Applied Data Analytics for Professionals From SQL & Python to Machine Learning and Business Insights

This hands-on guide is designed for professionals who already understand the basics of analytics and want to advance into real-world applications. Moving beyond simple charts and dashboards, this book shows you how to combine SQL, Python, and machine learning to deliver powerful insights that drive business decisions.
Packed with code examples, practical exercises, case studies, and projects, this book bridges the gap between learning analytics and applying it in industries like finance, healthcare, marketing, and retail.
You'll learn how to:
Write advanced SQL queries, optimize performance, and design analytics-ready databases.
Master Python for professional data analysis (Pandas, NumPy, MatDescriptionlib, Seaborn).
Build predictive models with regression, classification, clustering, and anomaly detection.
Apply analytics to real-world case studies like fraud detection, customer churn, and sales forecasting.
Develop dashboards and storytelling reports that speak to executives and stakeholders.
Create a professional portfolio that showcases your analytics expertise.
Perfect for: Professionals, graduate students, business analysts, and anyone ready to move beyond beginner analytics into applied, professional-level data science.
Whether you are an analyst, data engineer, business intelligence developer, or aspiring data scientist, this book equips you with the tools and knowledge to transform raw data into actionable business intelligence.

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