{"product_id":"practical-data-science-with-python-learn-tools-and-techniques-from-hands-on-examples-to-extract-insights-from-data-9781801071970","title":"Practical Data Science with Python: Learn tools and techniques from hands-on examples to extract insights from data","description":"\u003cp\u003e\u003cstrong\u003eLearn to effectively manage data and execute data science projects from start to finish using Python\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\u003eUnderstand and utilize data science tools in Python, such as specialized machine learning algorithms and statistical modeling\u003c\/li\u003e\n\u003cli\u003eBuild a strong data science foundation with the best data science tools available in Python\u003c\/li\u003e\n\u003cli\u003eAdd value to yourself, your organization, and society by extracting actionable insights from raw data\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\u003ePractical Data Science with Python teaches you core data science concepts, with real-world and realistic examples, and strengthens your grip on the basic as well as advanced principles of data preparation and storage, statistics, probability theory, machine learning, and Python programming, helping you build a solid foundation to gain proficiency in data science.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThe book starts with an overview of basic Python skills and then introduces foundational data science techniques, followed by a thorough explanation of the Python code needed to execute the techniques. You'll understand the code by working through the examples. The code has been broken down into small chunks (a few lines or a function at a time) to enable thorough discussion.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eAs you progress, you will learn how to perform data analysis while exploring the functionalities of key data science Python packages including pandas, SciPy, and scikit-learn. Finally, the book covers ethics and privacy concerns in data science and suggests resources for improving data science skills, as well as ways to stay up to date on new data science developments.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eBy the end of the book, you should be able to comfortably use Python for basic data science projects and should have skills to execute the data science process on any data source.\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\u003eUse Python data science packages effectively\u003c\/li\u003e\n\u003cli\u003eClean and prepare data for data science work, including feature engineering and feature selection\u003c\/li\u003e\n\u003cli\u003eData modelling, including classic statistical models (e.g., t-tests), and essential machine learning (ML) algorithms, such as random forests and boosted models\u003c\/li\u003e\n\u003cli\u003eEvaluate model performance\u003c\/li\u003e\n\u003cli\u003eCompare and understand different ML methods\u003c\/li\u003e\n\u003cli\u003eInteract with Excel spreadsheets through Python\u003c\/li\u003e\n\u003cli\u003eCreate automated data science reports through Python\u003c\/li\u003e\n\u003cli\u003eGet to grips with text analytics techniques\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\u003eThe book is intended for beginners, including students starting or about to start a data science, analytics, or related program (e.g. Bachelor's, Master's, bootcamp, online courses), recent college graduates who want to learn new skills to set them apart in the job market, professionals who want to learn hands-on data science techniques in Python, and those who want to shift their career to data science.\u003c\/p\u003e\u003cp\u003e\u003cbr\u003e\u003c\/p\u003e\u003cp\u003eThe book requires basic familiarity with Python. A \"getting started with Python\" section has been included to get complete novices up to speed.\u003c\/p\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003cb\u003e\u003ci\u003eGeorge, Nathan:\u003c\/i\u003e\u003c\/b\u003e - Nathan George is a data scientist at Tink in Stockholm, Sweden, and taught data science as a professor at Regis University in Denver, CO for over 4 years. Nathan has created online courses on Pythonic data science and uses Python data science tools for electroencephalography (EEG) research with the OpenBCI headset and public EEG data. His education includes the Galvanize data science immersive, a PhD from UCSB in Chemical Engineering, and a BS in Chemical Engineering from the Colorado School of Mines.","brand":"Packt Publishing","offers":[{"title":"Default Title","offer_id":50507875189010,"sku":"9781801071970","price":50.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0831\/4771\/8930\/files\/img_d18b7e8d-0478-4a41-8357-3620c6806eff.jpg?v=1730869362","url":"https:\/\/surprise-castle.myshopify.com\/products\/practical-data-science-with-python-learn-tools-and-techniques-from-hands-on-examples-to-extract-insights-from-data-9781801071970","provider":"Surprise Castle","version":"1.0","type":"link"}