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