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portada Python for Data Analytics: A Beginner’s Guide for Excel Users to Clean, Analyze, and Visualize Business Data with Python, Pandas, and Real-World Projects (Data Analytics and Python Learning)
Type
Physical Book
Publisher
Author
Language
English
Pages
380
Format
Paperback
ISBN13
9798161876626

Python for Data Analytics: A Beginner’s Guide for Excel Users to Clean, Analyze, and Visualize Business Data with Python, Pandas, and Real-World Projects (Data Analytics and Python Learning)

Westbrook, Ethan K. (Author) · Independently published · Paperback

Python for Data Analytics: A Beginner’s Guide for Excel Users to Clean, Analyze, and Visualize Business Data with Python, Pandas, and Real-World Projects (Data Analytics and Python Learning) - Westbrook, Ethan K.

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Synopsis "Python for Data Analytics: A Beginner’s Guide for Excel Users to Clean, Analyze, and Visualize Business Data with Python, Pandas, and Real-World Projects (Data Analytics and Python Learning)"

Stop wrestling with spreadsheets. Start analyzing with Python. Do you spend hours copying, pasting, filtering, and rebuilding the same Excel reports every week? Python for Data Analytics shows Excel users how to do the same work faster, repeatably, and at any scale. It uses Python and pandas, and it assumes no programming experience. You already think in rows, columns, and formulas. This step-by-step beginner’s guide builds on that knowledge. It takes you from the spreadsheet you know to the code that automates it. You will import, clean, combine, summarize, and visualize real business data. Then you will turn the reports you rebuild by hand into scripts you can re-run whenever the data changes. INSIDE, YOU WILL LEARN HOW TO: Translate everyday Excel tasks into pandas. Recreate VLOOKUP-style lookups, filters, sorting, and pivot tables in Python. Clean messy data with confidence. Remove duplicates, handle missing values, and fix inconsistent text and dates. Merge, group, and summarize data. Combine multiple files and turn raw tables into clear business answers. Build clear charts with matplotlib. Visualize sales, profit, and trends, then export your results back to Excel. Automate repetitive reporting. Replace manual, error-prone spreadsheet work with reusable Python scripts. Finish with real-world projects and a capstone. Practice on business datasets provided in the appendices, so you can apply every skill right away. WHO THIS BOOK IS FOR Excel users who want to move beyond formulas, macros, and manual reporting Business analysts, financial analysts, and operations professionals Accountants, marketers, sales teams, and managers who work with data every day Students and career changers starting a path in data analytics Anyone who wants a practical, beginner-friendly introduction to Python for data analysis WHY THIS BOOK IS DIFFERENT Most Python books assume you are a programmer. This one assumes you are an Excel user. Each concept is introduced through spreadsheet tasks you already know, such as lookups, pivot tables, and filters. You learn Python by solving the problems you face at work, instead of memorizing abstract syntax. Whether you want to save hours on weekly reports, make your analysis more accurate, or add Python and pandas to your resume, this guide gives you a clear path from Excel to data analytics. Ready to automate your spreadsheets and analyze data like a pro? Buy your copy today and start turning Excel work into Python scripts you can re-run.

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