Mathematical Concepts In Data Science in Data Management And Analytics Diploma Level

KSh 3,000.00

This book contains the following topics:

 • Introduction to Mathematical Foundations for Data Science
• Probability and Statistics for Data Science
• Linear Algebra in Data Science
• Calculus for Data Science
• Mathematical Modelling and Regression Analysis
• Discrete Mathematics and Graph Theory in Data Science
• Optimization Techniques in Data Science
• Advanced Topics in Mathematics for Data Science

Category: Diploma Level Book
Publisher: Finstock Evarsity Publishers
ISBN:
Authors: CPA John Kimani, Dr. James Scott
Pages: 97
Category:

Description

Mathematical Concepts in Data Science in Data Management and Analytics” provides a comprehensive exploration of core mathematical principles driving data science. It bridges theoretical concepts like linear algebra, probability, and statistics with practical applications in data management and analytics. The book emphasizes problem-solving techniques, offering real-world case studies and computational examples. Ideal for students and professionals, it equips readers with the mathematical foundation necessary for success in data-driven fields.

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