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Data Science for Business Intelligence

Why Attend

By the end of the training program, participants will be able to:

Overview

Course Outline

Schedule & Fees

Course Methodology

Instructor-led training that uses interactive learning methods, including class discussion, small group activities, and role-playing

Course Objectives

Understand the concept and benefits of data science for business intelligence; Identify and evaluate relevant data sources; Use data science tools and techniques to inform business decisions; Communicate findings and recommendations to stakeholders; Design and implement a data science strategy for business intelligence

Target Audience

Target Competencies

n/a

Day 1: Introduction to Data Science for Business Intelligence

  • Understanding the role of data science in business intelligence

  • Identifying relevant data sources: internal and external

  • Mapping your organization's data landscape

  • Overview of data science tools and techniques

Day 2:

Data Cleaning and Preparation

  • Data wrangling and cleaning techniques

  • Handling missing data and outliers

  • Data transformation techniques

Day 3:

Data Modeling and Analysis

  • Introduction to statistical analysis

  • Regression analysis and hypothesis testing

  • Classification and clustering techniques

Day 4:

Data Visualization and Communication

  • Choosing the right data visualization tools

  • Creating effective visualizations and dashboards

  • Best practices for communicating data findings and recommendations to stakeholders

Day 5:

Case Studies and Wrap-up

  • Reviewing real-world examples of successful data science strategies for business intelligence

  • Discussing lessons learned and best practices

  • Q&A and course evaluation

$3875

Manila

Country: Philippines

Duration: One week

Date: 20–24 Oct 2025

Register

$4475

London

Country: United Kingdom

Duration: One week

Date: 18–22 May 2026

Register