{"product_id":"b0f3w9b5m5","title":"Mastering Data Analysis With Python: Wrangle, Clean, Analyze, and Visualize Data from Scratch","description":"\u003cp\u003eMaster the art and science of data analysis with Python—no experience required.\u003c\/p\u003e\n\n\u003cp\u003eWhether you're a student exploring data for the first time, a professional looking to upskill, or an aspiring analyst preparing for your first role,  Data Analysis with Python: Wrangle, Clean, and Analyze with pandas, NumPy, and More  is your complete, hands-on guide to turning raw data into real-world insights.\u003c\/p\u003e\n\n\u003cp\u003eThis comprehensive book walks you through the full lifecycle of data analysis—starting with foundational concepts and Python programming, and guiding you through data wrangling, statistical analysis, visualizations, and project-based applications. With a strong emphasis on practical skills, industry best practices, and interactive exploration using Jupyter Notebooks, you’ll gain the confidence to tackle real data problems with clarity and precision.\u003c\/p\u003e\n\n\u003cp\u003eInside, you’ll learn how to:\u003c\/p\u003e\n\n\u003cp\u003eBuild a strong foundation in data analysis : Understand key definitions, lifecycle stages, data types, formats, and use cases across industries.\u003c\/p\u003e\n\n\u003cp\u003eGet up to speed with Python : Set up your environment, master Python syntax, control flow, functions, file handling, and data structures—even if you’re new to coding.\u003c\/p\u003e\n\n\u003cp\u003eWork with essential libraries : Develop hands-on fluency with NumPy, pandas, Matplotlib, seaborn, and scikit-learn, and know when to use each.\u003c\/p\u003e\n\n\u003cp\u003eWrangle and clean messy data : Learn techniques for filtering, reshaping, string manipulation, handling missing values, and fixing inconsistent formats.\u003c\/p\u003e\n\n\u003cp\u003eAggregate and combine datasets : Use advanced grouping, merging, joining, and hierarchical indexing strategies to analyze large and complex data.\u003c\/p\u003e\n\n\u003cp\u003eAnalyze time-based and structured data : Explore time series, apply rolling statistics, and manage temporal trends with pandas.\u003c\/p\u003e\n\n\u003cp\u003eCreate clear, compelling visualizations : Tell data stories through well-designed plots using both Matplotlib and seaborn, with export-ready graphics.\u003c\/p\u003e\n\n\u003cp\u003eUnderstand statistics the right way : Go from descriptive summaries to inferential statistics with concepts like hypothesis testing, p-values, confidence intervals, and correlation vs. causation.\u003c\/p\u003e\n\n\u003cp\u003ePerform in-depth Exploratory Data Analysis (EDA) : Discover variable relationships, detect outliers, and automate EDA using tools like pandas_profiling and sweetviz.\u003c\/p\u003e\n\n\u003cp\u003eOptimize for performance at scale : Learn how to work with large datasets using Polars, Dask, and PyArrow, along with memory optimization tips.\u003c\/p\u003e\n\n\u003cp\u003eHandle unstructured and external data : Scrape the web, process text files, and consume APIs and JSON for richer datasets.\u003c\/p\u003e\n\n\u003cp\u003eConnect to databases and automate workflows : Use pandas and SQLAlchemy to interact with SQL databases, schedule tasks, and generate reports and dashboards.\u003c\/p\u003e\n\n\u003cp\u003eDeliver complete, polished projects : Apply everything you've learned in a full end-to-end data analysis project, ideal for portfolios and real-world practice.\u003c\/p\u003e\n\n\u003cp\u003eWith  review questions, hands-on exercises , and a  complete Jupyter Notebook appendix , this book is more than a guide—it’s your personal data analysis toolkit.\u003c\/p\u003e\n\n\u003cp\u003eWhether you're just getting started or aiming to deepen your skillset, this book will help you move from beginner to confident data analyst—one clean dataset at a time.\u003c\/p\u003e","brand":"ANT","offers":[{"title":"Ebook","offer_id":67883027562741,"sku":"YSL28266","price":11.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/8774\/8597\/files\/61eXCpIK6LL._SY1500.jpg?v=1793284194","url":"https:\/\/www.newbooks.store\/products\/b0f3w9b5m5","provider":"NewBooks","version":"1.0","type":"link"}