we use Machine Learning applications across various domains and the interesting features of Machine Learning have become the heart of many platforms. In the healthcare sector, we use it for drug discovery, in finance for fraud detection, in travel for pricing, in social media for implementation of various applications.

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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