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Advanced Data Science

Grasp the fundamental concepts of Data Science and learn Statistical Analysis, Machine learning, Predictive Analytics many more.
  • 24 Hours Classroom & Online Sessions
  • 40+ Hours Assignments & Real-Time Projects
  • Complimentary Python and R Programming Beginners Course
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Calendar-for-Virtual Interactive Classes

Start Date

Data Science

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Total Duration

3 Months

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  • Computer Skills
  • Basic Programming Knowledge
  • Analytical Mindset

Advanced Data Science Overview

This course will enable you to understand Data Science and its applications to leverage the Data. Perform statistical computation on the Data to estimate results for business decisions. Gain knowledge on the most popular CRISP-DM project management methodology for Data Mining projects. You will understand the difference between Descriptive and Predictive analytics and learn to develop Prediction models. By the end of the foundation course in Data Science, students will have great insights on the application of programming tools R, Python, and will be confident enough to grab opportunities in Data Science and have a flourishing career.

Data Science

Data Science is one of the most promising and in-demand courses for skilled professionals. It is all about analyzing huge amounts of data, Data mining, and programming. Data science is still evolving and has abundant opportunities.

Data Scientist

Data Scientist are a group of analytical experts who inscribe data and find out the patterns in the data. A Data Scientist has efficient skills in handling raw, structured, and unstructured data, analyzing it, implementing in various statistical procedures, visualizing, and generating insights from the data.

Data Scientists should have adequate knowledge about tools like R, Python, Tableau, Hadoop, SAS, etc. Ten years ago there was no noise about Data Science, but all of a sudden the hype about Data Science has increased immensely. A Data Science professional should be able to balance business-related work and IT-work. A Data Scientist should be in a position to handle the situations and resolve the issues which might arise in the future.

Advanced Data Science Learning Outcomes

Understand the Applications of Data Science
Understand the Project Management Methodology used for Data science-related projects
Learn to deal with various types of Data
Be introduced to Predictive Analytics and distinguish it from Descriptive Analytics

Who Should Attend

Analytics Managers/Professionals, Business Analysts, Software Developers
Professionals who are looking to get an understanding of Data Analytics, and Data Processing
Management who are aiming to get an understanding to embark on the journey of Data Science

Block Your Time

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24 hours

Classroom Sessions

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40 hours

Assignments &

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40 hours

Live Projects

Who Should Sign Up?

  • Graduates
  • Freshers, Junior/Mid-Level Executives
  • Employees of Organizations
  • Managers
  • Business Analytst
  • IT Engineers
  • Data Analyst

Modules for Advanced Data Science Course

Extension to logistic regression We have a multinomial regression technique used to predict multiple categorical outcomes. Understand the concept of multi logit equations, baseline, and making classifications using probability outcomes.
Learn about handling multiple categories in output variables including nominal as well as ordinal data.

  • Logit and Log-Likelihood
  • Category Baselining
  • Modeling Nominal categorical data
  • Handling Ordinal Categorical Data
  • Interpreting the results of coefficient values
  • Lasso Regression
  • Ridge Regression
  • Learn about overfitting and underfitting conditions for prediction models developed. We need to strike the right balance between overfitting and underfitting, learn about regularization techniques L1 norm and L2 norm used to reduce these abnormal conditions. The regression techniques Lasso and Ridge techniques are discussed in this module.

Personalized recommendations made in e-commerce are based on all the previous transactions made. Learn the science of making these recommendations using measuring similarity between customers. The various methods applied for collaborative filtering, their pros, and cons, SVD method used for recommendations of movies by Netflix will be discussed as part of this module.

  • User-based Collaborative Filtering
  • A measure of distance/similarity between users
  • Driver for Recommendation
  • Computation Reduction Techniques
  • Search based methods/Item to Item Collaborative Filtering
  • SVD in recommendation
  • The vulnerability of recommendation systems

Learn about improving the reliability and accuracy of decision tree models using ensemble techniques. Bagging and Boosting are the go-to techniques in ensemble techniques. The parallel and sequential approaches are taken in Bagging and Boosting methods are discussed in this module.

  • Overfitting
  • Underfitting
  • Pruning
  • Boosting
  • Bagging or Bootstrap aggregating

The study of a network with quantifiable values is known as network analytics. The vertex and edge are the node and connection of a network, learn about the statistics used to calculate the value of each node in the network. You will also learn about the google page ranking algorithm as part of this module.

  • Definition of a network (the LinkedIn analogy)
  • The measure of Node strength in a Network
  • Degree centrality
  • Closeness centrality
  • Eigenvector centrality
  • Adjacency matrix
  • Betweenness centrality
  • Cluster coefficient
  • Introduction to Google page ranking
Tools Covered
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How We Prepare You
  • data science foundation course in malaysia
    Additional Assignments of over 60-80 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
  • data science foundation course in malaysia
    24/7 support
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    Job Assistance in Data Science Fields
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    Complimentary Courses
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    Unlimited Mock Interview and Quiz Session
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    Hands-on Experience in a Live Project
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    Life Time Free access to Industry Webinars

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Advanced Data Science Panel of Coaches

data scientist trainers

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
Read More >
data scientist trainers

Sharat Chandra Kumar

  • Areas of expertise: Data sciences, Machine learning, Business intelligence and Data Visualization
  • 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 >
data scientist trainers

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 >
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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.

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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 for Advanced Data Science

Python and R are open source programming languages in pursuit of robust Data Science. Both languages can be used for Big Data Analytics Python is a general-purpose programming language whereas R language was developed for statisticians. It is advised that a Data Scientist should learn both Python and R language so that strengths of both complement each other while handling complex Big Data. Both are useful for Data Mining.

Data Scientist training can be taken from all sectors and people from all experiences. The foundation program in Data Science will help you update your skills for an exciting Data Scientist career. You can also become a Data Engineer. You bring in the Industry experience, which will give you an idea on what a Data Scientist needs to achieve and how to build strategies keeping in mind the business end goals.

To become a successful data scientist one should have a basic understanding of mathematics, statistics & probability. However, 360DigiTMG provides all the basic introductory learning on Probability and Statistics that will help you prepare the foundation.

The entire course is lab-based. The class is a mixture of theory along with hands-on exercises.

Our faculty are industry experts with around 15+ years of experience. Our trainers work on real-time projects with various clients and bring that experience into their teaching methodology. This way students get rich real-time exposure on the most trendy concepts in the industry today.

Data Science is the sexiest job of the 21st century. Companies worldwide are putting all efforts to analyze their data and are falling short of quality resources. All the job portals have many data science positions open worldwide to fill in these shortages.

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.

The most popular tools in Data Science field including R and Python will be covered in this Foundation Program on Data Science.

Each student is assigned a mentor during the course of this program. If the mentor feels that additional support is needed to help the student, we may refer you to another trainer or mentor.

Jobs in field of Foundation programme in data science in malaysia

Jobs in the Field of Data Science in Malaysia

Demand for Data Science professionals is burgeoning as many industries are leaping towards data-driven insights. The Job roles for Data Science professionals in Malaysia are Data Scientist, Senior Data Scientist, Project Manager- Big data, Business Analytics consultant, Data Engineer, and so on.

Salaries in Malaysia for Data Scientist

Salaries for Data Science In Malaysia

The average salary for a Data Science Expert in Malaysia is RM 61,353. The salary range for entry-level is RM 3k - RM 88k, for middle-level RM 6k - RM 179k and experienced RM 114k - RM 171k. This varies as per the job roles.

Foundation programme in data science Projects in Malaysia

Data Science Projects in Malaysia

Data Mining, Predictive Analysis, and advanced algorithms are among the supreme projects for Industries that are imbibing Artificial Intelligence and Machine Learning. As we are shifting towards 5G technology and many other enhancements in the field of computer science we can significantly observe greater innovations and achievements in Data Science.

Role of Open Source Tools in Analytics

Role of Open Source Tools in Data Science

Programming tools like R and Python are considered to be the most essential tools for learning Data Science. In this course, you will be exposed to the basics and applications of R, Python, Tableau, and R studio.

Modes of training for Foundation programme in data science with Python

Modes of Training of Data Science Course

360DigiTMG offers students the option of both classroom and online learning. We also support e-learning as part of our curriculum. Individual attention is guaranteed to all the participants. The foundation program in Data Science in Malaysia is designed based on the requirements of students and working professionals.

Industry Application of Foundation programme in data science

Industry Applications of Data Science in Malaysia

Artificial Intelligence of things is booming in Malaysia and many companies are inculcating it for their better development. Prime sectors like Education, Banking, Manufacturing, Health care, Agriculture, and e-commerce are depending upon Data Science.

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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