Course Info

Date: June-02-2025

Length: 1 Week

City: Kuala Lumpur

Fees: 3,990

Type: In Classroom

Available Dates

  • Dec-16-2024

    Kuala Lumpur

  • Jan-06-2025

    Kuala Lumpur

  • Feb-03-2025

    Kuala Lumpur

  • Mar-03-2025

    Kuala Lumpur

  • Apr-07-2025

    Kuala Lumpur

  • May-05-2025

    Kuala Lumpur

  • June-02-2025

    Kuala Lumpur

  • June-30-2025

    Kuala Lumpur

  • July-07-2025

    Kuala Lumpur

  • July-28-2025

    Kuala Lumpur

  • Aug-04-2025

    Kuala Lumpur

  • Sep-01-2025

    Kuala Lumpur

  • Sep-29-2025

    Kuala Lumpur

  • Oct-06-2025

    Kuala Lumpur

  • Nov-03-2025

    Kuala Lumpur

  • Dec-01-2025

    Kuala Lumpur

  • Dec-29-2025

    Kuala Lumpur

Dates in Other Venues

  • Nov-25-2024

    Paris

  • Nov-25-2024

    Singapore

  • Dec-02-2024

    Dubai

  • Dec-02-2024

    Barcelona

  • Dec-09-2024

    London

  • Dec-09-2024

    Amsterdam

  • Dec-16-2024

    Istanbul

  • Dec-23-2024

    Barcelona

  • Dec-23-2024

    Singapore

  • Dec-30-2024

    Paris

  • Dec-30-2024

    Dubai

  • Jan-06-2025

    Istanbul

  • Jan-13-2025

    Singapore

  • Jan-13-2025

    Paris

  • Jan-20-2025

    London

  • Jan-20-2025

    Amsterdam

  • Jan-27-2025

    Barcelona

  • Jan-27-2025

    Dubai

  • Feb-03-2025

    Istanbul

  • Feb-10-2025

    Paris

  • Feb-10-2025

    Singapore

  • Feb-17-2025

    London

  • Feb-17-2025

    Amsterdam

  • Feb-24-2025

    Dubai

  • Feb-24-2025

    Barcelona

  • Mar-03-2025

    Istanbul

  • Mar-10-2025

    Paris

  • Mar-10-2025

    Singapore

  • Mar-17-2025

    Amsterdam

  • Mar-17-2025

    London

  • Mar-24-2025

    Barcelona

  • Mar-24-2025

    Dubai

  • Apr-07-2025

    Istanbul

  • Apr-14-2025

    Paris

  • Apr-14-2025

    Singapore

  • Apr-21-2025

    Amsterdam

  • Apr-21-2025

    London

  • Apr-28-2025

    Barcelona

  • Apr-28-2025

    Dubai

  • May-05-2025

    Istanbul

  • May-12-2025

    Singapore

  • May-12-2025

    Paris

  • May-19-2025

    Amsterdam

  • May-19-2025

    London

  • May-26-2025

    Dubai

  • May-26-2025

    Barcelona

  • June-02-2025

    Istanbul

  • June-09-2025

    Paris

  • June-09-2025

    Singapore

  • June-16-2025

    Amsterdam

  • June-16-2025

    London

  • June-23-2025

    Barcelona

  • June-30-2025

    Istanbul

  • June-30-2025

    Dubai

  • July-07-2025

    Istanbul

  • July-14-2025

    Singapore

  • July-14-2025

    Paris

  • July-21-2025

    Amsterdam

  • July-21-2025

    London

  • July-28-2025

    Dubai

  • July-28-2025

    Istanbul

  • July-28-2025

    Barcelona

  • Aug-04-2025

    Istanbul

  • Aug-11-2025

    Paris

  • Aug-11-2025

    Singapore

  • Aug-18-2025

    London

  • Aug-18-2025

    Amsterdam

  • Aug-25-2025

    Dubai

  • Aug-25-2025

    Barcelona

  • Sep-01-2025

    Istanbul

  • Sep-08-2025

    Singapore

  • Sep-08-2025

    Paris

  • Sep-15-2025

    London

  • Sep-15-2025

    Amsterdam

  • Sep-22-2025

    Barcelona

  • Sep-29-2025

    Dubai

  • Sep-29-2025

    Istanbul

  • Oct-06-2025

    Paris

  • Oct-06-2025

    Istanbul

  • Oct-06-2025

    Singapore

  • Oct-20-2025

    London

  • Oct-20-2025

    Amsterdam

  • Oct-27-2025

    Dubai

  • Oct-27-2025

    Barcelona

  • Nov-03-2025

    Istanbul

  • Nov-10-2025

    Paris

  • Nov-10-2025

    Singapore

  • Nov-17-2025

    London

  • Nov-17-2025

    Amsterdam

  • Nov-24-2025

    Dubai

  • Nov-24-2025

    Barcelona

  • Dec-01-2025

    Istanbul

  • Dec-08-2025

    Singapore

  • Dec-08-2025

    Paris

  • Dec-15-2025

    Amsterdam

  • Dec-15-2025

    London

  • Dec-22-2025

    Barcelona

  • Dec-29-2025

    Dubai

  • Dec-29-2025

    Istanbul

Course Details

Course Outline

5 days course

Understanding Data Science

  • Overview of data science: definition, importance, and applications.
  • Key roles and responsibilities in a data science team.
  • Introduction to data types and data structures.
  • Basic principles of data management.

Data Analysis Basics

  • Introduction to statistics for data science: Descriptive & inferential statistics.
  • Exploratory data analysis and data cleaning.
  • Data wrangling and transformation.
  • Introduction to regression analysis.

Introduction to Machine Learning

  • Defining machine learning and its importance in data science.
  • Overview of supervised, unsupervised, and reinforcement learning.
  • Basic machine learning algorithms: Regression, classification, and clustering.
  • Training and validation of machine learning models.

Data Visualisation

  • The importance of data visualisation in data science.
  • Understanding different data visualisation tools.
  • Creating impactful visualisations: charts, graphs, heat maps.
  • Effective storytelling with data.

Ethics and Future Trends in Data Science

  • Discussion on ethical considerations in data science: privacy, bias, and fairness.
  • The role of data governance in data science.
  • Emerging trends in data science: AI, Big Data, IoT.
  • The future of data science: skills for success.

Course Video