Sql For Data Analysis
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SQL for Data Analysis
Author: Cathy Tanimura
language: en
Publisher: "O'Reilly Media, Inc."
Release Date: 2021-09-09
With the explosion of data, computing power, and cloud data warehouses, SQL has become an even more indispensable tool for the savvy analyst or data scientist. This practical book reveals new and hidden ways to improve your SQL skills, solve problems, and make the most of SQL as part of your workflow. You'll learn how to use both common and exotic SQL functions such as joins, window functions, subqueries, and regular expressions in new, innovative ways--as well as how to combine SQL techniques to accomplish your goals faster, with understandable code. If you work with SQL databases, this is a must-have reference. Learn the key steps for preparing your data for analysis Perform time series analysis using SQL's date and time manipulations Use cohort analysis to investigate how groups change over time Use SQL's powerful functions and operators for text analysis Detect outliers in your data and replace them with alternate values Establish causality using experiment analysis, also known as A/B testing
SQL FOR DATA ANALYSIS
Author: Maxim Brooks
language: en
Publisher: Oladosun Mopelola Opeyemi
Release Date: 2025-07-08
Master SQL and Gain Profound Analytical Insights from Your Data Do you possess foundational SQL skills but find yourself struggling to truly transform raw information into valuable business intelligence? Are you ready to move beyond basic data retrieval and cultivate the ability to identify hidden patterns and influence strategic decisions? If that describes your ambition, then this comprehensive guide is your essential next step. SQL for Data Analysis: A Comprehensive Guide to Querying, Transforming, and Gaining Powerful Analytics Insights bridges the gap between fundamental SQL knowledge and the advanced analytical capabilities essential in today's data-driven landscape. You'll progress from simply pulling data to confidently shaping it, revealing actionable insights that can advance your career and benefit your organization. You'll learn to approach data with the critical mindset of a seasoned analytics professional, equipped with the SQL expertise to tackle real-world challenges. Through clear explanations, relatable examples, and practical scenarios, you'll build the confidence to not just write correct SQL, but to write SQL that delivers significant value. Upon completing this guide, you won't just be a SQL user; you'll be a data analysis powerhouse, capable of querying, transforming, and extracting powerful insights from any relational dataset. What You Will Master: · Foundational Querying: Learn to retrieve data precisely. · Aggregating and Summarizing Data: Master calculations with COUNT, SUM, AVG, MIN, MAX, GROUP BY, and HAVING. · Joining Data from Multiple Tables: Confidently combine information using INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL OUTER JOIN, and self-joins. · Advanced Querying Techniques: Use subqueries, Common Table Expressions (CTEs), and set operators. · Data Transformation and Manipulation: Clean, standardize, and reshape data with string, numeric, and date functions. · Enhancing Analytics with Advanced SQL Features: Apply complex window functions and understand recursive CTEs. · Performance Tuning and Best Practices: Interpret execution plans, optimize queries, and use indexing strategies for faster results. · And much more. Who This Book Is For: This book is crafted for anyone who seeks to understand, manipulate, and extract value from data. Whether you are an aspiring data analyst, a business intelligence professional, a marketing specialist, a product manager, or a student eager to enter the data-driven landscape, this guide is designed for you. Ready to transform your data skills and become an indispensable analytical asset? Scroll up and click the "Buy Now" button to start your journey to data mastery!
SQL for Data Analytics
Level up from basic SQL to advanced, analytics-grade data analysis and use real PostgreSQL datasets, modern features, and practical business scenarios to turn raw data into clear, actionable insights. Free with your book: DRM-free PDF version + access to Packt's next-gen Reader* Key Features Solve real business problems with advanced SQL techniques Work with time-series, geospatial, and text data using PostgreSQL Build job-ready data analysis skills with hands-on SQL projects Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionSQL remains one of the most essential tools for modern data analysis and mastering it can set you apart in a competitive data landscape. This book helps you go beyond basic query writing to develop a deep, practical understanding of how SQL powers real-world decision-making. SQL for Data Analytics, Fourth Edition, is for anyone who wants to go beyond basic SQL syntax and confidently analyze real-world data. Whether you're trying to make sense of production data for the first time or upgrading your analytics toolkit, this book gives you the skills to turn data into actionable outcomes. You'll start by creating and managing structured databases before advancing to data retrieval, transformation, and summarization. From there, you’ll take on more complex tasks such as window functions, statistical operations, and analyzing geospatial, time-series, and text data. With hands-on exercises, case studies, and detailed guidance throughout, this book prepares you to apply SQL in everyday business contexts, whether you're cleaning data, building dashboards, or presenting findings to stakeholders. By the end, you'll have a powerful SQL toolkit that translates directly to the work analysts do every day. *Email sign-up and proof of purchase requiredWhat you will learn Write SQL Queries to explore and analyze structured data. Use JOINs, subqueries, views, and CTEs to build analytics-ready datasets Apply window functions to identify trends, patterns, and cohort behavior Perform statistical analysis and hypothesis testing directly in SQL Analyze JSON, arrays, text, geospatial, and time-series data Improve SQL performance with indexing strategies and query plan optimization Load data with Python and automate analytics workflows Complete a full case study simulating a real-world data analysis project Who this book is for This book is for aspiring and early-career data analysts, data engineers, backend developers, business analysts, and students who want to apply SQL to real-world data analytics. You should have basic SQL familiarity and college-level math knowledge, along with the desire to advance toward analytics-grade SQL, data transformation, pattern discovery, and business insight generation.