6 Essential Books to Evolve in Data Analysis and BI in 2025
Posted: Sun Jan 05, 2025 9:59 am
The Data Analysis field has grown rapidly and has established itself as one of the most promising in the global job market. With the advancement of technologies such as Artificial Intelligence , Big Data and Business Intelligence (BI) tools, companies are looking for professionals capable of transforming large volumes of data into strategic insights.
For beginners and intermediate professionals, mastering essential tools and developing an analytical eye are indispensable skills. However, it is still rare to find analysts in the market who know how to interpret data and communicate results that generate an impact on business.
That’s why we’ve selected 6 essential books that will malta email list help you develop your technical and analytical skills. Check out what you can learn from each book and how it can boost your career!
1. Business Intelligence: Business Management Analysis
Career Level: Entry Level
Applicability: Structuring BI systems and using data for strategic decisions.
This book provides a solid foundation for those who are just starting out in the Business Intelligence field. It covers the main concepts, tools and processes needed to structure an efficient BI system in any company.
What will you learn?
The fundamentals of BI, from data collection to analysis and presentation;
How to transform data into strategic information for decision-making;
Essential tools and techniques for building BI systems.
Why start here?
If you are just starting out in Data Analysis and want to understand how data can support real-world decisions, this book is the ideal choice. It teaches you how to create an analytical view of your business.
Cover of the book "Business Intelligence and Data Analysis for Business Management", 4th edition, with the names of the authors Ramesh Sharda, Dursun Delen and Efraim Turban. The cover has a blue-green background with graphic elements representing network connections with white, green and blue dots interconnected by thin lines.
2. Python for Data Analysis — Wes McKinney
Career Level: Beginner to Intermediate
Applicability: Data manipulation, process automation and pipeline construction.
Written by the creator of the pandas library, this book is an essential guide for professionals who want to master the use of Python in data analysis. It provides practical and accessible examples for data manipulation and transformation.
What will you learn?
Use of the pandas library to manipulate large volumes of data;
Data cleaning and transformation techniques;
Introduction to visualizations and process automation.
Why start here?
This book is ideal for those who want to have autonomy in data manipulation and understand how to use Python to solve practical problems in the area of Data Analysis.
For beginners and intermediate professionals, mastering essential tools and developing an analytical eye are indispensable skills. However, it is still rare to find analysts in the market who know how to interpret data and communicate results that generate an impact on business.
That’s why we’ve selected 6 essential books that will malta email list help you develop your technical and analytical skills. Check out what you can learn from each book and how it can boost your career!
1. Business Intelligence: Business Management Analysis
Career Level: Entry Level
Applicability: Structuring BI systems and using data for strategic decisions.
This book provides a solid foundation for those who are just starting out in the Business Intelligence field. It covers the main concepts, tools and processes needed to structure an efficient BI system in any company.
What will you learn?
The fundamentals of BI, from data collection to analysis and presentation;
How to transform data into strategic information for decision-making;
Essential tools and techniques for building BI systems.
Why start here?
If you are just starting out in Data Analysis and want to understand how data can support real-world decisions, this book is the ideal choice. It teaches you how to create an analytical view of your business.
Cover of the book "Business Intelligence and Data Analysis for Business Management", 4th edition, with the names of the authors Ramesh Sharda, Dursun Delen and Efraim Turban. The cover has a blue-green background with graphic elements representing network connections with white, green and blue dots interconnected by thin lines.
2. Python for Data Analysis — Wes McKinney
Career Level: Beginner to Intermediate
Applicability: Data manipulation, process automation and pipeline construction.
Written by the creator of the pandas library, this book is an essential guide for professionals who want to master the use of Python in data analysis. It provides practical and accessible examples for data manipulation and transformation.
What will you learn?
Use of the pandas library to manipulate large volumes of data;
Data cleaning and transformation techniques;
Introduction to visualizations and process automation.
Why start here?
This book is ideal for those who want to have autonomy in data manipulation and understand how to use Python to solve practical problems in the area of Data Analysis.