Paperback. The Python for Pharmaceutical Data Science course serves as a comprehensive guide for leveraging Python programming in the pharmaceutical domain. It bridges the gap between data science and pharmaceutical applications, offering both foundational knowledge and advanced analytical techniques. The syllabus spans core Python programming, data handling with Pandas, data visualization, statistical analysis, and machine learning.* Foundations of Python Programming* Data Handling with Pandas* Data Visualization with Matplotlib * Intermediate Data Analysis and Statistical Techniques* Machine Learning Applications in Pharmacy* Practical Applications and ProjectsConclusionThe book concludes by highlighting the importance of continuous learning, staying updated with evolving libraries, and participating in data science communities. It equips learners with skills that are not only technical but also industry-relevant, emphasizing ethical data handling and effective communication of insights. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

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Bibliographic Details

Title: Python for Pharmaceutical Data Science From Fundamentals to Predictive (Paperback)
Publisher: LAP Lambert Academic Publishing
Publication Date: 2025
Language: English
ISBN 10: 6208421136
ISBN 13: 9786208421137
Binding: Paperback
Condition: new

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Synopsis

The Python for Pharmaceutical Data Science course serves as a comprehensive guide for leveraging Python programming in the pharmaceutical domain. It bridges the gap between data science and pharmaceutical applications, offering both foundational knowledge and advanced analytical techniques. The syllabus spans core Python programming, data handling with Pandas, data visualization, statistical analysis, and machine learning.* Foundations of Python Programming* Data Handling with Pandas* Data Visualization with Matplotlib * Intermediate Data Analysis and Statistical Techniques* Machine Learning Applications in Pharmacy* Practical Applications and ProjectsConclusionThe book concludes by highlighting the importance of continuous learning, staying updated with evolving libraries, and participating in data science communities. It equips learners with skills that are not only technical but also industry-relevant, emphasizing ethical data handling and effective communication of insights.

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