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📚 Welcome to Packt’s Signature Series: The Newest Titles, Handpicked for You! 💡

At BIPro, we've curated the Signature Series edition to keep you ahead in the fast-evolving Business Intelligence world.This handpicked collection of the latest titles from Packt offers practical insights from industry thought leaders to help you master modern data challenges.With the global BI market projected to hit $54.27 billion by 2030, staying ahead is no longer optional—it's essential. The Signature Series provides expert guidance to navigate real-world data issues and lead in the BI space.

"Data is the new oil but refining it into actionable insights is where the true value lies." – Unknown

Why Choose Packt Books?

🔍 Tackle Critical BI Challenges: Our latest titles offer expert insights and practical solutions, drawn from real-world experiences in areas like real-time data management and predictive analytics. Learn from those who’ve faced similar challenges and discover the easiest, most effective tools to excel.

🚀 Learn from the Best: Gain innovative strategies from industry leaders with firsthand experience, equipping you to become a trailblazer in business intelligence.

🎁 Perks of Buying Direct: Enjoy a 30% discount on all eBooks and a 7-day free trial of our online subscription, only at PacktPub.com.

Elevate your BI game with the Signature Series today!

Cheers,

Merlyn Shelley

Editor-in-Chief, Packt

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💥 "In the data-driven world, insights are your superpower. The right book transforms complexity into clarity."

Elevate your data skills with our Signature Series. Handpicked for you, these titles will transform your BI strategy today.

➽ Business Intelligence with Looker Cookbook: Create BI solutions and data applications to explore and share insights in real time

This new book on Looker is perfect for BI engineers and database developers who want to make better use of their data. It helps you visualize, analyze, and report data effortlessly. You'll learn how to connect data sources, build dashboards, and create insightful reports. The book also covers advanced techniques, troubleshooting, and Looker integration with other tools, making your data work smoother and your business decisions smarter. It’s a practical guide to mastering Looker, making your work easier and more efficient.

➽ The Complete Power BI Interview Guide: A modern approach to acing the data analyst interview and landing your dream job

This book is a friendly guide for Business Intelligence engineers preparing for Power BI job interviews. It helps you build confidence by offering tips on everything from creating a strong resume to mastering technical Power BI skills like data modeling and DAX. You'll also learn how to stand out in interviews, tackle tough questions, and handle salary negotiations. By the end, you'll feel ready to land your dream job and excel from day one!

➽ Extending Power BI with Python and R - Second Edition: Perform advanced analysis using the power of analytical languages,Second Edition

This book is perfect for Business Intelligence engineers looking to master Python and R in Power BI. It helps you tackle complex data tasks, like integrating external APIs and applying machine learning models. You’ll learn how to enhance dashboards with advanced visualizations, handle large datasets, and optimize performance using Intel’s MKL. It also covers data security techniques, advanced algorithms, and fuzzy matching. By the end, you’ll have the skills to manipulate data in ways Power BI alone can’t, making your analyses more powerful and efficient.

➽ Python and SQL Bible: From Beginner to World Expert: Unleash the true potential of data analysis and manipulation

This course is great for Business Intelligence professionals wanting to build strong Python and SQL skills. It covers everything from the basics to advanced techniques, helping you master Python programming and SQL queries. You’ll learn to integrate Python with SQL for better data manipulation, perform complex data analysis, and tackle real-world projects. By the end, you'll have the confidence and skills to handle diverse data challenges and become a valuable asset in the tech industry. It’s a practical, hands-on learning experience designed to boost your problem-solving abilities.

➽ Azure Data Engineer Associate Certification Guide - Second Edition: Ace the DP-203 exam with advanced data engineering skills,Second Edition

This book is a helpful guide for data professionals preparing for the DP-203 exam, focusing on Azure data engineering. It teaches you how to design secure data solutions, handle data lakes, and perform complex ETL operations in Azure. With real-world examples and hands-on exercises, you'll gain the skills to confidently manage Azure services like Synapse Analytics and Databricks. By the end, you'll be well-prepared for the exam and equipped to tackle cloud data challenges in your job. It’s all about making your Azure skills strong and exam-ready!

➽ Tableau Certified Data Analyst Certification Guide: Ace the Tableau Data Analyst certification exam with expert guidance and practice material

Unlock your potential as a Tableau Certified Data Analyst with this expert-driven guide. Covering all exam objectives, it offers clear explanations, practical exercises, and mock exams. Whether you're a beginner or experienced user, this book will sharpen your skills in data analysis, visualization, and Tableau Cloud management for certification success.

➽ Building Interactive Dashboards in Microsoft 365 Excel: Harness the new features and formulae in M365 Excel to create dynamic, automated dashboards

This book is your essential guide to mastering Excel for M365, focusing on creating automated, data-driven dashboards. It covers key tools like Power Query, dynamic arrays, and PivotTables, while teaching best practices for data visualization. Build robust dashboards from scratch, transforming complex data into actionable insights with ease and efficiency.

➽ The Definitive Guide to Power Query (M): Mastering complex data transformation with Power Query

This book is a complete guide to mastering Power Query for data transformation, from fundamentals to advanced techniques. With hands-on examples and real-world applications, you'll learn to use the Power Query M language, optimize performance, handle errors, and apply powerful data manipulation strategies to improve your data analysis skills.

➽ Learn Microsoft Fabric: A practical guide to performing data analytics in the era of artificial intelligence

This book delves into Microsoft Fabric, teaching you how to build data analytics solutions for lakehouses, warehouses, and real-time analytics. Through real-world examples, you'll explore data integration, AI-driven insights, and security practices, while mastering tools like Power BI, Spark, and Copilot to enhance performance and productivity in the AI era.

➽ Fundamentals of Analytics Engineering: An introduction to building end-to-end analytics solutions

This book, written by seven industry experts, equips you with essential skills in analytics engineering. You'll learn data pipeline design, data modeling, quality management, and governance, using tools like BigQuery and Tableau. The guide covers advanced topics like CI/CD, automation, and collaborative coding, helping you develop scalable, business-aligned analytics solutions.

➽ Getting Started with DuckDB: A practical guide for accelerating your data science, data analytics, and data engineering workflows

This book introduces DuckDB, a fast in-process analytical database. You'll learn to load, transform, and query diverse data formats using SQL, Python, and R. With hands-on examples, you'll explore DuckDB’s extensions, performance optimizations, and integration with open-source tools and cloud services, empowering you to enhance your data analysis workflows and projects.

➽ Python Data Cleaning Cookbook - Second Edition: Prepare your data for analysis with pandas, NumPy, Matplotlib, scikit-learn, and OpenAI,Second Edition

This book teaches advanced data cleaning techniques using Python, focusing on AI and machine learning tasks. You'll learn to preprocess, clean, and validate large datasets, apply machine learning tools for error detection, and use OpenAI tools for automation. By the end, you'll master efficient data cleaning for AI, ML, and NLP models.

➽ Data Analysis Foundations with Python: Master Data Analysis with Python: From Basics to Advanced Techniques

This book offers a complete guide to mastering data analysis with Python, from basics to advanced techniques. You'll learn to manipulate data using NumPy and Pandas, create visualizations with Matplotlib and Seaborn, apply machine learning, and engage in real-world projects like sales analysis and sentiment analysis, gaining hands-on experience for practical applications.

➽ Data Analytics for Marketing: A practical guide to analyzing marketing data using Python

This book teaches marketing professionals how to use Python libraries like DoWhy, Pandas, and Prophet to analyze marketing data. It covers statistical models, customer insights, causal inference, and data visualization techniques. You'll learn to turn raw data into actionable information, helping to shape data-driven strategies without complex math.

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