Analiza danych
Kirill Dubovikov
Data science and machine learning can transform any organization and unlock new opportunities. However, employing the right management strategies is crucial to guide the solution from prototype to production. Traditional approaches often fail as they don't entirely meet the conditions and requirements necessary for current data science projects. In this book, you'll explore the right approach to data science project management, along with useful tips and best practices to guide you along the way. After understanding the practical applications of data science and artificial intelligence, you'll see how to incorporate them into your solutions. Next, you will go through the data science project life cycle, explore the common pitfalls encountered at each step, and learn how to avoid them. Any data science project requires a skilled team, and this book will offer the right advice for hiring and growing a data science team for your organization. Later, you'll be shown how to efficiently manage and improve your data science projects through the use of DevOps and ModelOps. By the end of this book, you will be well versed with various data science solutions and have gained practical insights into tackling the different challenges that you'll encounter on a daily basis.
Peter Rising, Nate Chamberlain
Do you want to build and test your proficiency in the deployment, management, and monitoring of Microsoft Teams features within the Microsoft 365 platform? Managing Microsoft Teams: MS-700 Exam Guide will help you to effectively plan and implement Microsoft Teams using the Microsoft 365 Teams admin center and Windows PowerShell. You’ll also discover best practices for rolling out and managing MS services for Teams users within your Microsoft 365 tenant. The chapters are divided into three easy-to-follow parts: planning and design, feature policies and administration, and team management, while aligning with the official MS-700 exam objectives to help you prepare effectively for the exam.The book starts by taking you through planning and design, where you’ll learn how to plan migrations, make assessments for network readiness, and plan and implement governance tasks such as configuring guest access and monitoring usage. Later, you’ll understand feature administration, focusing on collaboration, meetings, live events, phone numbers, and the phone system, along with applicable policy configurations. Finally, the book shows you how to manage Teams and membership settings and create app policies.By the end of this book, you'll have learned everything you need to pass the MS-700 certification exam and have a handy reference guide for MS Teams.
Market Research and Analysis. Mastering Market Research: Advanced Methods, Design, and Data Analysis
Mercury Learning and Information, Marcus Goncalves
This book offers an in-depth exploration of market research and analysis, guiding readers through the entire process from defining research objectives to communicating results. Begin by understanding the purpose and ethics of market research, laying a strong groundwork for your studies. Progress to defining precise research objectives and exploring secondary research methods to gather existing information.Next, engage with primary research methods, focusing on both quantitative and qualitative approaches. Learn how to develop and distribute surveys, choose the right sampling techniques, and utilize tools for data mining and web scraping. Gain insights into focus groups and observation studies, understanding how these qualitative methods can provide depth to your research.Finally, master the art of data analysis and result communication. Explore descriptive statistics, hypothesis testing, and inferential statistics to make sense of your data. Learn to effectively present your findings to stakeholders, ensuring your research translates into actionable insights. By the end of the course, you will be well-equipped to conduct thorough market research and communicate your results effectively.
Kinga Sroka
Witaj w świecie fascynujących danych! Biznes nie istnieje bez twardych danych, założeń, KPI i ich realizacji. Także ta jego część, która jest związana z promocją. Szczególnie online. Dziś nie można być marketerem z prawdziwego zdarzenia i nie znać chociażby narzędzi oferowanych przez Google ― Analytics, Tag Manager, Search Console i Trends. Te nazwy kojarzą Ci się z czymś niezrozumiałym albo budzą obawy? Nie martw się i sięgnij po tę książkę! Dowiesz się z niej, jak efektywnie korzystać z internetowych rozwiązań analitycznych. Ten poradnik stanowi świetne wprowadzenie do marketingu i analityki biznesowej online dla osób, które dopiero zapoznają się z tym tematem. To nie tylko przegląd narzędzi współczesnego analityka. Autorka opisuje również kompetencje, które będą potrzebne osobom z branży w najbliższej przyszłości, wskazuje miejsca, gdzie już można je zdobywać, wreszcie podpowiada, jakie umiejętności trzeba mieć, by otrzymać wymarzoną pracę w firmach zajmujących się danymi cyfrowymi.
MrExcel's Holy Macro! Books, Miguel Escobar, Ken...
This book equips you with the essential skills to master Power Query in Excel and Power BI. Starting with the basics, you'll learn query management, data types, and error handling, establishing a solid foundation. You'll explore techniques to move queries between Excel and Power BI, ensuring seamless workflow integration. As the guide progresses, you'll delve into data import methods from flat files, Excel, web-based, and relational sources, while performing key transformations like appending, combining, and reshaping data.Advanced topics such as conditional logic, Power Query values, and M Language fundamentals will enhance your ability to customize and optimize queries. The book also covers the creation of parameters and custom functions, alongside applying sophisticated date and time techniques.Finally, you'll learn to optimize query performance and automate data refreshes, ensuring your analysis remains current. By the end of this guide, you'll have the confidence and expertise to effectively transform and manage data using Power Query, significantly enhancing your data analysis capabilities in Excel and Power BI.
Sandeep Nair, Chintan Mehta, Dharmesh Vasoya
Apache Solr is the only standalone enterprise search server with a REST-like application interface. providing highly scalable, distributed search and index replication for many of the world's largest internet sites.To begin with, you would be introduced to how you perform full text search, multiple filter search, perform dynamic clustering and so on helping you to brush up the basics of Apache Solr. You will also explore the new features and advanced options released in Apache Solr 7.x which will get you numerous performance aspects and making data investigation simpler, easier and powerful. You will learn to build complex queries, extensive filters and how are they compiled in your system to bring relevance in your search tools. You will learn to carry out Solr scoring, elements affecting the document score and how you can optimize or tune the score for the application at hand. You will learn to extract features of documents, writing complex queries in re-ranking the documents. You will also learn advanced options helping you to know what content is indexed and how the extracted content is indexed. Throughout the book, you would go through complex problems with solutions along with varied approaches to tackle your business needs. By the end of this book, you will gain advanced proficiency to build out-of-box smart search solutions for your enterprise demands.
Romeo Kienzler
Apache Spark is an in-memory, cluster-based Big Data processing system that provides a wide range of functionalities such as graph processing, machine learning, stream processing, and more. This book will take your knowledge of Apache Spark to the next level by teaching you how to expand Spark’s functionality and build your data flows and machine/deep learning programs on top of the platform.The book starts with a quick overview of the Apache Spark ecosystem, and introduces you to the new features and capabilities in Apache Spark 2.x. You will then work with the different modules in Apache Spark such as interactive querying with Spark SQL, using DataFrames and DataSets effectively, streaming analytics with Spark Streaming, and performing machine learning and deep learning on Spark using MLlib and external tools such as H20 and Deeplearning4j. The book also contains chapters on efficient graph processing, memory management and using Apache Spark on the cloud.By the end of this book, you will have all the necessary information to master Apache Spark, and use it efficiently for Big Data processing and analytics.
Mastering Apache Storm. Real-time big data streaming using Kafka, Hbase and Redis
Ankit Jain
Apache Storm is a real-time Big Data processing framework that processes large amounts of data reliably, guaranteeing that every message will be processed. Storm allows you to scale your data as it grows, making it an excellent platform to solve your big data problems. This extensive guide will help you understand right from the basics to the advanced topics of Storm.The book begins with a detailed introduction to real-time processing and where Storm fits in to solve these problems. You’ll get an understanding of deploying Storm on clusters by writing a basic Storm Hello World example. Next we’ll introduce you to Trident and you’ll get a clear understanding of how you can develop and deploy a trident topology. We cover topics such as monitoring, Storm Parallelism, scheduler and log processing, in a very easy to understand manner. You will also learn how to integrate Storm with other well-known Big Data technologies such as HBase, Redis, Kafka, and Hadoop to realize the full potential of Storm.With real-world examples and clear explanations, this book will ensure you will have a thorough mastery of Apache Storm. You will be able to use this knowledge to develop efficient, distributed real-time applications to cater to your business needs.