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Becoming a Data Analyst
English
156 b
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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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