Available Dates

Dec-30-2024

Kuala Lumpur
Mar-17-2025

Kuala Lumpur
June-16-2025

Kuala Lumpur
Sep-15-2025

Kuala Lumpur
Dec-15-2025

Kuala Lumpur

Dates in Other Venues

Dec-30-2024

Istanbul
Dec-30-2024

Paris
Jan-20-2025

London
Feb-17-2025

Dubai
Mar-17-2025

Istanbul
Mar-17-2025

Paris
Mar-17-2025

Barcelona
Mar-17-2025

Amsterdam
Mar-17-2025

Singapore
Mar-17-2025

London
Apr-21-2025

Dubai
May-19-2025

London
June-16-2025

Barcelona
June-16-2025

Dubai
June-16-2025

Singapore
June-16-2025

Istanbul
June-16-2025

Amsterdam
June-16-2025

Paris
July-21-2025

London
Aug-18-2025

Dubai
Sep-15-2025

Paris
Sep-15-2025

Barcelona
Sep-15-2025

Amsterdam
Sep-15-2025

London
Sep-15-2025

Singapore
Sep-15-2025

Istanbul
Oct-20-2025

Dubai
Nov-17-2025

London
Dec-15-2025

Dubai
Dec-15-2025

Barcelona
Dec-15-2025

Istanbul
Dec-15-2025

Singapore
Dec-15-2025

Paris
Dec-15-2025

Amsterdam

Course Details

This course is is a 5-day course designed to provide beginners with a foundational understanding of how data science is used to drive business insights and decision-making.
In this course, you will learn the basics of data collection, cleaning, visualization, and analysis, as well as machine learning techniques for predicting and modelling business outcomes.

By the end of the course, you will have a strong understanding of how data science can be applied in business intelligence and the impact it can have on an organisation. This course is ideal for beginners interested in pursuing a career in data science or business intelligence or for professionals who want to gain a basic understanding of data science and its applications in their field.

Develop a foundational understanding of data science and its applications in business intelligence, including key concepts, techniques, and tools used in the field.
Learn how to collect, clean, and preprocess data for analysis, including basic data manipulation using spreadsheets.
Gain proficiency in data visualization techniques and learn how to communicate insights to stakeholders effectively.
Learn how to apply simple machine learning algorithms to business problems, including supervised and unsupervised learning techniques, and understand how these algorithms can be used to drive business insights and decision-making.

This course is designed for beginners who are interested in pursuing a career in data science or business intelligence. It is also suitable for professionals who want to gain a basic understanding of data science and its applications in their field. Specifically, the course is ideal for:

Business professionals who want to gain a deeper understanding of data science and how it can be applied to business intelligence.
Data analysts who want to expand their knowledge of data science and machine learning in a business context.
Students who are interested in pursuing a career in data science or business intelligence and want to gain a foundational understanding of the field.

Our courses in Kuala Lumpur take place at the following location :

Level 32 , Menara Prestige, 1, Jalan Pinang, Kuala Lumpur, 50450 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Once you register, we will subsequently send you the course details, including the location, trainer, and other logistical information.

Pay Attention, Please! The course location at our offices is subject to availability. Should our office be unavailable, we will secure an alternative nearby venue and promptly inform you of the change. The exact time and location will be confirmed one week prior to the course commencement.

Course Outline

5 days course

Day 1

Day 2

Day 3

Day 4

Day 5

Introduction to Data Science and Business Intelligence

Understanding the basics of data science and business intelligence
Key differences between the two fields
Overview of popular data science tools and techniques

Data Collection and Cleaning

How to collect and clean data for analysis
Introduction to spreadsheets and basic data manipulation using Microsoft Excel or Google Sheets
Hands-on exercises in data cleaning and formatting

Data Visualisation and Analysis

Basics of data visualisation and how to communicate insights to stakeholders
Introduction to creating charts and graphs in Excel or Google Sheets
Hands-on exercises in creating basic data visualisations and identifying patterns in data

Introduction to Machine Learning

Overview of machine learning and its applications in business intelligence
Introduction to supervised and unsupervised learning
Hands-on exercises with simple machine learning algorithms in Excel or Google Sheets

Business Intelligence Applications and Conclusion

Real-world examples of how data science and machine learning are applied in business intelligence
Discussion on the business impact of data science and its limitations
Closing thoughts and next steps for pursuing a career in data science for business intelligence.

Data Science for Business Intelligence

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Data Science for Business Intelligence

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