Data Science


Start your data science journey from the very
basics and be on your way to become
a full fledged professional

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Data Science


Start your data science journey
with Python and power up
your career today!
Learn the fundamentals of Data Science and be get started on your path to becoming a full fledged data scientist.

Data Science is an interdisciplinary field that deals with processes and systems to extract insights from a large amount of data. The Data Science Foundation course is designed to provide beginners a comprehensive introduction to Data Science and Analytics Landscape.
It is ideal for professionals in IT, analytics, big data, and machine learning to grow their existing skillset in this ever-growing field. The Data Science Foundation course is structured to comprehend organizational data, develop processes for managing data and use data to make key business decisions.
This Data Science foundational program helps professionals to master the fundamental concepts of Data Science and prepare themselves for the Professional Certification in Data Science professional certification qualification.
Key Learning Outcomes

Upon completion, participants should be able to demonstrate each of the following outcome:-

  • Interpret and communicate data and results using a vast array of real-world examples from different domains.
  • Make predictions using machine learning and statistical methods.
  • Attain computational thinking and skills, and programming language for analyzing and visualizing data.
  • Think critically about data and draw robust conclusions based on the information.
Course Modules Covered in the Python Data Science program
Module 1 - What is Data Science?

What is Data Science?

  1. Business Analytics vs Big Data vs Data Science
  2. Components of Data science: Venn diagram
  3. Understanding Data Science Pipeline
  4. Roles and Jobs in Data Science in the Market
  5. Data Science Team Structure
Module 2 - Data Science: Areas of Study

Data Science: Areas of Study

  1. Business / Domain Knowledge
  2. Hacking / Programming Skills
  3. Statistics
  4. Machine Learning
Module 3 - Data Sources and importing Techniques

Data Sources and importing Techniques

  1. Reading from existing data from flat files and database
  2. APIs
  3. Web Scraping
  4. Other data gathering methods
  5. Hands on importing data
Module 4 - Data Exploratory Analysis

Data Exploratory Analysis

  1. Basic statistics
  2. Exploratory graphs
  3. Exploratory statistics
Module 5 - Data Science Programming

Data Science Programming

  1. Programming basics
  2. Python overview
  3. R overview
  4. SQL
Module 6 - Introduction to Applied Statistics

Introduction to Applied Statistics

  1. Hypothesis Testing
  2. Confidence
  3. Validating
Module 7 - Introduction to Machine Learning

Introduction to Machine Learning

  1. Decision trees
  2. Ensembles
  3. k-nearest neighbors (kNN)
  4. Naive Bayes classifiers
  5. Artificial neural networks
Module 8 - Visual Analytics with Tableau

Visual Analytics with Tableau

  1. Introduction to Visual Analytics
  2. Interpretability
  3. Actionable insights
  4. Various Graphical Representations
Module 9 - Data Science Career and Conclusion

Data Science Career and Conclusion

  1. Data Science Learning sources
  2. Data Science relevance in your career
  3. How should a data scientist’s resume look like
  4. Tips on job applications
Our Training Methodology
Your Instructor
Thayanithy Jegan
Principal Data Scientist
CTO & Co-Founder of Thulija Technologies,
HRDF Certified Trainer and Consultant

A seasoned technology professional with over 17 years of industry experience as a software developer, solutions architect and technology consultant for major organizations. He is the Principal Lead Data Scientist at Thulija Academy.
Thayanithy Jegan has trained executives and developers in some of the leading organizations in Asia such as Maxis, IFCA, SWIFT, PSDC, DHL, Standard Chartered, Infineon Technologies, Siemens and Bank Negara to name a few. His expertise is highly sought after to help executives break into various technology stacks and as well as data science, big data, and artificial intelligence in Malaysia and regionally.
He has led major projects with clients such as Suruhanjaya Syarikat Malaysia (SSM), MYCOID, Kementerian Kerja Raya, Ministry of Education (MOE), Universiti Malaya, Perfisio Solutions, Kementerian Perdagangan Antarabangsa dan Industri, amongst others. He has also served as a Consultant for MIMOS Berhad, a Research and Development organisation that functions as an advisor to the Malaysian Government on technologies, policies and strategies relating to IT.
Program Key Highlights

16 hours of Remote Online Learning
Additional Coaching Hours
Live Hands-on Projects
Certificate of Competence by Thulija Academy with GenuineIn Digital Credentials
Mentorship with Industry Experts
Designed for Beginners
Get in Touch With Us Today!

This training program is suitable for anyone who intends to enter into the field of Data Science. This program is being conducted in Malaysia and can be joined by anyone, anywhere in the world remotely.
Program Fee

MYR 1300 per pax.
Funding price MYR 599 per pax .

Funding Schemes for Companies who are claiming from their HRDF levy.

One-time fee. One year access to course materials and resources.
Our Participants Work In

Please fill in the form and a Program Advisor will reach out to you. You can also reach out to us at or +60123661502
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