Synopsis

Authored by Vikram Singh Sankhala, "Python for SAP Data Analysis and AI/ML" is designed as an end-to-end, project-based tutorial specifically for SAP E-Learners seeking to master modern data analysis and artificial intelligence techniques within their SAP environment. This comprehensive guide bridges the gap between traditional SAP systems and the power of Python's rich data science ecosystem. Starting with Python fundamentals tailored for data tasks, the book progressively introduces core libraries like Pandas, NumPy, Matplotlib, and Scikit-learn, demonstrating their practical application to business data scenarios relevant to SAP professionals. Readers will learn the complete machine learning workflow, from data preparation and model selection to training and evaluation, all while focusing on data sourced directly from SAP systems. The journey continues with practical methods for direct integration with SAP landscapes, including accessing data from SAP HANA and other SAP sources using Python connectors. The book delves into advanced AI/ML techniques such as time series forecasting for sales prediction, NLP for document classification, and recommendation systems for CRM, illustrating each with SAP business examples. A significant focus is placed on end-to-end project implementation, guiding readers through extracting, transforming, modeling, and interpreting SAP data to solve real-world business problems like predicting late payments. The text concludes with crucial aspects of automation and deployment, showing how to operationalize models within SAP BTP or S/4HANA for continuous business value, empowering SAP professionals to leverage data-driven insights effectively.

Python for SAP Data Analysis and AI/ML

Vikram Singh Sankhala

English

Python for SAP Data Analysis and AI/ML

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