Data Analysis with Microsoft Excel is your practical guide to turning raw numbers into clear insights—no programming experience required. Whether you're a student, business professional, or aspiring analyst, this book walks you through the real-world techniques used to make data-driven decisions with confidence.

From mastering formulas and functions to building dashboards and using tools like PivotTables, Goal Seek, Solver, and Data Tables, you’ll learn how to analyze, visualize, and communicate data effectively. The book blends step-by-step instructions with practical examples, making even advanced topics like forecasting, scenario analysis, and dynamic charts easy to understand and apply.

Inside, you'll discover how to:

• Clean and prepare data for analysis

• Use Excel’s built-in tools to explore and summarize data

• Apply logical and statistical functions to solve real business problems

• Create compelling charts, dashboards, and reports

• Perform what-if analysis using Goal Seek, Scenario Manager, and Solver

• Work with large datasets using PivotTables and Power Query

Whether you're handling sales reports, customer data, or research metrics, Data Analysis with Microsoft Excel gives you the tools to turn your spreadsheets into smart decisions.

Programming in C# is a hands-on guide to building powerful, modern applications using one of the world’s most versatile programming languages. Designed for beginners and intermediate developers, this course (or book) covers the essentials of C# syntax, object-oriented programming, and real-world application development.

You’ll learn how to write clean, efficient code using C# and the .NET framework, while developing problem-solving skills that translate directly into desktop, web, and enterprise development. Packed with examples, exercises, and best practices, this resource helps you build a solid foundation in modern software development.

Python for Data Analysis is your practical, no-nonsense guide to mastering the tools and techniques used by real-world data professionals. Whether you're new to programming or looking to transition into data analysis, this book teaches you how to use Python to clean, explore, visualize, and understand data—step by step.

Built around hands-on examples and real datasets, this book focuses on what matters most: turning raw data into insights using powerful Python libraries like Pandas, NumPy, Matplotlib, and Seaborn. You’ll learn how to manipulate data tables, create visualizations, perform basic statistics, and build workflows that are efficient and repeatable.

Mastering SQL is the ultimate guide for anyone looking to build real-world data skills using Structured Query Language (SQL)—the backbone of data retrieval and manipulation in modern databases.

Whether you're a beginner aiming to land your first data role, or a professional looking to sharpen your analytics toolkit, this book takes you from the basics to advanced techniques with clarity and precision. You’ll learn how to write efficient queries, work with multiple tables, manage data securely, and extract meaningful insights from structured data.

Through step-by-step tutorials, hands-on exercises, and real-world examples, you'll gain confidence in using SQL for tasks ranging from simple data lookups to complex reporting and analysis.

Data Analysis with Power BI is your practical guide to transforming raw data into clear, actionable insights using Microsoft Power BI—one of the most powerful and widely used business intelligence tools in the world.

Whether you're a beginner or an aspiring analyst, this book walks you through the complete data analysis process—from connecting to data sources and cleaning datasets to building interactive dashboards and sharing insights with decision-makers.