W świecie, w którym dane są nowym złotem, umiejętność ich analizowania staje się niezbędna. W Helion rozumiemy tę potrzebę i oferujemy Ci bogaty wybór książek poświęconych analizie danych. Nasze publikacje są przeznaczone zarówno dla początkujących, którzy chcą zrozumieć podstawy analizy danych, jak i dla zaawansowanych analityków poszukujących głębszej wiedzy w tej dziedzinie.
Analiza danych
Książki, ebooki, audiobooki, kursy video z kategorii: Analiza danych dostępne w księgarni Helion
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Język R. Receptury. Analiza danych, statystyka i przetwarzanie grafiki. Wydanie II
Czasowo niedostępna
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Excel 2016 PL. Biblia
Niedostępna
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Excel 2013. Kurs video. Poziom drugi. Przetwarzanie i analiza danych
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Uczenie maszynowe dla programistów
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Badanie danych. Raport z pierwszej linii działań
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Excel 2010 PL. Ilustrowany przewodnik
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Excel 2010 PL. Kurs
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Unleashing the Power of Data with Trusted AI. A guide for board members and executives
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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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Deep Learning for Time Series Cookbook. Use PyTorch and Python recipes for forecasting, classification, and anomaly detection
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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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Data Cleaning with Power BI. The definitive guide to transforming dirty data into actionable insights
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Learn Microsoft Fabric. A practical guide to performing data analytics in the era of artificial intelligence
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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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Data Engineering with Scala and Spark. Build streaming and batch pipelines that process massive amounts of data using Scala
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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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Web Data Mining z użyciem języka Python. Odkrywaj i wyodrębniaj informacje ze stron internetowych za pomocą języka Python
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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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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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Learn PostgreSQL. Use, manage, and build secure and scalable databases with PostgreSQL 16 - Second Edition
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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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Enhancing Deep Learning with Bayesian Inference. Create more powerful, robust deep learning systems with Bayesian deep learning in Python
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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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Natural Language Understanding with Python. Combine natural language technology, deep learning, and large language models to create human-like language comprehension in computer systems
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Exploratory Data Analysis with Python Cookbook. Over 50 recipes to analyze, visualize, and extract insights from structured and unstructured data
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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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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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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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Robo-Advisor with Python. A hands-on guide to building and operating your own Robo-advisor
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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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The Enterprise Data Catalog
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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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Modern Time Series Forecasting with Python. Explore industry-ready time series forecasting using modern machine learning and deep learning
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Machine Learning Techniques for Text. Apply modern techniques with Python for text processing, dimensionality reduction, classification, and evaluation
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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
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Scalable Data Architecture with Java. Build efficient enterprise-grade data architecting solutions using Java
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Learning Microsoft Power BI
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Data Quality Fundamentals
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Serverless ETL and Analytics with AWS Glue. Your comprehensive reference guide to learning about AWS Glue and its features
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SQL for Data Analytics. Harness the power of SQL to extract insights from data - Third Edition
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Cyfrowe Państwo. Uwarunkowania i perspektywy
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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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Simplifying Data Engineering and Analytics with Delta. Create analytics-ready data that fuels artificial intelligence and business intelligence
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Practical Deep Learning at Scale with MLflow. Bridge the gap between offline experimentation and online production
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Feature Store for Machine Learning. Curate, discover, share and serve ML features at scale
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Fundamentals of Data Engineering
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Data Democratization with Domo. Bring together every component of your business to make better data-driven decisions using Domo
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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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Excel 2021 i Microsoft 365. Przetwarzanie danych za pomocą tabel przestawnych
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Excel 2021 i Microsoft 365. Analiza i modelowanie danych biznesowych
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AI-Powered Business Intelligence
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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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Deep Learning with PyTorch Lightning. Swiftly build high-performance Artificial Intelligence (AI) models using Python
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The Tableau Workshop. A practical guide to the art of data visualization with Tableau
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Data Algorithms with Spark
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Getting Started with Amazon SageMaker Studio. Learn to build end-to-end machine learning projects in the SageMaker machine learning IDE
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Data Engineering with Google Cloud Platform. A practical guide to operationalizing scalable data analytics systems on GCP
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Simplify Big Data Analytics with Amazon EMR. A beginner’s guide to learning and implementing Amazon EMR for building data analytics solutions
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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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Reproducible Data Science with Pachyderm. Learn how to build version-controlled, end-to-end data pipelines using Pachyderm 2.0
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Data Mesh
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Extreme DAX. Take your Power BI and Microsoft data analytics skills to the next level
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Digital Transformation and Modernization with IBM API Connect. A practical guide to developing, deploying, and managing high-performance and secure hybrid-cloud APIs
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Data Engineering with AWS. Learn how to design and build cloud-based data transformation pipelines using AWS
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Optimizing Databricks Workloads. Harness the power of Apache Spark in Azure and maximize the performance of modern big data workloads
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The TensorFlow Workshop. A hands-on guide to building deep learning models from scratch using real-world datasets
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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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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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Data Engineering with Apache Spark, Delta Lake, and Lakehouse. Create scalable pipelines that ingest, curate, and aggregate complex data in a timely and secure way
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Power Query Cookbook. Use effective and powerful queries in Power BI Desktop and Dataflows to prepare and transform your data
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Building Data Science Applications with FastAPI. Develop, manage, and deploy efficient machine learning applications with Python
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Communicating with Data
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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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Up and Running with Affinity Designer. A practical, easy-to-follow guide to get up to speed with the powerful features of Affinity Designer 1.10
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Deep Learning with fastai Cookbook. Leverage the easy-to-use fastai framework to unlock the power of deep learning
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Building Data-Driven Applications with Danfo.js. A practical guide to data analysis and machine learning using JavaScript
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Data Processing with Optimus. Supercharge big data preparation tasks for analytics and machine learning with Optimus using Dask and PySpark
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Data Analytics Made Easy. Analyze and present data to make informed decisions without writing any code
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Getting Started with Streamlit for Data Science. Create and deploy Streamlit web applications from scratch in Python
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Excel 2013 PL. Kurs
Czasowo niedostępna
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Access. Analiza danych. Receptury
Niedostępna
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Microsoft SQL Server. Modelowanie i eksploracja danych
Niedostępna
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Data Analytics for Marketing. A practical guide to analyzing marketing data using Python
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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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Mastering NLP from Foundations to LLMs. Apply advanced rule-based techniques to LLMs and solve real-world business problems using Python
Książki z zakresu analizy danych - twoje narzędzie do efektywnego przetwarzania informacji
Nasza kategoria książek o analizie danych oferuje szeroki wybór publikacji, które wprowadzają w techniki i metody efektywnego przetwarzania oraz interpretacji danych. Wśród nich znajdują się pozycje idealne dla początkujących w dziedzinie analizy danych, takie jak "Analityk danych. Przewodnik po data science, statystyce i uczeniu maszynowym" oraz "Data science od podstaw. Analiza danych w Pythonie". Dla bardziej zaawansowanych analityków przygotowaliśmy książki, które pozwalają pogłębić umiejętności i wiedzę w zakresie zaawansowanych technik analizy danych.
Dodatkowo, nasza oferta zawiera książki skoncentrowane na specyficznych aspektach analizy danych, które stanowią cenne źródło wiedzy dla osób pracujących w sektorze biznesowym. Wyróżniają się tu tytuły poświęcone wizualizacji danych oraz zastosowaniu uczenia maszynowego w biznesie, oferując praktyczne porady i techniki przydatne w codziennej pracy z danymi.
Analiza danych biznesowych - przewodnik po świecie biznesowej analityki
Analiza danych biznesowych to klucz do sukcesu w każdej nowoczesnej organizacji. W Helion oferujemy książki, które są przewodnikami po świecie biznesowej analityki danych. Dzięki nim poznasz metody i narzędzia niezbędne do przeprowadzania skutecznych analiz, które pomogą w podejmowaniu trafnych decyzji biznesowych. Tytuły takie jak "Analiza biznesowa. Praktyczne modelowanie organizacji" czy "Analizy Business Intelligence. Zaawansowane wykorzystanie Excela” dostarczają wiedzy o narzędziach i metodach stosowanych w analizie danych biznesowych.
Nasze książki skierowane są do szerokiego grona odbiorców, od studentów po doświadczonych profesjonalistów. Stawiamy na jakość i aktualność naszych publikacji, aby odpowiadały na bieżące potrzeby rynku. Zapraszamy Cię do zapoznania się z naszą ofertą książek o analizie danych. W Helion znajdziesz literaturę, która pomoże Ci nie tylko zdobyć wiedzę, ale także zastosować ją w praktyce. Odkryj z nami potęgę danych i wykorzystaj je do osiągnięcia sukcesu zawodowego!