Lecture 1: Introduction to Business Intelligence (BI)
Lecture 2: Fundamentals of Data Science
Lecture 3: Integration of BI and Data Science
Lecture 4: Data Preparation and Preprocessing
Lecture 5: Advanced Data Analytics and BI Techniques
Lecture 6: Machine Learning for Business Intelligence
Lecture 7: Big Data and Cloud Computing in BI and Data Science
Lecture 8: Data Visualization & Reporting
Lecture 9: Collaboration Between BI and Data Science Teams
Lecture 10: Tools and Technologies for Integration
This course explores the integration of Business Intelligence (BI) and Data Science to enhance data-driven decision-making. Topics include the fundamentals of BI and data science, data preparation, and advanced analytics techniques. Students will learn how to apply machine learning to BI, leverage big data and cloud computing, and create effective data visualizations and reports. The course also covers collaboration between BI and data science teams and provides insights into the tools and technologies used for integration. By the end of the course, learners will understand how to combine BI and data science to drive business insights and innovation.
