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196112546
Business Analytics Essentials You Always Wanted to Know: Learn Data Analytics Predictive Techniques Visualization and Tools for Effective
Item #:
196112546
KES 8560
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Master the core principles of business analytics and transform raw data into confident, informed business decisions.
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What Stands Out
Comprehensive Learning
This course covers a wide range of data analytics essentials, ensuring learners gain a thorough understanding of predictive techniques and visualization for effective decision-making.
Self-Paced Format
Designed for flexibility, this self-learning management series allows users to progress at their own pace, making it ideal for busy professionals seeking skill enhancement without a rigid schedule.
Practical Tools
Participants will learn to use essential tools and techniques, equipping them with practical skills to tackle real-world business problems, ultimately enhancing their value to employers and driving organizational success.
Product Details
- Master the core principles of business analytics and transform raw data into confident, informed business decisions.Designed for aspiring analysts, business professionals, and managers looking to build practical data skills, this guide breaks down complex analytics concepts into clear, actionable knowledge. Whether you're new to the field or looking to strengthen your foundation, this book bridges the gap between theory and real-world application.Readers will gain:A solid understanding of descriptive, predictive, and prescriptive analytics and how each drives decision-makingPractical techniques for applying data analytics to real business scenarios and case studiesAn accessible introduction to predictive modeling and forecasting methodsGuidance on data visualization principles and how to communicate insights effectivelyFamiliarity with widely used business analytics tools, including SQL, Python, and Tableau Hands-on Excel-based online resources covering data management, statistical analysis, data visualization, and predictive modeling exercises Part of the trusted Self-Learning Management Series, this book gives readers a structured, self-paced path to developing analytics competency from foundational concepts to practical application, making it a valuable resource for anyone looking to build data-driven decision-making skills in today's competitive business environment.
| Publisher | Vibrant Publishers |
| Publication date | 4 Aug. 2025 |
| Language | English |
| Print length | 306 pages |
| ISBN-10 | 1636514154 |
| ISBN-13 | 978-1636514154 |
| Dimensions | 13.97 x 1.75 x 21.59 cm |
| Part of series | Self-Learning Management Series |
Product Description
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English edition Ms. Riyanka Jain Editorial Review
Business Analytics Essentials You Always Wanted To Know offers an insightful exploration into data analytics, predictive techniques, and visualization tools tailored for effective decision-making. Published by Vibrant Publishers, this book spans 306 pages and is part of the Self-Learning Management Series, making it an excellent resource for individuals seeking to enhance their analytical skills. Readers appreciate the clear language and the practical approach taken throughout the book, which effectively bridges the gap between theory and application. This resource is perfect for anyone eager to delve into business analytics without prior extensive knowledge.
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Pros
- Comprehensive coverage of data analytics techniques
- User-friendly language enhances understanding
- Includes practical examples for real-world applications
- Part of a well-regarded series for self-learners
- Focuses on effective decision-making strategies
Cons
- Some readers may find the content dense at times
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Features & Benefits
- Understand descriptive, predictive, and prescriptive analytics for effective decision-making.
- Apply practical data analytics techniques to real business scenarios.
- Learn predictive modeling and effective forecasting methods.
- Discover data visualization principles to communicate insights effectively.
- Get familiar with essential business analytics tools like SQL, Python, and Tableau.
- Access Excel-based resources for hands-on practice in data management and analysis.
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