Business Data Science

(2 days)

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Summary

This course introduces the basics of data science and its importance in business. It covers both traditional data science methods and Automated Machine Learning (AutoML), highlighting the differences and benefits of each. participants will learn about machine learning and its applications, such as Customer Segmentation (CS) to group customers, Churn Prediction (CP) to identify those likely to leave, and Customer Lifetime Value (CLV) to assess long-term customer value. The course also includes Publishing and Deployment of data models, and advanced topics like Anomaly Detection (AD), Time Series Forecasting (TSF), and Product Recommendation (PR) systems. This course provides the skills to apply data science to solve business problems effectively.

Content

• Introduction to Data Science

• Data Science in Business

• Traditional Data Science vs AutoML

• Machine Learning

• Customer Segmentation (CS)

• Churn Prediction (CP):

• Customer Lifetime Value (CLV)

• Publishing and Deployment

• Anomaly Detection (AD)

• Time Series Forecasting (TSF)

• Product Recommendation (PR)