Data Science for Business Intelligence

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