Data Wrangling with SQL: A hands-on guide to manipulating, wrangling, and engineering data using SQL 1st Edition

"Data Wrangling with SQL" by Raghav and Shivangi emerges as a substantial contribution to the field of data science, particularly for those looking to build their SQL skills. The authors meticulously cover a broad spectrum of topics, guiding readers from foundational SQL concepts through to advanced data manipulation techniques. This hands-on guide is structured in a way that facilitates continuous learning, with chapters that logically progress in difficulty. One of the book's strongest features is its emphasis on practical applications. Each chapter not only presents theoretical knowledge but also includes real-world exercises that reinforce learning. Readers are able to gain confidence in their abilities through these hands-on tasks, which address common industry challenges. The comprehensive coverage ranges from date-time functions to query optimization, making it a beneficial resource for both beginners and experienced professionals. However, the book does have its flaws. Some users reported a disconnect in certain chapters, leading to confusion when encountering tools or concepts that were inadequately explained, such as the MySQL Workbench. The lack of organized progression can leave readers feeling lost, particularly those new to SQL, as vital instructions on integrating various tools with the content are often missing. Issues such as incorrect code snippets and oversight of certain practical applications detract from the overall learning experience. Despite these criticisms, "Data Wrangling with SQL" remains an essential read for anyone eager to enhance their SQL proficiency. The authors successfully navigate through complex subjects in an engaging manner, making the book a valuable tool for both self-study and referencing. **