Joshua N. Milligan, Blair Hutchinson, Mark Tossell, Roberto Andreoli - książki
Tytuły autora: dostępne w księgarni Ebookpoint
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Learn SQL using MySQL in One Day and Learn It Well. SQL for beginners with Hands-on Project
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Azure Data Factory Cookbook. Build ETL, Hybrid ETL, and ELT pipelines using ADF, Synapse Analytics, Fabric and Databricks - Second Edition
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Principles of Data Science. A beginner's guide to essential math and coding skills for data fluency and machine learning - Third Edition
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Cracking the Data Engineering Interview. Land your dream job with the help of resume-building tips, over 100 mock questions, and a unique portfolio
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Building ETL Pipelines with Python. Create and deploy enterprise-ready ETL pipelines by employing modern methods
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Building Statistical Models in Python. Develop useful models for regression, classification, time series, and survival analysis
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Microsoft Power BI. Jak modelować i wizualizować dane oraz budować narracje cyfrowe. Wydanie III
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Poznaj Tableau 2022. Wizualizacja danych, interaktywna analiza danych i umiejętność data storytellingu. Wydanie V
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Platform and Model Design for Responsible AI. Design and build resilient, private, fair, and transparent machine learning models
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SQL for Data Analytics. Harness the power of SQL to extract insights from data - Third Edition
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Data Cleaning and Exploration with Machine Learning. Get to grips with machine learning techniques to achieve sparkling-clean data quickly
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Learning Tableau 2022. Create effective data visualizations, build interactive visual analytics, and improve your data storytelling capabilities - Fifth Edition
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Microsoft Power BI. Jak modelować i wizualizować dane oraz budować narracje cyfrowe. Wydanie II
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Projektowanie baz danych dla każdego. Przewodnik krok po kroku. Wydanie IV
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Skazany na sukces. Kariera w Data Science
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Mastering Kafka Streams and ksqlDB
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MongoDB Fundamentals. A hands-on guide to using MongoDB and Atlas in the real world
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Tableau Desktop Certified Associate: Exam Guide. Develop your Tableau skills and prepare for Tableau certification with tips from industry experts
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Principles of Data Science. Understand, analyze, and predict data using Machine Learning concepts and tools - Second Edition
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R: Mining spatial, text, web, and social media data. Create and customize data mining algorithms
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Principles of Data Science. Mathematical techniques and theory to succeed in data-driven industries
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MDX with Microsoft SQL Server 2016 Analysis Services Cookbook. Over 70 practical recipes to analyze multi-dimensional data in SQL Server 2016 Analysis Services cubes - Third Edition
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Advanced Machine Learning with Python. Solve challenging data science problems by mastering cutting-edge machine learning techniques in Python
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R: Data Analysis and Visualization. Click here to enter text
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T-SQL dla zaawansowanych. Przewodnik programisty. Wydanie IV
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Data Analytics with Hadoop. An Introduction for Data Scientists
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Projektowanie baz danych dla każdego. Przewodnik krok po kroku
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ActionScript Graphing Cookbook. Learn how to create appealing and interactive visual presentations of your data in ActionScript with this book and
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QlikView 11 for Developers. This book is smartly built around a practical case study – HighCloud Airlines – to help you gain an in-depth understanding of how to build applications for Business Intelligence using QlikView. A superb hands-on guide
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C# Database Basics. Moving from Visual Basic and VBA to C#
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Network Graph Analysis and Visualization with Gephi. Gephi is a great platform for analyzing and turning your data into highly communicative visualizations, and this book will teach you to create your own network graphs, and then customize and publish them to the web