Prepare for Microsoft Exam PL-900. Demonstrate your real-world knowledge of the fundamentals of Microsoft Power Platform, including its business value, core components, and the capabilities and advantages of Power BI, Power Apps, Power Automate, and Power Virtual Agents. Designed for business users, functional consultants, and other professionals, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified: Power Platform Fundamentals level. Focus on the expertise measured by these objectives: Describe the business value of Power Platform Identify the Core Components of Power Platform Demonstrate the capabilities of Power BI Demonstrate the capabilities of Power Apps Demonstrate the capabilities of Power Automate Demonstrate the capabilities of Power Virtual Agents This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you are a business user, functional consultant, or other professional who wants to improve productivity by automating business processes, analyzing data, creating simple app experiences, or developing business enhancements to Microsoft cloud solutions. About the Exam Exam PL-900 focuses on knowledge needed to describe the value of Power Platform services and of extending solutions; describe Power Platform administration and security; describe Common Data Service, Connectors, and AI Builder; identify common Power BI components; connect to and consume data; build basic dashboards with Power BI; identify common Power Apps components; build basic canvas and model-driven apps; describe Power Apps portals; identify common Power Automate components; build basic flows; describe Power Virtual Agents capabilities; and build and publish basic chatbots. About Microsoft Certification Passing this exam fulfills your requirements for the Microsoft Certified: Power Platform Fundamentals certification, demonstrating your understanding of Power Platforms core capabilitiesfrom business value and core product capabilities to building simple apps, connecting data sources, automating basic business processes, creating dashboards, and creating chatbots. With this certification, you can move on to earn specialist certifications covering more advanced aspects of Power Apps and Power BI, including Microsoft Certified: Power Platform App Maker Associate and Power Platform Data Analyst Associate. See full details at: microsoft.com/learn

Microsoft Power Platform Enterprise Architecture is your essential guide to designing powerful, enterprise-grade solutions using Microsoft technology. This thoroughly structured book equips you with architectural insights, methodologies, and best practices necessary to optimize solutions using the Microsoft Power Platform and integrate them seamlessly with M365 and Azure. What this Book will help me do Design robust enterprise solutions leveraging Microsoft Power Platform and Dynamics 365. Integrate Power Platform tools with Microsoft 365 and Azure effectively for comprehensive solutions. Implement advanced security, extensibility, and lifecycle management methodologies. Migrate and manage data efficiently within the Power Platform ecosystem. Overcome architectural challenges in multi-system integration using proven techniques. Author(s) Robert Rybaric, the author of this book, is an experienced enterprise architect specializing in Microsoft technologies. With years of expertise in designing enterprise systems, Robert brings practical insights into crafting effective solutions using Microsoft Power Platform. His approach emphasizes clarity and practicality, ensuring concepts are both illustrative and applicable for readers. Who is it for? This book is ideal for enterprise architects and technical decision-makers aiming to design and deploy complex solutions using the Microsoft Power Platform. It is tailored for professionals with familiarity with Microsoft Power Platform and Azure services who wish to refine their skills in enterprise architecture to meet growing business demands efficiently.

Discover the power of transforming raw data into actionable insights with "Microsoft Power BI Quick Start Guide." This comprehensive guide introduces you to the core functionalities of Power BI, emphasizing practical demonstration on building data models, visualizations, and streamlining business intelligence processes. By following this book, you'll elevate your data analysis and storytelling skills. What this Book will help me do Connect and import data from various sources into Power BI. Master the usage of Power Query Editor for efficient data cleansing. Create effective and visually appealing Power BI dashboards. Understand and implement data security features, such as row-level and column-level security. Administer a Power BI environment effectively, including tenant management and cloud deployments. Author(s) Devin Knight, Erin Ostrowsky, Mitchell Pearson, and Bradley Schacht are seasoned experts in the field of data analysis and business intelligence. With years of practical experience, they bring a wealth of knowledge in Power BI and data visualization. Their passion for educating others is evident in their clear, approachable, and structured writing style. Who is it for? This book is designed for professionals seeking to delve into Microsoft Power BI's functionalities. Ideal readers include business analysts, data professionals, or enthusiasts aiming to transition from Excel-based solutions to BI platforms. Both beginners wanting to learn BI concepts and intermediate users looking to solidify their Power BI skills will benefit greatly.

Microsoft Power BI is a data analytics and visualization tool powerful enough for the most demanding data scientists, but accessible enough for everyday use for anyone who needs to get more from data. The market has many books designed to train and equip professional data analysts to use Power BI, but few of them make this tool accessible to anyone who wants to get up to speed on their own. This streamlined intro to Power BI covers all the foundational aspects and features you need to go from "zero to hero" with data and visualizations. Whether you work with large, complex datasets or work in Microsoft Excel, author Jeremey Arnold shows you how to teach yourself Power BI and use it confidently as a regular data analysis and reporting tool. You'll learn how to: Import, manipulate, visualize, and investigate data in Power BI Approach solutions for both self-service and enterprise BI Use Power BI in your organization's business intelligence strategy Produce effective reports and dashboards Create environments for sharing reports and managing data access with your team Determine the right solution for using Power BI offerings based on size, security, and computational needs

Discover how to leverage the full potential of Domo, a robust cloud-based business intelligence platform, in your organization. This comprehensive guide walks you through data integration, transformation, visualization, and governance techniques, enabling you to deliver impactful, data-driven results quickly and effectively. What this Book will help me do Understand and utilize Domo's cloud data architecture for comprehensive data analysis. Seamlessly acquire and manage data using Domo connectors and tools. Create and customize dashboards that communicate data insights effectively. Build and deploy Python applications and machine learning models on Domo. Securely govern your organization's data with robust Domo features. Author(s) The author, None Burtenshaw, is an expert in business intelligence and data platforms. With years of experience working with data integration tools, their writing combines technical thoroughness with practical insights. They aim to empower professionals with the skills to excel in data-driven decision making, reflecting their passion for making technology accessible and actionable. Who is it for? This book is ideal for business intelligence professionals, including developers and analysts, looking to elevate their understanding of Domo. It is suited for those with a fundamental knowledge of data platforms seeking advanced skills in data management and visualization. BI managers will gain insights into governance and security, while analysts will find inspiration for data storytelling. If you're aiming to master the possibilities of Domo, this book is for you.

"Microsoft Power BI Performance Best Practices" is a thorough guide to mastering efficiently operating Power BI solutions. This book walks you through optimizing every layer of a Power BI project, from data transformations to architecture, equipping you with the ability to create robust and scalable analytics solutions. What this Book will help me do Understand how to set realistic performance goals for Power BI projects and implement ongoing performance monitoring. Apply effective architectural and configuration strategies to improve Power BI solution efficiency. Learn practices for constructing and optimizing data models and implementing Row-Level Security effectively. Utilize tools like DAX Studio and VertiPaq Analyzer to detect and resolve common performance bottlenecks. Gain deep knowledge of Power BI Premium and techniques for handling large-scale data solutions using Azure. Author(s) Bhavik Merchant is a recognized expert in business intelligence and analytics solutions. With extensive experience in designing and implementing Power BI solutions across industries, he brings a pragmatic approach to solving performance issues in Power BI. Bhavik's writing style reflects his passion for teaching, ensuring readers gain practical knowledge they can directly apply to their work. Who is it for? This book is designed for data analysts, BI developers, and data professionals who have foundational knowledge of Power BI and aim to elevate their skills to construct high-performance analytics solutions. It is particularly suited to individuals seeking guidance on best practices and tools for optimizing Power BI applications.

BIOINFORMATICS AND MEDICAL APPLICATIONS The main topics addressed in this book are big data analytics problems in bioinformatics research such as microarray data analysis, sequence analysis, genomics-based analytics, disease network analysis, techniques for big data analytics, and health information technology. Bioinformatics and Medical Applications: Big Data Using Deep Learning Algorithms analyses massive biological datasets using computational approaches and the latest cutting-edge technologies to capture and interpret biological data. The book delivers various bioinformatics computational methods used to identify diseases at an early stage by assembling cutting-edge resources into a single collection designed to enlighten the reader on topics focusing on computer science, mathematics, and biology. In modern biology and medicine, bioinformatics is critical for data management. This book explains the bioinformatician’s important tools and examines how they are used to evaluate biological data and advance disease knowledge. The editors have curated a distinguished group of perceptive and concise chapters that presents the current state of medical treatments and systems and offers emerging solutions for a more personalized approach to healthcare. Applying deep learning techniques for data-driven solutions in health information allows automated analysis whose method can be more advantageous in supporting the problems arising from medical and health-related information. Audience The primary audience for the book includes specialists, researchers, postgraduates, designers, experts, and engineers, who are occupied with biometric research and security-related issues.

INTERNET OF MEDICAL THINGS (IOMT) Providing an essential addition to the reference material available in the field of IoMT, this timely publication covers a range of applied research on healthcare, biomedical data mining, and the security and privacy of health records. With their ability to collect, analyze and transmit health data, IoMT tools are rapidly changing healthcare delivery. For patients and clinicians, these applications are playing a central part in tracking and preventing chronic illnesses — and they are poised to evolve the future of care. In this book, the authors explore the potential applications of a wave of sensor-based tools—including wearables and stand-alone devices for remote patient monitoring—and the marriage of internet-connected medical devices with patient information that ultimately sets the IoMT ecosystem apart. This book demonstrates the connectivity between medical devices and sensors is streamlining clinical workflow management and leading to an overall improvement in patient care, both inside care facilities and in remote locations.

IoT-Enabled Smart Healthcare Systems, Services and Applications Explore the latest healthcare applications of cutting-edge technologies In IoT-Enabled Smart Healthcare Systems, Services and Applications, an accomplished team of researchers delivers an insightful and comprehensive exploration of the roles played by cutting-edge technologies in modern healthcare delivery. The distinguished editors have included resources from a diverse array of learned experts in the field that combine to create a broad examination of a rapidly developing field. With a particular focus on Internet of Things (IoT) technologies, readers will discover how new technologies are impacting healthcare applications from remote monitoring systems to entire healthcare delivery methodologies. After an introduction to the role of emerging technologies in smart health care, this volume includes treatments of ICN-Fog computing, edge computing, security and privacy, IoT architecture, vehicular ad-hoc networks (VANETs), and patient surveillance systems, all in the context of healthcare delivery. Readers will also find: A thorough introduction to ICN-Fog computing for IoT based healthcare, including its architecture and challenges Comprehensive explorations of Internet of Things enabled software defined networking for edge computing in healthcare Practical discussions of a review of e-healthcare systems in India and Thailand, as well as the security and privacy issues that arise through the use of smart healthcare systems using Internet of Things devices In-depth examinations of the architecture and applications of an Internet of Things based healthcare system Perfect for healthcare practitioners and allied health professionals, hospital administrators, and technology professionals, IoT-Enabled Smart Healthcare Systems, Services and Applications is an indispensable addition to the libraries of healthcare regulators and policymakers seeking a one-stop resource that explains cutting-edge technologies in modern healthcare.

Delve into advanced Data Analysis Expressions (DAX) concepts and Power BI capabilities with Extreme DAX, designed to elevate your skills in Microsoft's Business Intelligence tools. This book guides you through solving intricate business problems, improving your reporting, and leveraging data modeling principles to their fullest potential. What this Book will help me do Master advanced DAX functions and leverage their full potential in data analysis. Develop a solid understanding of context and filtering within Power BI models. Employ strategies for dynamic visualizations and secure data access via row-level security. Apply financial DAX functions for precise investment evaluations and forecasts. Utilize alternative calendars and advanced time-intelligence for comprehensive temporal analyses. Author(s) Michiel Rozema and Henk Vlootman bring decades of deep experience in data analytics and business intelligence to your learning journey. Both authors are seasoned practitioners in using DAX and Microsoft BI tools, with numerous practical deployments of their expertise in business solutions. Their approachable writing reflects their teaching style, ensuring you can easily grasp even challenging concepts. This book combines their comprehensive technical knowledge with real-world, hands-on examples, offering an invaluable resource for refining your skills. Who is it for? This book is perfect for intermediate to advanced analysts who have a foundational knowledge of DAX and Power BI and wish to deepen their expertise. If you are striving to improve performance and accuracy in your reports or aiming to handle advanced modeling scenarios, this book is for you. Prior experience with DAX, Power BI, or equivalent analytical tools is recommended to maximize the benefit. Whether you're a business analyst, data professional, or enthusiast, this book will elevate your analytical capabilities to new heights.

Delve into the serverless world of Amazon Athena with the comprehensive book 'Serverless Analytics with Amazon Athena'. This guide introduces you to the power of Athena, showing you how to efficiently query data in Amazon S3 using SQL without the hassle of managing infrastructure. With clear instructions and practical examples, you'll master querying structured, unstructured, and semi-structured data seamlessly. What this Book will help me do Effectively query and analyze both structured and unstructured data stored in S3 using Amazon Athena. Integrate Athena with other AWS services to create powerful, secure, and cost-efficient data workflows. Develop ETL pipelines and machine learning workflows leveraging Athena's compatibility with AWS Glue. Monitor and troubleshoot Athena queries for consistent performance and build scalable serverless data solutions. Implement security best practices and optimize costs when managing your Athena-driven data solutions. Author(s) None Virtuoso, along with co-authors Mert Turkay Hocanin None and None Wishnick, brings a wealth of experience in cloud solutions, serverless technologies, and data engineering. They excel in demystifying complex technical topics and have a passion for empowering readers with practical skills and knowledge. Who is it for? This book is tailored for business intelligence analysts, application developers, and system administrators who want to harness Amazon Athena for seamless, cost-efficient data analytics. It suits individuals with basic SQL knowledge looking to expand their capabilities in querying and processing data. Whether you're managing growing datasets or building data-driven applications, this book provides the know-how to get it right.

Expert Data Modeling with Power BI provides a comprehensive guide to creating effective and optimized data models using Microsoft Power BI. This book will teach you everything you need to know, from connecting to data sources to setting up complex models that enable insightful reporting and business analytics. What this Book will help me do Gain expertise in implementing virtual tables and time intelligence functionalities in Power BI's DAX language. Identify and correctly set up Dimension and Fact tables using the Power Query Editor interface. Master advanced data preparation techniques to build efficient Star Schemas for modeling. Apply best practices for preparing and modeling data for real-world business cases. Become proficient in advanced features like aggregations, incremental refresh, and row-level security. Author(s) Soheil Bakhshi is a seasoned Power BI expert and author with years of experience in business intelligence and analytics. His practical knowledge of data modeling and approachable writing style make complex concepts understandable. Soheil's passion for empowering users to harness the full potential of Power BI is evident through his clear guidance and real-world examples. Who is it for? This book is perfect for business intelligence developers, data analysts, and advanced users of Power BI who aim to deepen their understanding of data modeling. It assumes a familiarity with Power BI's basic functions and core concepts like Star Schema. If you're looking to refine your modeling practices and create versatile, dynamic solutions, this resource is for you.

With this practical book, AI and machine learning practitioners will learn how to successfully build and deploy data science projects on Amazon Web Services. The Amazon AI and machine learning stack unifies data science, data engineering, and application development to help level up your skills. This guide shows you how to build and run pipelines in the cloud, then integrate the results into applications in minutes instead of days. Throughout the book, authors Chris Fregly and Antje Barth demonstrate how to reduce cost and improve performance. Apply the Amazon AI and ML stack to real-world use cases for natural language processing, computer vision, fraud detection, conversational devices, and more Use automated machine learning to implement a specific subset of use cases with SageMaker Autopilot Dive deep into the complete model development lifecycle for a BERT-based NLP use case including data ingestion, analysis, model training, and deployment Tie everything together into a repeatable machine learning operations pipeline Explore real-time ML, anomaly detection, and streaming analytics on data streams with Amazon Kinesis and Managed Streaming for Apache Kafka Learn security best practices for data science projects and workflows including identity and access management, authentication, authorization, and more

Intelligent data analytics for terror threat prediction is an emerging field of research at the intersection of information science and computer science, bringing with it a new era of tremendous opportunities and challenges due to plenty of easily available criminal data for further analysis. This book provides innovative insights that will help obtain interventions to undertake emerging dynamic scenarios of criminal activities. Furthermore, it presents emerging issues, challenges and management strategies in public safety and crime control development across various domains. The book will play a vital role in improvising human life to a great extent. Researchers and practitioners working in the fields of data mining, machine learning and artificial intelligence will greatly benefit from this book, which will be a good addition to the state-of-the-art approaches collected for intelligent data analytics. It will also be very beneficial for those who are new to the field and need to quickly become acquainted with the best performing methods. With this book they will be able to compare different approaches and carry forward their research in the most important areas of this field, which has a direct impact on the betterment of human life by maintaining the security of our society. No other book is currently on the market which provides such a good collection of state-of-the-art methods for intelligent data analytics-based models for terror threat prediction, as intelligent data analytics is a newly emerging field and research in data mining and machine learning is still in the early stage of development.

Prepare for Microsoft Exam PL-900: Demonstrate your real-world knowledge of the fundamentals of Microsoft Power Platform, including its business value, core components, and the capabilities and advantages of Power BI, Power Apps, Power Automate, and Power Virtual Agents. Designed for business users, functional consultants, and other professionals, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified: Power Platform Fundamentals level. Focus on the expertise measured by these objectives: Describe the business value of Power Platform Identify the Core Components of Power Platform Demonstrate the capabilities of Power BI Demonstrate the capabilities of Power Apps Demonstrate the capabilities of Power Automate Demonstrate the capabilities of Power Virtual Agents This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you are a business user, functional consultant, or other professional who wants to improve productivity by automating business processes, analyzing data, creating simple app experiences, or developing business enhancements to Microsoft cloud solutions. About the Exam Exam PL-900 focuses on knowledge needed to describe the value of Power Platform services and of extending solutions; describe Power Platform administration and security; describe Common Data Service, Connectors, and AI Builder; identify common Power BI components; connect to and consume data; build basic dashboards with Power BI; identify common Power Apps components; build basic canvas and model-driven apps; describe Power Apps portals; identify common Power Automate components; build basic flows; describe Power Virtual Agents capabilities; and build and publish basic chatbots. About Microsoft Certification Passing this exam fulfills your requirements for the Microsoft Certified: Power Platform Fundamentals certification, demonstrating your understanding of Power Platforms core capabilitiesfrom business value and core product capabilities to building simple apps, connecting data sources, automating basic business processes, creating dashboards, and creating chatbots. With this certification, you can move on to earn specialist certifications covering more advanced aspects of Power Apps and Power BI, including Microsoft Certified: Power Platform App Maker Associate and Power Platform Data Analyst Associate. See full details at: microsoft.com/learn

Prepare for Microsoft Exam PL-900: Demonstrate your real-world knowledge of the fundamentals of Microsoft Power Platform, including its business value, core components, and the capabilities and advantages of Power BI, Power Apps, Power Automate, and Power Virtual Agents. Designed for business users, functional consultants, and other professionals, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified: Power Platform Fundamentals level. Focus on the expertise measured by these objectives: Describe the business value of Power Platform Identify the Core Components of Power Platform Demonstrate the capabilities of Power BI Demonstrate the capabilities of Power Apps Demonstrate the capabilities of Power Automate Demonstrate the capabilities of Power Virtual Agents This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you are a business user, functional consultant, or other professional who wants to improve productivity by automating business processes, analyzing data, creating simple app experiences, or developing business enhancements to Microsoft cloud solutions. About the Exam Exam PL-900 focuses on knowledge needed to describe the value of Power Platform services and of extending solutions; describe Power Platform administration and security; describe Common Data Service, Connectors, and AI Builder; identify common Power BI components; connect to and consume data; build basic dashboards with Power BI; identify common Power Apps components; build basic canvas and model-driven apps; describe Power Apps portals; identify common Power Automate components; build basic flows; describe Power Virtual Agents capabilities; and build and publish basic chatbots. About Microsoft Certification Passing this exam fulfills your requirements for the Microsoft Certified: Power Platform Fundamentals certification, demonstrating your understanding of Power Platforms core capabilitiesfrom business value and core product capabilities to building simple apps, connecting data sources, automating basic business processes, creating dashboards, and creating chatbots. With this certification, you can move on to earn specialist certifications covering more advanced aspects of Power Apps and Power BI, including Microsoft Certified: Power Platform App Maker Associate and Power Platform Data Analyst Associate. See full details at: microsoft.com/learn

Manage Power BI within organizations. This book helps you systematize administration as Microsoft shifts Power BI from a self-service tool to an enterprise tool. You will learn best practices for many Power BI administrator tasks. And you will know how to manage artifacts such as reports, users, work spaces, apps, and gateways. The book also provides experience-based guidance on governance, licensing, and managing capacities. Good management includes policies and procedures that can be applied consistently and even automatically across a broad user base. This book provides a strategic road map for the creation and implementation of policies and procedures that support Power BI best practices in enterprises. Effective governance depends not only on good policies, but also on the active and timely monitoring of adherence to those policies. This book helps you evaluate the tools to automate and simplify the most common administrativeand monitoring tasks, freeing up administrators to provide greater value to the organization through better user training and awareness initiatives. What You Will Learn Recognize the roles and responsibilities of the Power BI administrator Manage users and their work spaces Know when to consider using Power BI Premium Govern your Power BI implementation and manage Power BI tenants Create an effective security strategy for Power BI in the enterprise Collaborate and share consistent views of the data across all users Follow a life cycle management strategy for rollout of dashboards and reports Create internal training resources backed up by accurate documentation Monitor Power BI to better understand risks and compliance manage costs, and track implementation Who This Book Is For IT professionals tasked with maintaining their corporate Power BI environments, Power BI administrators and power users interested in rolling out Power BI more widely in their organizations, and IT governance professionals tasked with ensuring adherence to policies and regulations

"Microsoft Power BI Quick Start Guide" is your essential companion to mastering data visualization and analysis using Microsoft Power BI. This book offers step-by-step guidance on exploring data sources, creating effective dashboards, and leveraging advanced features like dataflows and AI insights to derive actionable intelligence quickly and effectively. What this Book will help me do Connect and import data from various sources using Power BI tools. Transform and cleanse data using the Power BI Query Editor and other techniques. Design optimized data models with relationships and DAX calculations. Create dynamic and visually compelling reports and dashboards. Implement row-level security and manage Power BI deployments within an organization. Author(s) Devin Knight, Erin Ostrowsky, and Mitchell Pearson are seasoned Power BI experts with extensive experience in business intelligence and data analytics. They bring a hands-on approach to teaching, focusing on practical skills and real-world applications. Their joint experience ensures a thorough and clear learning experience. Who is it for? This book is tailored for aspiring business intelligence professionals who wish to harness the power of Microsoft Power BI. If you have foundational knowledge of business intelligence concepts and are eager to apply them practically, this guide is for you. It's also ideal for individuals looking to upgrade their BI skill set and adopt modern data analysis tools. Whether a beginner or looking to enhance your current skills, you'll find tremendous value here.

This comprehensive guide dives into the intricacies of designing enterprise-grade solutions using Microsoft Power Platform. You'll learn how to leverage the tools in the suite, such as Power Apps, Power Automate, and Power BI, alongside Microsoft 365 and Azure services. By exploring practical examples and methodologies, you will be equipped to handle complex requirements and business challenges. What this Book will help me do Master the integration of Microsoft 365 and Azure components to enhance Power Platform applications. Learn advanced security implementations to safeguard enterprise architecture solutions. Gain proficiency in data migration strategies for robust and seamless data handling across platforms. Understand application lifecycle management and best practices for enterprise-grade Power Platform solutions. Extend and customize Power Platform tools for tailored business applications. Author(s) Robert Rybaric is an experienced enterprise architect specializing in Microsoft technologies. With years of experience crafting complex architecture solutions for dynamic business environments, Robert brings insights that simplify and clarify the challenges of enterprise architecture. His hands-on experience and practical approach make him a trusted voice in the IT solutions space. Who is it for? This book is ideal for enterprise architects and IT decision-makers seeking to use Microsoft Power Platform to address complex business needs. It caters to professionals with a foundational understanding of the platform, aiming to enhance their ability to implement scalable, efficient solutions in competitive business environments.

Gain insight into essential data science skills in a holistic manner using data engineering and associated scalable computational methods. This book covers the most popular Python 3 frameworks for both local and distributed (in premise and cloud based) processing. Along the way, you will be introduced to many popular open-source frameworks, like, SciPy, scikitlearn, Numba, Apache Spark, etc. The book is structured around examples, so you will grasp core concepts via case studies and Python 3 code. As data science projects gets continuously larger and more complex, software engineering knowledge and experience is crucial to produce evolvable solutions. You'll see how to create maintainable software for data science and how to document data engineering practices. This book is a good starting point for people who want to gain practical skills to perform data science. All the code willbe available in the form of IPython notebooks and Python 3 programs, which allow you to reproduce all analyses from the book and customize them for your own purpose. You'll also benefit from advanced topics like Machine Learning, Recommender Systems, and Security in Data Science. Practical Data Science with Python will empower you analyze data, formulate proper questions, and produce actionable insights, three core stages in most data science endeavors. What You'll Learn Play the role of a data scientist when completing increasingly challenging exercises using Python 3 Work work with proven data science techniques/technologies Review scalable software engineering practices to ramp up data analysis abilities in the realm of Big Data Apply theory of probability, statistical inference, and algebra to understand the data sciencepractices Who This Book Is For Anyone who would like to embark into the realm of data science using Python 3.