S Hussain SQL & Data Analytics

MASTER SQL. ANALYZE DATA. BUILD REAL PROJECTS. BECOME JOB-READY. Want to become a data analyst but don't know where to start? SQL & DATA ANALYTICS: From Beginner to Job-Ready Data Analyst takes you from data analytics fundamentals to practical, job-focused skills used to work with data, solve business problems, build dashboards, create projects, and prepare for data analyst interviews. You don't need to be an expert programmer or statistician. Learn SQL step by step, work with real-world data, and develop the skills needed to turn raw data into meaningful insights. LEARN THE DATA ANALYST WORKFLOW Understand the problem ¿ Query the data ¿ Clean the data ¿ Analyze it ¿ Visualize it ¿ Find insights ¿ Communicate the results. MASTER SQL FOR DATA ANALYSIS Build a strong SQL foundation and progress toward advanced techniques: • SELECT, filtering, sorting, and expressions • Aggregations and GROUP BY • JOINs and relational data • Subqueries and correlated subqueries • Common Table Expressions (CTEs) • Window functions • Date and time analysis • Conditional aggregation • Query performance and execution plans • Practical SQL problem-solving DATA CLEANING & PREPARATION Learn to work with imperfect data by identifying missing values, duplicates, inconsistent values, incorrect data types, outliers, and other common data-quality problems. EXCEL, PYTHON & STATISTICS Develop practical Excel skills with formulas, tables, PivotTables, charts, and data analysis techniques. Use Python and DataFrames to clean, transform, explore, and analyze datasets. Build the statistical foundation needed to understand distributions, correlation, relationships, uncertainty, and analytical results. POWER BI & DATA VISUALIZATION Transform data into interactive reports and dashboards using Power Query, data modelling, DAX, filters, drill-downs, cross-filtering, and effective visualization principles. BUILD REAL DATA ANALYTICS PROJECTS Apply your skills through practical projects covering: • Sales Analytics - sales performance, trends, customers, and concentration risk. • E-Commerce Analytics - customer behavior using SQL and Python. • Workforce Analytics - workforce analysis and Power BI reporting. • Financial Analytics - investigating financial performance using multiple tools. • Marketing Analytics - analyzing marketing and customer data. • Customer Support Analytics - exploring support activity and business insights. These projects help you practice the complete analytics workflow and develop portfolio-ready experience. PREPARE FOR A DATA ANALYST CAREER Go beyond technical skills with guidance on: • Data analyst portfolio development • GitHub project organization • Real-world case studies • SQL interview questions • Data analyst interview preparation • Presenting analytical findings • Building practical projects • Practice tests and final assessment WHO IS THIS BOOK FOR? Ideal for beginners in data analytics, aspiring data analysts, students, recent graduates, career changers, Excel users, Python learners, Power BI learners, SQL interview candidates, and anyone building a data analyst portfolio. BUILD YOUR DATA ANALYTICS TOOLKIT SQL + Excel + Python + Statistics + Power BI + Data Visualization + Real-World Projects Learn how these skills work together to answer business questions, discover patterns, communicate insights, and make data more useful. Don't just learn SQL. Learn how to use data. Start your journey toward becoming a job-ready data analyst today.