Complete Guide to Modern Data Analysis (SQL, Python Pandas, Azure, Git, Excel, and more) by Nick Obank
English | September 18, 2025 | ISBN: N/A | ASIN: B0FRMTLS9T | 189 pages | EPUB | 0.21 Mb
This comprehensive guide serves as an essential foundation for building a professional data analysis career, systematically progressing from foundational concepts to production-ready workflows. It delivers a structured learning path through SQL mastery (from fundamentals through advanced querying, data manipulation, database design, and performance optimization with real-world applications) and Python proficiency (covering financial applications, NumPy arrays, Pandas data manipulation, visualization techniques, and advanced analytical methods). The guide then transitions into modern data engineering practices, covering the complete development lifecycle including version control with Git/GitHub, AI-assisted development using Claude Code, Azure DevOps CI/CD pipelines, and data transformation workflows with dbt. The final section provides practical Excel competency for business analysis, encompassing core functionality, analytical techniques, and power features including Power Query transformations, dynamic arrays, and advanced formula construction-equipping you with the full toolkit needed to excel in data-driven decision making across technical and business contexts.
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