Analiza danych
Książki, ebooki, audiobooki, kursy video z kategorii: Analiza danych dostępne w księgarni Ebookpoint
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Google Analytics. Integracja i analiza danych
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Access. Analiza danych. Receptury
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Predictive Analytics for the Modern Enterprise
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Managing Data Integrity for Finance. Discover practical data quality management strategies for finance analysts and data professionals
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Enhancing Deep Learning with Bayesian Inference. Create more powerful, robust deep learning systems with Bayesian deep learning in Python
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Data Ingestion with Python Cookbook. A practical guide to ingesting, monitoring, and identifying errors in the data ingestion process
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Data Modeling with Snowflake. A practical guide to accelerating Snowflake development using universal data modeling techniques
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Data Quality Fundamentals
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Microsoft Power BI Cookbook. Gain expertise in Power BI with over 90 hands-on recipes, tips, and use cases - Second Edition
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Kluczowe kompetencje specjalisty danych
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The Data Wrangling Workshop. Create your own actionable insights using data from multiple raw sources - Second Edition
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Extreme C. Taking you to the limit in Concurrency, OOP, and the most advanced capabilities of C
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PySpark Cookbook. Over 60 recipes for implementing big data processing and analytics using Apache Spark and Python
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Raportowanie w System Center Configuration Manager Bez tajemnic
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Zapytania w języku T-SQL w Microsoft SQL Server 2014 i SQL Server 2012
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Think Stats. 2nd Edition
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Hurtownie danych. Od przetwarzania analitycznego do raportowania. Wydanie II
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Nowe usługi 2.0. Przewodnik po analizie zbiorów danych
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Python. Podstawy nauki o danych. Wydanie II
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LLM Prompt Engineering for Developers. The Art and Science of Unlocking LLMs' True Potential
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Deep Learning for Time Series Cookbook. Use PyTorch and Python recipes for forecasting, classification, and anomaly detection
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Excel 2021 i Microsoft 365. Analiza i modelowanie danych biznesowych
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Data science od podstaw. Analiza danych w Pythonie
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Microsoft SQL Server. Modelowanie i eksploracja danych
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Data Governance Handbook. A practical approach to building trust in data
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Extending Excel with Python and R. Unlock the potential of analytics languages for advanced data manipulation and visualization
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Data Engineering with Google Cloud Platform. A guide to leveling up as a data engineer by building a scalable data platform with Google Cloud - Second Edition
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Transformers for Natural Language Processing and Computer Vision. Explore Generative AI and Large Language Models with Hugging Face, ChatGPT, GPT-4V, and DALL-E 3 - Third Edition
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Robo-Advisor with Python. A hands-on guide to building and operating your own Robo-advisor
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The Pandas Workshop. A comprehensive guide to using Python for data analysis with real-world case studies
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Analiza danych behawioralnych przy użyciu języków R i Python
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Distributed Data Systems with Azure Databricks. Create, deploy, and manage enterprise data pipelines
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Hands-On Reinforcement Learning for Games. Implementing self-learning agents in games using artificial intelligence techniques
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Java Deep Learning Cookbook. Train neural networks for classification, NLP, and reinforcement learning using Deeplearning4j
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Hands-On Data Analysis with Scala. Perform data collection, processing, manipulation, and visualization with Scala
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Implementing Oracle API Platform Cloud Service. Design, deploy, and manage your APIs in Oracle’s new API Platform
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Graph Databases. New Opportunities for Connected Data. 2nd Edition
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Web scraping. Kurs video. Zautomatyzowane pozyskiwanie danych z sieci
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Uczenie maszynowe dla programistów
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The Definitive Guide to Data Integration. Unlock the power of data integration to efficiently manage, transform, and analyze data
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Kibana 8.x - A Quick Start Guide to Data Analysis. Learn about data exploration, visualization, and dashboard building with Kibana
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Web Data Mining z użyciem języka Python. Odkrywaj i wyodrębniaj informacje ze stron internetowych za pomocą języka Python
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Analityka biznesowa wspomagana sztuczną inteligencją. Ulepszanie prognoz i podejmowania decyzji za pomocą uczenia maszynowego
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Data Forecasting and Segmentation Using Microsoft Excel. Perform data grouping, linear predictions, and time series machine learning statistics without using code
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Getting Started with Elastic Stack 8.0. Run powerful and scalable data platforms to search, observe, and secure your organization
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Hands-On Data Analysis with Pandas. A Python data science handbook for data collection, wrangling, analysis, and visualization - Second Edition
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Microsoft Power Platform Functional Consultant: PL-200 Exam Guide. Learn how to customize and configure Microsoft Power Platform and prepare for the PL-200 exam
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The Deep Learning with Keras Workshop. Learn how to define and train neural network models with just a few lines of code
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Python Deep Learning. Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow - Second Edition
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Teradata Cookbook. Over 85 recipes to implement efficient data warehousing solutions
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Data Science for Business. What You Need to Know about Data Mining and Data-Analytic Thinking
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Analiza danych w zarządzaniu projektami
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Excel 2013. Kurs video. Poziom drugi. Przetwarzanie i analiza danych
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Badanie danych. Raport z pierwszej linii działań
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Excel 2013 PL. Kurs
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Excel 2010 PL. Ilustrowany przewodnik
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Analiza i prezentacja danych w Microsoft Excel. Vademecum Walkenbacha
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100 sposobów na Excel 2007 PL. Tworzenie funkcjonalnych arkuszy
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Excel 2010 PL. Kurs
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Practical Lakehouse Architecture
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Unleashing the Power of Data with Trusted AI. A guide for board members and executives
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Tableau Certified Data Analyst Certification Guide. Ace the Tableau Data Analyst certification exam with expert guidance and practice material
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Getting Started with DuckDB. A practical guide for accelerating your data science, data analytics, and data engineering workflows
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Generative Deep Learning with Python. Unleashing the Creative Power of AI by Mastering AI and Python
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Augmented Analytics
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Python Data Cleaning Cookbook. Prepare your data for analysis with pandas, NumPy, Matplotlib, scikit-learn, and OpenAI - Second Edition
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The Ultimate Guide to Snowpark. Design and deploy Snowpark with Python for efficient data workloads
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Data Quality in the Age of AI. Building a foundation for AI strategy and data culture
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Data Analytics for Marketing. A practical guide to analyzing marketing data using Python
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Fundamentals of Analytics Engineering. An introduction to building end-to-end analytics solutions
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Data-Centric Machine Learning with Python. The ultimate guide to engineering and deploying high-quality models based on good data
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Building Interactive Dashboards in Microsoft 365 Excel. Harness the new features and formulae in M365 Excel to create dynamic, automated dashboards
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Data Cleaning with Power BI. The definitive guide to transforming dirty data into actionable insights
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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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Automating Data Quality Monitoring
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Data Observability for Data Engineering. Proactive strategies for ensuring data accuracy and addressing broken data pipelines
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The Deep Learning Architect's Handbook. Build and deploy production-ready DL solutions leveraging the latest Python techniques
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Developing Kaggle Notebooks. Pave your way to becoming a Kaggle Notebooks Grandmaster
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Learn Grafana 10.x. A beginner's guide to practical data analytics, interactive dashboards, and observability - Second Edition
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Vector Search for Practitioners with Elastic. A toolkit for building NLP solutions for search, observability, and security using vector search
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Data Modeling with Microsoft Excel. Model and analyze data using Power Pivot, DAX, and Cube functions
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Data Exploration and Preparation with BigQuery. A practical guide to cleaning, transforming, and analyzing data for business insights
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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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Data Science: The Hard Parts
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Alteryx Designer Cookbook. Over 60 recipes to transform your data into insights and take your productivity to a new level
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Amazon Redshift: The Definitive Guide
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Practical Data Quality. Learn practical, real-world strategies to transform the quality of data in your organization
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Building ETL Pipelines with Python. Create and deploy enterprise-ready ETL pipelines by employing modern methods
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Learning Data Science
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Fundamentals of Data Observability
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Data Wrangling with SQL. A hands-on guide to manipulating, wrangling, and engineering data using SQL
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Data Wrangling on AWS. Clean and organize complex data for analysis
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AI & Data Literacy. Empowering Citizens of Data Science
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Data Curious
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Cost-Effective Data Pipelines
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Graph Data Modeling in Python. A practical guide to curating, analyzing, and modeling data with graphs
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Data Engineering with dbt. A practical guide to building a cloud-based, pragmatic, and dependable data platform with SQL
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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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Geospatial Data Analytics on AWS. Discover how to manage and analyze geospatial data in the cloud
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Embedded Analytics
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Streaming Data Mesh
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CompTIA Data+: DAO-001 Certification Guide. Complete coverage of the new CompTIA Data+ (DAO-001) exam to help you pass on the first attempt
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Data Management at Scale. 2nd Edition
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Building an Event-Driven Data Mesh
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AI-Powered Commerce. Building the products and services of the future with Commerce.AI
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Machine Learning in Microservices. Productionizing microservices architecture for machine learning solutions
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Data Wrangling with R. Load, explore, transform and visualize data for modeling with tidyverse libraries
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Learn Azure Synapse Data Explorer. A guide to building real-time analytics solutions to unlock log and telemetry data
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Data Analytics Using Splunk 9.x. A practical guide to implementing Splunk’s features for performing data analysis at scale
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Tomographic imaging in environmental, industrial and medical applications
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Machine Learning Model Serving Patterns and Best Practices. A definitive guide to deploying, monitoring, and providing accessibility to ML models in production
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Building Analytics Teams. Harnessing analytics and artificial intelligence for business improvement
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Learn Power BI. A comprehensive, step-by-step guide for beginners to learn real-world business intelligence - Second Edition
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Graph Data Processing with Cypher. A practical guide to building graph traversal queries using the Cypher syntax on Neo4j
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The Art of Data-Driven Business. Transform your organization into a data-driven one with the power of Python machine learning
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Microsoft Power BI Quick Start Guide. The ultimate beginner's guide to data modeling, visualization, digital storytelling, and more - Third Edition
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Python Feature Engineering Cookbook. Over 70 recipes for creating, engineering, and transforming features to build machine learning models - Second Edition
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Data Quality Engineering in Financial Services
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Neural Search - From Prototype to Production with Jina. Build deep learning–powered search systems that you can deploy and manage with ease