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Data Science Foundation Course

Grasp the fundamental concepts of Data Science and learn Statistical Analysis, Machine learning, Predictive Analytics many more.
  • 24 Virtual or Self-paced Sessions
  • 40 Hours Streaming Hours & Coursework
  • 20 Hours Real-Time Industry Projects
  • HRD Corp claimable, we support the documentation
  • 6 months Learning Management System access
  • Blockchain enabled tamper-proof security certificate

Academic Partners & International Accreditations

Data Science

data science foundation course reviews - 360digitmg

Total Duration

2 Months

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Prerequisites

  • Computer Skills
  • Basic Programming Knowledge
  • Analytical Mindset

Data Science Foundation Programme 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.

What is 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.

What is Data Scientist?

Data Scientists 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.

Data Science Foundation Learning Outcomes

Malaysia is adopting and witnessing a great advancement in Data Science. By this foundation of the Data Science course, the students will learn the main programming tools R and Python and its applicabilities. Students will learn about the statistical calculations. They will be able to predict and build models with Descriptive and Predictive analysis. They will also gain insights on how to extract data from large datasets and develop models using Supervised learning and Unsupervised learning techniques. These modules are designed in response to the changing business trends and prepare the students well to advance and face the challenges. Participants will also gain insights into the applications of Artificial Intelligence, Machine learning, and many trending topics.

 

  • Begin the journey with High-level programming languages R and Python
  • Perform Descriptive analytics using statistical calculations
  • Develop an understanding of Descriptive and Predictive Analytics
  • Develop Predictive analytical solutions to enable data-driven decisions
  • Peek into the Project life cycle for Data Analytics projects
  • Develop Models to Predict a variable of interest using Supervised Learning techniques
  • Derive insights from the business Data using Unsupervised Learning techniques

Modules for Fundamentals of Data Science Course

The Data Science Foundation course will be your first stepping stone towards Data Science. You will learn the art of churning the data for finding out patterns. In this module, you will be introduced to the analytics programming languages. R is a statistical programming language and Python is a general-purpose programming language. These are the most popular tools currently being looked upon to churn the data for deriving insights. Learn about the most commonly used packages/libraries for Data Science. Along with the tools you will be exposed to various kinds of Data Analytics and its applications in different fields of Business. EDA also is known as Exploratory Data Analysis is performed to understand what has happened with the business. In this tutorial, you will learn how statistical computing is applied to perform Descriptive Analytics. In this tutorial, you will learn how to make a Hypothesis for a business condition. What are the rules in making such assumptions? Learn about the conditions that may arise while inference of a solution for business problems. The CRISP-DM process is applied in general for Data Analytics projects, learning about CRISP-DM, and the stages of the project life cycle. Understand the Descriptive Analytics strategies performed by mining the data using mathematical techniques. Learn to derive insights by segregating the data into homogeneous groups and heterogeneous groups of observations. Understand the relationship between entities to help explain correlations between attributes. Learn to handle high dimensional data to help achieve better performance on the models. Ultimately you will gain knowledge and confidence by learning all the topics in the course and will be prepared to get lucrative jobs.

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.

Tools Covered

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GenAI assistants and models

  • ChatGPT
  • Claude
  • Gemini
  • Llama
  • Perplexity

AI-assisted and vibe coding

  • GitHub Copilot
  • Cursor
  • Claude Code
  • Replit

Agentic AI frameworks

  • LangChain
  • Hugging Face
  • Ollama

Zero-code AI automation

  • n8n
  • Zapier
  • Make

Deploy and MLOps

  • MLflow
  • Streamlit
  • Docker
  • Databricks
  • AWS
  • Google Cloud

Data Science Foundation Course Trends in Malaysia

Many of the South-Eastern nations including Malaysia are rich in minerals, natural gas, and petroleum. The natural resources of these regions give them an advantage over most nations of similar size, making them an economic power. This affluence led to the rapid development and industrialization of Malaysia making it a hub for investment by many global MNC's. The use of Data-driven decision making is on the rise in most countries. Therefore there is a huge demand for courses that can teach the basics of data-driven decision making.

Both middle and top management derive benefit from courses on “ Fundamentals of Data Science ”. These courses enable them to employ Data Analytics in decision making. Nowadays fraud is the main issue in banking sectors. AI will be the solution for these problems which is cost-effective and generates revenues. Many apps are built with AI to give their clients professional fashion advice. There will be rapid advancements in the implications of chatbots to improve customer service.

Looking towards the future, rapid advancements in AI technologies are expected to continue revolutionizing customer service experiences through the proliferation of chatbots. These AI-powered solutions leverage natural language processing and machine learning algorithms to provide real-time support to customers, further streamlining operations and enhancing customer satisfaction. As Malaysia and other Southeast Asian nations embrace data-driven strategies to navigate the complexities of the modern business landscape, the demand for skilled professionals adept in data science fundamentals is poised to remain robust, driving ongoing innovation and growth across diverse industries.

How We Prepare You

  • data science foundation course in malaysia
    Additional Assignments of over 60-80 hours
  • data science foundation course in malaysia
    Live Free Webinars
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    Resume and LinkedIn Review Sessions
  • data science foundation course in malaysia
    6 Months Access to LMS
  • data science foundation course in malaysia
    Complimentary Courses
  • data science foundation course in malaysia
    Hands-on Experience in a Live Project
  • data science foundation course in malaysia
    Life Time Free access to Industry Webinars

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Data Science for Beginners Panel of Coaches

Data Science Course Training -360digitmg

Bharani Kumar Depuru

  • Professional Experience: Over 18+ years in data analytics, digital transformation, and Industrial Revolution 4.0.
  • Expertise: Specializes in data analytics and digital transformation.
  • Corporate Clients: Worked with Deloitte, HPE, Amazon, Tech Mahindra, Cummins, Accenture, and IBM.
  • Certifications: PMP, PMI-ACP, PMI-RMP, Lean Six Sigma Master Black Belt, Tableau Certified Associate, Certified Scrum Practitioner.
Data Science Course Training - 360digitmg

Samson Swaroop Paturi

  • Professional Experience: Over 17+ years in machine learning, AI, and big data/data lake systems.
  • Expertise: Specializes in machine learning, AI, and big data.
  • Experience: Worked with Capgemini, Florida Power & Light Company, ComTec Information Systems, and IBM.
  • Certifications: Certified Scrum Product Owner (CSPO), Six Sigma Green Belt, ITIL Foundation Level, IBM logo Advisory Product Services Professional.
Data Science Course Training -360digitmg

Aman

  • Professional Experience: Over 10 years of experience in Data Science and Analytics.
  • Expertise: Specializes in Analytics, Business Intelligence (BI), Data Science, and Artificial Intelligence (AI).
  • Solutions Experience: Senior Data Specialist at 360DigiTMG and AiSPRY.
  • Certifications: Python, SQL, Power BI, Tableau.

Data Science Foundation Certificate

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

"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

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

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

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

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

Ashner Novilla

Our Alumni Work At

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FAQs for Foundation Programme in 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.

In this course, you will receive hands-on support through practical workshops, case studies, and real-world projects. Expert trainers guide you through data analysis tools and techniques, ensuring you gain practical skills to apply business analytics effectively. This hands-on approach equips you with the confidence and proficiency needed to make informed decisions and drive business success.

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 attending a session, you can typically access recorded sessions or catch up through supplementary materials provided in the AiSPRY. Additionally, you may have opportunities for one-on-one sessions with instructors to ensure you stay on track with the curriculum and maximise your learning experience.

Professional Certificate training typically involves learning on industry-standard tools such as Hadoop, Spark, Python, SQL, and data visualisation tools like Tableau or Power BI. These tools are essential for data manipulation, analysis, and visualisation, ensuring you gain practical skills relevant to real-world applications in big data analytics.

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.

Student Voices

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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