Introduction:

• Define data science and its role in business intelligence

• Discuss the types of data used in business intelligence

• Review the benefits and challenges of data science for business intelligence

• Explain how to implement a successful data science strategy for business intelligence

Objectives:

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

• 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:

This training program is designed for business analysts, data analysts, IT professionals, and anyone involved in business intelligence strategy and implementation.

Outlines:

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