{"product_id":"hands-on-data-analysis-with-pandas-second-edition-a-python-data-science-handbook-for-data-collection-wrangling-analysis-and-visualization-paperback","title":"Hands-On Data Analysis with Pandas - Second Edition: A Python data science handbook for data collection, wrangling, analysis, and visualization - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eStefanie Molin\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eGet to grips with pandas - a fast, versatile, and high-performance Python library for data discovery, data manipulation, data preparation, and handling data for analytical tasks\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eKey Features: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003ePerform efficient data analysis and manipulation tasks using pandas 1.x\u003c\/li\u003e\n\u003cli\u003eApply pandas to different real-world domains with the help of step-by-step examples\u003c\/li\u003e\n\u003cli\u003eBecome well-versed in using pandas as an effective data exploration tool\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBook Description: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eData analysis has become an essential skill in a variety of domains where knowing how to work with data and extract insights can generate significant value. Hands-On Data Analysis with Pandas will show you how to analyze your data, get started with machine learning, and work effectively with the Python libraries often used for data science, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eUsing real-world datasets, you will learn how to use the pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will learn how to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding chapters, you will explore some applications of anomaly detection, regression, clustering, and classification using scikit-learn to make predictions based on past data.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThis updated edition will equip you with the skills you need to use pandas 1.x to efficiently perform various data manipulation tasks, reliably reproduce analyses, and visualize your data for effective decision making-valuable knowledge that can be applied across multiple domains.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat You Will Learn: \u003c\/strong\u003e\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eUnderstand how data analysts and scientists gather and analyze data\u003c\/li\u003e\n\u003cli\u003ePerform data analysis and data wrangling using Python\u003c\/li\u003e\n\u003cli\u003eCombine, group, and aggregate data from multiple sources\u003c\/li\u003e\n\u003cli\u003eCreate data visualizations with pandas, matplotlib, and seaborn\u003c\/li\u003e\n\u003cli\u003eApply machine learning algorithms to identify patterns and make predictions\u003c\/li\u003e\n\u003cli\u003eUse Python data science libraries to analyze real-world datasets\u003c\/li\u003e\n\u003cli\u003eSolve common data representation and analysis problems using pandas\u003c\/li\u003e\n\u003cli\u003eBuild Python scripts, modules, and packages for reusable analysis code\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWho this book is for: \u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003eThis book is for data science beginners, data analysts, and Python developers who want to explore each stage of data analysis and scientific computing using a wide range of datasets. You'll also find this book useful if you are a data scientist looking to implement pandas in your machine learning workflow. Working knowledge of the Python programming language will assist with understanding the key concepts covered in this book; however, a Python crash-course tutorial is provided in the code bundle for anyone who needs a refresher.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 788\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.57 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e April 29, 2021\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47212905693433,"sku":"9781800563452","price":97.9,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/ZGRUbGZ5ZzBxZ3RLeCtyMVNEWW9MUT09.webp?v=1768098929","url":"https:\/\/bookscloud.io\/products\/hands-on-data-analysis-with-pandas-second-edition-a-python-data-science-handbook-for-data-collection-wrangling-analysis-and-visualization-paperback","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}