SQL for Data Analysis - Harnessing the Power of SQL for Insightful Data Exploration
SAM CAMPBELL
Narrateur Rayan Mitchell
Maison d'édition: Sam Campbell
Synopsis
Dive into the world of data analysis with "SQL for Data Analysis: Harnessing the Power of SQL for Insightful Data Exploration," your essential guide to becoming proficient in using Structured Query Language (SQL) to uncover insights from data. Designed specifically for beginners, this book demystifies SQL, making it accessible to anyone with an interest in data analysis, regardless of their background. SQL is the cornerstone of effective data analysis and is a must-know for aspiring data analysts, marketers, business analysts, and anyone who finds themselves working with data. This book starts from the fundamentals, introducing you to databases and how SQL is used to communicate with them. You'll learn about tables, data types, and schemas, setting a solid foundation for more advanced topics. "SQL for Data Analysis: Harnessing the Power of SQL for Insightful Data Exploration" guides you step by step through the process of writing SQL queries to manipulate and query data effectively. You'll learn how to filter, sort, and aggregate data to answer real-world questions. Each chapter introduces a new concept or command, from basic SELECT statements to JOINs and subqueries, with clear explanations and practical examples. As data continues to play a critical role in decision-making across industries, the skills you'll acquire from this book are highly valuable and widely applicable. "SQL for Data Analysis" also provides guidance on how to continue advancing your SQL skills, including resources for further learning and how to stay up-to-date with SQL standards and best practices. "SQL for Data Analysis: Harnessing the Power of SQL for Insightful Data Exploration" offers a clear, comprehensive, and engaging path to mastering SQL and unlocking the potential of data analysis to inform decisions, solve problems, and drive strategies.
Durée: environ 4 heures (03:46:32) Date de publication: 27/10/2024; Unabridged; Copyright Year: — Copyright Statment: —