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All the  essential components of data science & analysis development workflows for all your complex programming needs are covered here in the latest updated Data Science Bundle 2nd Edition With 20 easy-to-follow eBooks across three tiers, featuring 7 all new-to-Fanatical titles, you’ll tackle the most sophisticated problems, build a working relationship & understanding of Data Science and use the likes of Python and its extensive libraries to power your way to new levels of data insight, as well as applying data science to successful marketing campaigns & projects. Tier One introduces four eBooks: Data Science Algorithms in a Week 2nd Edition, which shows you with step by step instructions, on how to build a strong foundation of machine learning algorithms in 7 days,  while PythonData Science Essentials 3rd Edition will help you succeed in data science operations using the most common Python libraries. With Tier Two, you’ll not only get Tier One’s content, but also an additional 8 eBooks; Data science and machine learning can transform any organization, so unlock new opportunities & efficiently manage and improve your data science projects through the use of DevOps and ModelOps; Managing Data Science will show you how. With Hands-On Data Analysis with Pandas, you’ll combine, group, and aggregate data from multiple sources, as well as build Python scripts, modules, and packages for reusable analysis code & if Scala is where you’re looking, Hands-On Data Analysis with ScalaScala will take you into Scala's advanced techniques for solving real-world problems in data analysis.  Explore data science using Python, statistical techniques, EDA, NumPy, Pandas, Scikit Learn, and more with Practical Data Science Using Python Opt for Tier Three and you’ll receive all 20 eBooks in this bundle. Big Data Analysis with Python will teach you how to get to grips with processing large volumes of data and presenting in engaging, interactive ways, and step up your Python data science education further with Essential PySpark for Scalable Data Analytics Discover techniques to summarise the characteristics of your data using PyPlot, NumPy, SciPy, and Pandas with another hands-on guide book: Hands-On Exploratory Data Analysis with Python & if you’re working with Java, the Java Data Science Cookbook will help you with recipes to help you overcome your data science hurdles.  All these and much more with books available in both  EPUB and PDF formats.