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Business Analytics (AIBAF) Student Textbook For Higher Education

$99.00

SKU: AIBAF - Student Book Categories: , Tag:

Description

Mujo’s Business Analytics Fundamentals provides students with a thorough and practical introduction to the world of business analytics powered by artificial intelligence. This textbook covers essential AI-driven techniques for forecasting, data management, and machine learning, helping students understand how these technologies are reshaping data analysis and business intelligence. Key topics include the application of AI in predictive analytics, optimizing data processing workflows, and ensuring privacy and anonymization in data usage.

Students will also develop critical skills in prompt engineering, AI governance policy development, and data visualization, enabling them to effectively communicate analytical insights. In addition, the course explores the process of model fine-tuning to enhance predictive accuracy and performance. By mastering these concepts and techniques, learners will gain the knowledge and hands-on experience needed to apply AI-driven business analytics in real-world settings, empowering them to make data-informed decisions in an increasingly data-centric world.

ISBN: 9781998671052

BOOK CODE: AIBAF-SM

Fulfillment Details:

  1. Electronic Books: Our e-books are always up to date. You will receive the latest VitalSource code for redeeming your electronic book(s).
  2. Printed Books Option: If you want soft cover printed copies, they are available for an additional cost. Each book costs $199.00, plus shipping fees.
  3. How to Request: To request printed copies, please mention this during your checkout process. We will then update your invoice to reflect this request and send the updated invoice to you.

Additional information

Book Format

Soft Copy Printed

Discipline

Applied AI For Business

Textbook Edition

For Post-Secondary Students

Subject

Data & Analytics

Table of Contents

Ch 1 Introduction to Analytics
Ch 2 AI and Big Data
Ch 3 Key Performance Indicators
Ch 4 Data Collection
Ch 5 Data Management
Ch 6 Data Analysis and Modelling
Ch 7 Reporting and Visualization
Ch 8 Workflows, Implementation, and Governance

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