Loading
Click if page fails to load
Animated navigation

COURSE INFO

Banner

Introduction
Data Science is a rapidly evolving field that underpins many innovations in business intelligence, automation, and digital transformation. This course provides a foundational introduction to the principles, tools, and practices that define modern data science. Participants will develop not only technical proficiency but also a data-oriented mindset essential for addressing real-world challenges through data.

Throughout the course, participants will be introduced to essential concepts and techniques for handling various aspects of data science practice, including data collection and integration, exploratory data analysis, predictive and descriptive modeling, model evaluation, and effective communication of results.

  

Course Learning Outcome

  1. Describe the core principles and applications of data science.
  2. Identify key techniques and tools used in data science practice.
  3. Utilize data science tools and techniques to solve analytical problems.

  

Target Trainees
This course is suitable for:

  • Undergraduate and postgraduate students from computing, engineering, business, or related disciplines
  • Entry-level data analysts or professionals seeking foundational training in data science
  • Individuals interested in data-driven problem solving and computational thinking

  

Instructor

Ts. Dr. Fakhitah Ridzuan
Senior Lecturer, Faculty of Data Science and Computing, Universiti Malaysia Kelantan
Academic and researcher specializing in Data Science, Artificial Intelligence, and Digital Innovation.
With experience in academic instruction and applied research, Dr. Fakhitah’s work focuses on data-driven methods for social good, enterprise optimization, and public sector innovation.

Animated navigation