Overview

Becoming a Data Analyst provides hands-on instruction across tools and technologies, including Excel, SQL, Python, R, and modern Business Intelligence platforms, while emphasizing practical applications in business decision-making. The book includes: * Step-by-step implementations of data cleaning and preprocessing techniques * Detailed coverage of statistical methods and exploratory data analysis * Practical instruction in SQL, Python, R, and Excel for data analysis * Advanced topics in machine learning, big data, and cloud computing * Guidance on data visualization and dashboard creation * Business intelligence tool integration and best practices * Data warehousing and ETL process implementations * Ethics and data privacy compliance frameworks * Career development resources and interview preparation materials

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