Analiza danych

Analiza danych jest ekscytującą dyscypliną, która umożliwia zrozumienie pewnych zjawisk, uzyskanie wglądu i wiedzy na podstawie surowych danych. Pojęcie to oznacza dokładnie przetwarzanie danych za pomocą technik matematycznych i statystycznych w celu uzyskania cennych wniosków, podjęcia ważnych decyzji i opracowania przydatnych produktów. Termin ten wywodzi się od angielskiego data science, często traktowanego jako synonim takich terminów, jak analityka biznesowa, badania operacyjne, business intelligence, wywiad konkurencyjny, analiza i modelowanie danych, a także pozyskiwanie wiedzy. Dzięki takim technologiom, jak języki Python czy R, platformy Hadoop i Spark masz szansę wyciągnąć maksimum wniosków, dostrzec szanse na rozwój swojej organizacji albo przewidzieć i zapobiec zagrożeniom.

siatka lista

Digital Transformation and Modernization with IBM API Connect. A practical guide to developing, deploying, and managing high-performance and secure hybrid-cloud APIs

Bryon Kataoka, James Brennan, Ashish Aggarwal

Digital Transformation with Dataverse for Teams. Become a citizen developer and lead the digital transformation wave with Microsoft Teams and Power Platform

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Distributed Data Systems with Azure Databricks. Create, deploy, and manage enterprise data pipelines

Alan Bernardo Palacio

Don't Fear the Spreadsheet. A Beginner's Guide to Overcoming Excel's Frustrations

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Driving Data Quality with Data Contracts. A comprehensive guide to building reliable, trusted, and effective data platforms

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Dziennikarstwo danych i data storytelling

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Effective Amazon Machine Learning. Expert web services for machine learning on cloud

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Effective Business Intelligence with QuickSight. Boost your business IQ with Amazon QuickSight

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Effortless App Development with Oracle Visual Builder. Boost productivity by building web and mobile applications efficiently using the drag-and-drop approach

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Ekstrakcja danych w Pythonie. Teoria i praktyka

Piotr Rybka

Elasticsearch 5.x Cookbook. Distributed Search and Analytics - Third Edition

Alberto Paro

Elasticsearch 7 Quick Start Guide. Get up and running with the distributed search and analytics capabilities of Elasticsearch

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Elasticsearch Essentials. Harness the power of ElasticSearch to build and manage scalable search and analytics solutions with this fast-paced guide

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Elasticsearch Indexing. How to Improve User’s Search Experience

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Elasticsearch Server. Leverage Elasticsearch to create a robust, fast, and flexible search solution with ease - Third Edition

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Empowering Organizations with Power Virtual Agents. A practical guide to building intelligent chatbots with Microsoft Power Platform

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Enhancing Deep Learning with Bayesian Inference. Create more powerful, robust deep learning systems with Bayesian deep learning in Python

Matt Benatan, Jochem Gietema, Marian Schneider

Essential Guide to LLMOps. Implementing effective strategies for Large Language Models in deployment and continuous improvement

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Essential PySpark for Scalable Data Analytics. A beginner's guide to harnessing the power and ease of PySpark 3

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Essential Statistics for Non-STEM Data Analysts. Get to grips with the statistics and math knowledge needed to enter the world of data science with Python

Rongpeng Li

Ethereum Projects for Beginners. Build blockchain-based cryptocurrencies, smart contracts, and DApps

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Ethereum Smart Contract Development. Build blockchain-based decentralized applications using solidity

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EU General Data Protection Regulation (GDPR). An implementation and compliance guide

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Excel 2010 PL. Ilustrowany przewodnik

Krzysztof Masłowski