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Home / Data Science & Deep Learning / Data Science Using Python and R Certificate Course
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Start Date
Total Duration
3 Months
Prerequisites
This three-month Data Science certification with Python and R programming will empower students with skills in Data Analytics, Data Mining, Machine Learning, Predictive Modelling, and Regression Analysis. In this Data Science Training based in Malaysia, they will learn to unleash the power of Python and R to create machine learning and neural network algorithms. This course aims to serve the learning needs of IT professionals and college students gearing to make the transition to data science.
The student will appreciate descriptive and predictive analytics and learn to analyze structured and unstructured data with various tools and techniques like Data Preparation, Data Cleansing, Exploratory Data Analysis, Feature Engineering, Feature Extraction, Feature Selection, and Text Mining. At the end of this course, they will build prediction models for daily operability. They can also master Black box techniques, Neural Network programming, and Data Visualization methods. Propel yourselves to great heights in your Data Science career with the aid of this program from the best Data Science training institute from Malaysia
What is Data Science?
Data science is an amalgam of methods derived from statistics, data analysis, and machine learning that are trained to extract and analyze huge volumes of structured and unstructured data.
Who is a Data Scientist?
A Data Scientist is a researcher who has to prepare huge volumes of Big Data for analysis, build complex quantitative algorithms to organize and synthesize the information, and present the findings with compelling visualizations to senior management.
A Data Scientist enhances business decision making by introducing greater speed and better direction to the entire process.
A Data Scientist must be a person who loves playing with numbers and figures. A strong analytical mindset coupled with strong industrial knowledge is the skill set most desired in a Data Scientist. He must possess above the average communication skills and must be adept in communicating the technical concepts to non - technical people.
Data Scientist Certification Malaysia need a strong foundation in Statistics, Mathematics, Linear Algebra, Computer Programming, Data Warehousing, Mining, and modeling to build winning algorithms.
They must be proficient in tools such as Python, R, R Studio, Hadoop, MapReduce, Apache Spark, Apache Pig, Java, NoSQL database, Cloud Computing, Tableau, and SAS.
In this data-driven environment certification in Data Science course in malaysia prepares you for the surging demand of Big Data skills and technology in all the leading industries. There is a huge career prospect available in the field of data science and this programme is one of the most comprehensive course in malaysia in the industry today. This training will equip the students with logical and relevant programming abilities to build database models.
The students will explore the various stages of the Data Science Lifecycle in the trajectory of this course. Initially conceptualize Data preparation, Data Cleansing, Exploratory Data Analysis, and Data Mining (Supervised and Unsupervised). Progressively learn the theory behind Feature Engineering, Feature Extraction, and Feature Selection. Perform Predictive modeling using regression analysis. Build machine learning, Deep Learning, and Neural Network algorithms with Python and R language. Apprehend forecasting to take proactive business decisions. Script algorithms for neural networks, time series analysis and forecasting.
Block Your Time
48 hours
Classroom, Virtual, or Self-paced Sessions
60 hours
Streaming Hours & Coursework
30 hours
Real-Time Industry Projects
Who Should Sign Up?
This course begins with an introduction to Statistics, Probability, Python and R programming, And Exploratory Data Analysis. Participants learn to perform Data Mining Supervised with Linear regression and Predictive Modelling with Multiple Linear Regression techniques. Data Mining Unsupervised using Clustering, dimension reduction, and association rules is also dealt with in detail. A module is dedicated to scripting machine learning algorithms and enabling Deep Learning and Neural Networks with Black Box techniques and SVM. Learn to perform proactive forecasting and time series analysis with algorithms scripted in Python and R.
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.
Learn about modeling using KNN, the K nearest neighbour algorithm using KNN algorithm examples. The KNN classifier is one of the most popular classifier algorithms. Decision tree & Random forest are one of the most powerful classifier algorithms today. Under this tutorial learn about Decision Tree analysis, Decision Tree examples and Random Forest algorithms. Also learn about the various ensemble machine learning algorithms. Text Mining or Text Data Mining are the most widely used analyzing tools for unstructured data. As part of the session, learn about Text analytics and the various text mining techniques in the text mining application, text mining algorithms, and sentiment analysis. Gain a ‘hands-on’ on how to extract data from Social Media, download user reviews from E-commerce sites and travel sites. Generate various visualizations using the downloaded data.
Under the Naïve Bayes classifier tutorial, learn how the classification modelling is done using Bayesian classification, understand the same using Naïve Bayes example. Learn about Naïve Bayes through the example of text mining. Artificial Neural Network and Support Vector Machines are the 2 powerful Deep learning algorithms. Get introduced to Perceptron Algorithms, Artificial Neural Networks, Multilayer Perceptron (MLP). Learn how to work with Support Vector Machine, SVM classifiers, and SVM regression. Get introduced to Association rules in data mining to decode the relationship between entities, understand how the Apriori algorithm works, and the association rule mining algorithm works.
Description: As part of data mining unsupervised, get introduced to various clustering algorithms, learn about Hierarchical clustering, K-means clustering using clustering examples, know what clustering machine learning is all about. Learn about K-means Clustering, Clustering ratio, and various clustering metrics. Get introduced to methods of making optimum clusters. Learn the need for data reduction in data mining using dimensionality reduction techniques. Learn about the advantages of dimensionality reduction using PCA. Get introduced to the difference between cross-sectional data and Time-series data. Various stages of forecasting projects, components of Time-series, visualization techniques, model-based techniques and learning how to evaluate the forecasting models accuracy.
Extract meaningful information from temporal data, enabling accurate predictions and insights.
Understands and uses advanced models that can generate consistent, contextual information across applications.
Harness the power of well-designed prompts to better interact with language models and unlock their true potential.
Data Analysis courses, Data Scientist course and Big Data Analytics courses in Malaysia are in extremely high demand. 360DigiTMG Solutions has become the go-to place for Data Science certificate training in Malaysia because of the choice of a wide variety of data analytics courses that are offered. Become a certified data science specialist in Malaysia by learning a plethora of data mining concepts. Alongside these advantages, Python and R programming will help by adding value to this certificate not only in Malaysia but also across the globe. 360DigiTMG also offers Big Data analytics courses in Malaysia and has a unique position in the space of Big Data training in Malaysia.
Malaysia, a scenic country with its hills, beaches, forests and it's wildlife biodiversity is part of south-east Asia, consisting of three federal territories & 13 states. With its abundant natural resources in Petroleum, Palm oil, Rubber, and Spices, etc. Malaysia is an economic powerhouse with a future-looking populace. Malaysia offers a host of quality technical graduate & postgraduate programs. With the growing advent of Data Science in many counties, Malaysia has been one of the fast adopters of the same. Many organizations in Kuala Lumpur (Capital of Malaysia) are heavily investing in Data Science and are scouting for talent across various levels to drive this change. Malaysia is a place to keenly watch out for given that it offers both the worlds of technical excellence and varied touristy locations.
360DigiTMG’s Data Scientist course in Malaysia is designed to provide students with a dynamic and immersive learning experience. Beyond traditional classroom training, the institute offers extensive access to journals, publications, and industry blogs that keep students informed on the latest trends and developments in data science. Through interactive webinars and workshops, learners are introduced to advanced tools and industry practices, allowing them to stay ahead of the curve. Moreover, students have the opportunity to work on live projects and internships, gaining hands-on experience to apply their knowledge to real-world data problems.
The Data Scientist certification in Malaysia by 360DigiTMG also provides students with ample networking opportunities through its social media presence and online community. This active platform encourages students to engage with professionals, attend virtual events, and collaborate with their peers on industry-related topics. Through these avenues, students can broaden their professional network and deepen their understanding of the data science field. The emphasis on practical exposure, coupled with career support, ensures that learners are not just certified but also equipped with the skills and connections to thrive in the job market.
360DigiTMG’s approach extends beyond training by incorporating essential tools like resume optimization and personalized career guidance. Students are encouraged to enhance their resumes through feedback and career counseling, which helps them craft a compelling professional profile. Additionally, the integration of real-time data science projects into the course allows students to showcase their work, making them stand out to potential employers. By leveraging these resources, including access to blogs and industry insights, 360DigiTMG ensures students are fully prepared to enter the Data Science industry with confidence.
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Next Batch: 14th December 2024
Minimum instalments cost starting from: MYR 1,404
15763 Learners
286 Reviews
Corporate Group DiscountsUp to 30% for 3 participants & above
All prices are applicable with 8% taxes.
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:15th Jan,2025
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+60 19-383 1378
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Bharani Kumar Depuru
Samson Swaroop Paturi
Adityaveer Dhillon
Earn a certificate and demonstrate your commitment to the profession. Use it to distinguish yourself in the job market, get recognised at the workplace and boost your confidence. The Data Science Certificate is your passport to an accelerated career path.
**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
"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...
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/Business Analytics 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 practical.
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.
While there are a number of roles pertaining to Data Professionals, most of the responsibilities overlap. However, the following are some basic job descriptions for each of these roles.
As a Data Analyst, you will be dealing with Data Cleansing, Exploratory Data Analysis and Data Visualisation, among other functions. The functions pertain more to the use and analysis of historical data for understanding the current state.
As a Data Scientist, you will be building algorithms to solve business problems using statistical tools such as Python, R, SAS, STATA, Matlab, Minitab, KNIME, Weka etc. A Data Scientist also performs predictive modelling to facilitate proactive decision-making.
A data engineer primarily does programming using Spark, Python, R etc. It often compliments the role of a Data Scientist.
A Data Architect has a much broader role that involves establishing the hardware and software infrastructure needed for an organisation to perform Data Analysis. They help in selecting the right Database, Servers, Network Architecture, GPUs, Cores, Memory, Hard disk etc.
After you have completed the data science training, 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 Certification of Data Science.
The data science courses in Malaysia typically span 3 months, with 48 hours of classroom, virtual, or self-paced sessions. This is complemented by 60 hours of streaming hours and coursework, and 30 hours dedicated to real-time industry projects.
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 session, if the mentor feels that you require additional assistance, you may be referred to another mentor or trainer.
No, certification costs are typically covered in the course fees for this program, including examination fees. The data scientist certification Malaysia is awarded upon successful completion of course requirements, with no additional charges.
Yes, data science is in high demand in Malaysia. Various industries, such as finance, technology, and healthcare, increasingly require data-driven decision-making. This trend drives the demand for skilled data scientists to analyse complex data and provide actionable insights.
Data Scientist salaries in Malaysia typically vary from RM 4,000 to RM 15,000 per month for entry-level roles. Mid-level data scientists can expect to earn between RM 8,000 and RM 20,000 per month, while seasoned professionals with several years of experience and skill can command monthly wages ranging from RM 15,000 to RM 35,000 or higher.
To become a data scientist in Malaysia, first earn a degree in a relevant discipline, such as computer science, statistics, or mathematics. Enroll in a data science course in Kuala Lumpur to master key skills in programming languages like Python and R, data analysis, machine learning, and statistical modeling. Completing internships or projects will help you gain practical experience, and staying updated on industry trends is crucial. Networking with professionals can also offer valuable insights and opportunities in the field.
It is estimated that by the end of 2020 there will be a need for 2000 data scientists and 20000 data professionals. The three main job roles that a student can specialize in are a) Data Scientist, b) Data Analyst, c) Data Engineer.
A fresher Data Scientist in an entry-level job can expect a pay of RM 4500-8500. The maximum that an experienced professional can demand is RM 15000. An average software engineer will earn about RM 8000.
The Malaysian Government has placed the digital transformation of Malaysian government systems and corporate offices on priority. It has invited all multinationals to frame a Big Data Policy for the country. The country has progressed so much in digital transformation that it wishes to appoint a Chief Data Scientist over the next few years.
Python is easy to learn and maintain and therefore a Godsend to developers in Data Science. Its extended library makes it possible to stretch the applications of Python from Big Data Analytics to Machine Learning. R is the preferred tool of statisticians that enables effective data storage.
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.
The industries where Data Science is used in Malaysia are Financial Services. Telecommunications, Information Technology, Education, and Healthcare. The various applications are Data warehousing solutions, Predictive Maintenance, Fraud Detection, Click Stream Analytics, and Customer and Social Analytics.
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
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 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.
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