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Home / MLOps / Machine Learning using Python & R
Certificate Course in
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Total Duration
2 Months
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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 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
Block Your Time
32 hours
Virtual or Self-paced Sessions
40 hours
Streaming Hours & Coursework
20 hours
Real-Time Industry Projects
Who Should Sign Up?
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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The demand for machine learning jobs in Malaysia outstrips the supply. There is a mad rush to learn Machine Learning using Python and R and a number of institutes for machine learning have mushroomed in Malaysia. These institutes conduct numerous workshops on machine learning with Python and R. One of the most reliable training institutes is 360DigiTMG. 360DigiTMG offers a course titled "Machine Learning with Python and R". The training includes understanding the entire Machine Learning Project life-cycle as well as understanding various machine learning algorithms ranging from Decision Tree to Ensemble models. 360DigiTMG is one of the premium training institutes which also offers machine learning internship opportunities in Malaysia.
Malaysia, a small country in South East Asia is firmly placed on the global map for its many historical and technological marvels, chief among them, being the Petronas Towers. At the time of its completion, it was the tallest structure in the world. Petronas is one of the largest and most profitable conglomerates based out of Malaysia having varied business interests in the petroleum sector. Many organizations in Malaysia are relying on the power of Machine Learning to make predictive business decisions. There are very lucrative career opportunities for professionals trained in Machine Learning and Artificial Intelligence. Python and R are the preferred programming languages in Malaysian IT circles.
360DigiTMG’s Machine Learning course in Malaysia is specifically designed to provide students with a deep understanding of machine learning algorithms and their practical applications. The course covers key topics such as supervised and unsupervised learning, regression models, neural networks, and deep learning techniques, all taught using Python and R. Students are encouraged to apply their learning through hands-on projects and real-world case studies, ensuring they gain valuable experience that is essential for a successful career in machine learning.
The Machine Learning certification in Malaysia offers a comprehensive curriculum that blends theoretical knowledge with practical expertise. As part of the training, students have access to an array of resources, including webinars, workshops, and industry journals, which help them stay informed about the latest advancements in machine learning. Through internships and live projects, students can build their portfolios and gain industry exposure, preparing them for job opportunities upon completion. The program also includes resume optimization services to help students present their skills in the best light to potential employers.
In addition to the high-quality education, 360DigiTMG’s Machine Learning training in Malaysia offers career support and networking opportunities. Students can leverage the institute’s active social media presence and online communities to interact with industry professionals, attend relevant webinars, and stay updated on the latest industry trends. The training is designed to ensure that students not only master machine learning concepts but also develop the practical skills needed to excel in the fast-growing field. Through continuous support and access to essential resources, learners are well-prepared to take on roles in machine learning and artificial intelligence.
100% HRD Corp claimable courses
6 Months : Learning Management System Access
Minimum instalments cost starting from: MYR 1,044
2145 Learners
913 Reviews
Corporate Group Discounts(Minimum 15 participants per batch for Onsite training)
All prices are applicable with 8% taxes.
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+60 19-383 1378
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Bharani Kumar Depuru
Sharat Chandra Kumar
Bhargavi Kandukuri
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.
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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
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
"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
"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
"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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And more...
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.
Machine Learning automates decision-making using data. Python offers scalability, ease of use, and extensive libraries like TensorFlow and scikit-learn. R excels in statistical computing and visualization with packages like caret and ggplot2. Together, they provide powerful tools for handling diverse Machine Learning tasks across industries like healthcare, finance, and e-commerce.
Python is versatile and ideal for production-level applications, offering extensive support for machine learning frameworks. R focuses on statistical analysis, data visualization, and research. Python suits general-purpose programming, while R specializes in analytical tasks, making them complementary for Machine Learning projects.
No, mastering one is sufficient for most applications. Python is recommended for production, automation, and scalability, while R is preferred for statistical modeling and visualization. Learning both expands your skill set, offering flexibility for diverse Machine Learning and data analysis tasks.
Basic programming knowledge in Python or R, understanding of mathematics (linear algebra, calculus, and statistics), familiarity with data handling, and analytical problem-solving skills are crucial for learning and applying Machine Learning effectively.
Key Python libraries include scikit-learn for algorithms, TensorFlow and Keras for deep learning, Pandas and NumPy for data manipulation and computations, and Matplotlib/Seaborn for visualizations. These libraries streamline the Machine Learning process.
Caret simplifies model training and evaluation. Random Forest handles classification tasks, while net supports neural networks. The mlr package provides end-to-end Machine Learning workflows, and ggplot2 excels in creating detailed visualizations.
Yes, tools like RPy2 enable integration of Python and R, combining Python’s scalability and Machine Learning frameworks with R’s statistical and visualization capabilities for comprehensive data solutions.
Machine Learning professionals in Malaysia find opportunities as Data Scientists, AI Specialists, and ML Engineers in industries like finance, healthcare, and e-commerce, driven by the increasing demand for data-driven solutions.
360digitmg provides cutting-edge training in advanced technologies, offering hands-on experience through expert mentorship, interactive real-world projects, detailed guidance on assignments, flexible learning schedules, and robust placement support to equip learners with practical skills in Python and R for Machine Learning careers.
Python and R power predictive analytics, fraud detection, recommendation engines, computer vision, natural language processing, and healthcare diagnostics, solving complex problems and driving innovations across industries.
Choose Python for production scalability and automation. Use R for statistical modeling and detailed visualizations. Your choice should align with project objectives and the required analytical depth.
Common challenges include handling large datasets, optimizing performance, overcoming steep learning curves, and integrating Python and R effectively within the same Machine Learning project.
Future trends include AutoML for simplified workflows, ethical AI to ensure fairness, explainable AI for transparency, and advancements in deep learning for applications like real-time decision-making and edge computing.
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.
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.
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.
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.
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.
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.
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
4.8
I still remember going through websites for the Data Scientist course and reading reviews. That's when I finally found 360DigiTMG. Today, I will consider 360DigiTMG as the best one because it has offered me way more than any other training institute can do: Incredible curriculum, instructors, mentorship, and most job search skills and interviews best practices. One of the best decisions I made, I strongly recommend the Data Science program at 360DigiTMG to anyone looking for a Data Scientist/Analyst role. I am happy to announce that presently I am deputed as a Specialist Data Scientist at one of the top MNC.
I 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.
I 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.
The courses are taught by seasoned industry experts who know how to train absolute beginners and established professionals alike. Glad to have trained under 360DigiTMG.
I 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
Machine Learning Certification Course Training in Malaysia - Machine Learning Training in Malaysia, Machine Learning Course in Malaysia, Machine Learning Certification in Malaysia, Machine Learning Institute in Malaysia. Best Machine Learning Training in Malaysia, Best Machine Learning Training in Malaysia.
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6 Months
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Dive deep into analytics and transform your career in just 6 months.
Elevate your data insights and seamlessly transition from learning to working.
Offer ends on 22nd Dec, 2023
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