Business Analytics Essentials You Always Wanted to Know. Self Learning Management
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- FormatePub
- ISBN978-1-63651-416-1
- EAN9781636514161
- Date de parution04/08/2025
- Protection num.pas de protection
- Infos supplémentairesepub
- ÉditeurVibrant Publishers
Résumé
Understand the role of analytics in decision-making. Learn how to use descriptive, predictive, and prescriptive analytics. Gain knowledge of tools for executing data-driven strategies. Explore ways to turn data into actionable intelligence. Whether you're just starting out or already have some experience, Business Analytics Essentials You Always Wanted to Know is designed to demystify the world of analytics and help you effectively integrate data-driven decision-making into your work.
It covers everything from foundational concepts to advanced techniques, making it an invaluable resource for professionals and business leaders alike. The focus of the book is on explaining how business analytics can help organizations solve problems, optimize processes, and make smarter decisions based on data insights. The book explores topics that are essential in today's digital world, such as data governance, ethical considerations in analytics, and emerging trends in AI and machine learning.
The book includes practical examples and case studies, illustrating how these tools can be applied in real-world business situations. Regardless of whether you are an aspiring data analyst, a business executive, or an entrepreneur, this book will provide you with the essential skills needed to turn data into actionable intelligence and create meaningful business value. After reading this book, you will understand: Core principles and practical applications of business analytics Use of tools such as SQL, Python, and Tableau in business analytics Concepts of descriptive, predictive, and prescriptive analytics How business analytics is used in various industries and contexts How to analyze data, forecast trends, and make recommendations
It covers everything from foundational concepts to advanced techniques, making it an invaluable resource for professionals and business leaders alike. The focus of the book is on explaining how business analytics can help organizations solve problems, optimize processes, and make smarter decisions based on data insights. The book explores topics that are essential in today's digital world, such as data governance, ethical considerations in analytics, and emerging trends in AI and machine learning.
The book includes practical examples and case studies, illustrating how these tools can be applied in real-world business situations. Regardless of whether you are an aspiring data analyst, a business executive, or an entrepreneur, this book will provide you with the essential skills needed to turn data into actionable intelligence and create meaningful business value. After reading this book, you will understand: Core principles and practical applications of business analytics Use of tools such as SQL, Python, and Tableau in business analytics Concepts of descriptive, predictive, and prescriptive analytics How business analytics is used in various industries and contexts How to analyze data, forecast trends, and make recommendations
Understand the role of analytics in decision-making. Learn how to use descriptive, predictive, and prescriptive analytics. Gain knowledge of tools for executing data-driven strategies. Explore ways to turn data into actionable intelligence. Whether you're just starting out or already have some experience, Business Analytics Essentials You Always Wanted to Know is designed to demystify the world of analytics and help you effectively integrate data-driven decision-making into your work.
It covers everything from foundational concepts to advanced techniques, making it an invaluable resource for professionals and business leaders alike. The focus of the book is on explaining how business analytics can help organizations solve problems, optimize processes, and make smarter decisions based on data insights. The book explores topics that are essential in today's digital world, such as data governance, ethical considerations in analytics, and emerging trends in AI and machine learning.
The book includes practical examples and case studies, illustrating how these tools can be applied in real-world business situations. Regardless of whether you are an aspiring data analyst, a business executive, or an entrepreneur, this book will provide you with the essential skills needed to turn data into actionable intelligence and create meaningful business value. After reading this book, you will understand: Core principles and practical applications of business analytics Use of tools such as SQL, Python, and Tableau in business analytics Concepts of descriptive, predictive, and prescriptive analytics How business analytics is used in various industries and contexts How to analyze data, forecast trends, and make recommendations
It covers everything from foundational concepts to advanced techniques, making it an invaluable resource for professionals and business leaders alike. The focus of the book is on explaining how business analytics can help organizations solve problems, optimize processes, and make smarter decisions based on data insights. The book explores topics that are essential in today's digital world, such as data governance, ethical considerations in analytics, and emerging trends in AI and machine learning.
The book includes practical examples and case studies, illustrating how these tools can be applied in real-world business situations. Regardless of whether you are an aspiring data analyst, a business executive, or an entrepreneur, this book will provide you with the essential skills needed to turn data into actionable intelligence and create meaningful business value. After reading this book, you will understand: Core principles and practical applications of business analytics Use of tools such as SQL, Python, and Tableau in business analytics Concepts of descriptive, predictive, and prescriptive analytics How business analytics is used in various industries and contexts How to analyze data, forecast trends, and make recommendations
