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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Ethereum Smart Contract Development. Build blockchain-based decentralized applications using solidity
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Deep Learning with PyTorch. A practical approach to building neural network models using PyTorch
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R Deep Learning Projects. Master the techniques to design and develop neural network models in R
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Mastering Apache Solr 7.x. An expert guide to advancing, optimizing, and scaling your enterprise search
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MySQL 8 Administrator's Guide. Effective guide to administering high-performance MySQL 8 solutions
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Python Web Scraping Cookbook. Over 90 proven recipes to get you scraping with Python, microservices, Docker, and AWS
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Spark: The Definitive Guide. Big Data Processing Made Simple
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Practical Computer Vision. Extract insightful information from images using TensorFlow, Keras, and OpenCV
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Regression Analysis with R. Design and develop statistical nodes to identify unique relationships within data at scale
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IPython Interactive Computing and Visualization Cookbook. Over 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science in the Jupyter Notebook - Second Edition
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Deep Learning Essentials. Your hands-on guide to the fundamentals of deep learning and neural network modeling
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Machine Learning and Security. Protecting Systems with Data and Algorithms
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MySQL 8 Cookbook. Over 150 recipes for high-performance database querying and administration
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Deep Learning for Computer Vision. Expert techniques to train advanced neural networks using TensorFlow and Keras
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Feature Engineering Made Easy. Identify unique features from your dataset in order to build powerful machine learning systems
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Practical Big Data Analytics. Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R
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Qlik Sense: Advanced Data Visualization for Your Organization. Create smart data visualizations and predictive analytics solutions
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IBM SPSS Modeler Essentials. Effective techniques for building powerful data mining and predictive analytics solutions
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Learning Alteryx. A beginner's guide to using Alteryx for self-service analytics and business intelligence
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Learning Elastic Stack 6.0. A beginner’s guide to distributed search, analytics, and visualization using Elasticsearch, Logstash and Kibana
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Apache Kafka 1.0 Cookbook. Over 100 practical recipes on using distributed enterprise messaging to handle real-time data
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Learning Google BigQuery. A beginner's guide to mining massive datasets through interactive analysis
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Making Data Visual. A Practical Guide to Using Visualization for Insight
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SciPy Recipes. A cookbook with over 110 proven recipes for performing mathematical and scientific computations
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SQL Server 2017 Administrator's Guide. One stop solution for DBAs to monitor, manage, and maintain enterprise databases
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TensorFlow 1.x Deep Learning Cookbook. Over 90 unique recipes to solve artificial-intelligence driven problems with Python
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Reactive Programming in Kotlin. Design and build non-blocking, asynchronous Kotlin applications with RXKotlin, Reactor-Kotlin, Android, and Spring
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Stream Analytics with Microsoft Azure. Real-time data processing for quick insights using Azure Stream Analytics
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Microsoft Excel 2016 Analiza i modelowanie danych biznesowych
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ROS Robotics By Example. Learning to control wheeled, limbed, and flying robots using ROS Kinetic Kame - Second Edition
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Learning Apache Apex. Real-time streaming applications with Apex
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R Data Mining. Implement data mining techniques through practical use cases and real-world datasets
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Big Data Analytics with SAS. Get actionable insights from your Big Data using the power of SAS
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R Data Visualization Recipes. A cookbook with 65+ data visualization recipes for smarter decision-making
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Machine Learning with TensorFlow 1.x. Second generation machine learning with Google's brainchild - TensorFlow 1.x
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Mastering MongoDB 3.x. An expert's guide to building fault-tolerant MongoDB applications
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R Data Analysis Projects. Build end to end analytics systems to get deeper insights from your data
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Statistics for Data Science. Leverage the power of statistics for Data Analysis, Classification, Regression, Machine Learning, and Neural Networks
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scikit-learn Cookbook. Over 80 recipes for machine learning in Python with scikit-learn - Second Edition
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Practical Data Wrangling. Expert techniques for transforming your raw data into a valuable source for analytics
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Machine Learning for Developers. Uplift your regular applications with the power of statistics, analytics, and machine learning
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MongoDB Administrator's Guide. Over 100 practical recipes to efficiently maintain and administer your MongoDB solution
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Pandas Cookbook. Recipes for Scientific Computing, Time Series Analysis and Data Visualization using Python
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Machine Learning with R Cookbook. Analyze data and build predictive models - Second Edition
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Implementing Qlik Sense. Design, Develop, and Validate BI solutions for consultants
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Learning Neo4j 3.x. Effective data modeling, performance tuning and data visualization techniques in Neo4j - Second Edition
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Jupyter for Data Science. Exploratory analysis, statistical modeling, machine learning, and data visualization with Jupyter
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Modern R Programming Cookbook. Recipes to simplify your statistical applications
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Practical Time Series Analysis. Master Time Series Data Processing, Visualization, and Modeling using Python
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Practical Real-time Data Processing and Analytics. Distributed Computing and Event Processing using Apache Spark, Flink, Storm, and Kafka
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Microsoft Power BI Cookbook. Over 100 recipes for creating powerful Business Intelligence solutions to aid effective decision-making
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Scala for Machine Learning. Build systems for data processing, machine learning, and deep learning - Second Edition
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Data Analysis with IBM SPSS Statistics. Implementing data modeling, descriptive statistics and ANOVA
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R Data Analysis Cookbook. Customizable R Recipes for data mining, data visualization and time series analysis - Second Edition
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Java Data Analysis. Data mining, big data analysis, NoSQL, and data visualization
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Pentaho 8 Reporting for Java Developers. Create pixel-perfect analytical reports using reporting tools
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Network Security Through Data Analysis. From Data to Action. 2nd Edition
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Learning Spark SQL. Architect streaming analytics and machine learning solutions
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Raportowanie w System Center Configuration Manager Bez tajemnic
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Statistical Application Development with R and Python. Develop applications using data processing, statistical models, and CART - Second Edition
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Mastering Machine Learning with Spark 2.x. Harness the potential of machine learning, through spark
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MATLAB for Machine Learning. Practical examples of regression, clustering and neural networks
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Matplotlib 2.x By Example. Multi-dimensional charts, graphs, and plots in Python
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Advanced Analytics with R and Tableau. Advanced analytics using data classification, unsupervised learning and data visualization
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Mastering Predictive Analytics with R. Machine learning techniques for advanced models - Second Edition
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Building Data Streaming Applications with Apache Kafka. Design, develop and streamline applications using Apache Kafka, Storm, Heron and Spark
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Mastering Apache Storm. Real-time big data streaming using Kafka, Hbase and Redis
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SQL Server on Linux. Configuring and administering your SQL Server solution on Linux
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Learning TensorFlow. A Guide to Building Deep Learning Systems
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Hands-On Data Science and Python Machine Learning. Perform data mining and machine learning efficiently using Python and Spark
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Hands-On Deep Learning with TensorFlow. Uncover what is underneath your data!
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Python Natural Language Processing. Advanced machine learning and deep learning techniques for natural language processing
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Deep Learning. A Practitioner's Approach
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Python Social Media Analytics. Analyze and visualize data from Twitter, YouTube, GitHub, and more
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Mastering Apache Spark 2.x. Advanced techniques in complex Big Data processing, streaming analytics and machine learning - Second Edition
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Apache Spark 2.x for Java Developers. Explore big data at scale using Apache Spark 2.x Java APIs
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Scala and Spark for Big Data Analytics. Explore the concepts of functional programming, data streaming, and machine learning
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Machine Learning Algorithms. A reference guide to popular algorithms for data science and machine learning
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Mastering Machine Learning with scikit-learn. Apply effective learning algorithms to real-world problems using scikit-learn - Second Edition
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Statistics for Machine Learning. Techniques for exploring supervised, unsupervised, and reinforcement learning models with Python and R
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Mastering Java Machine Learning. A Java developer's guide to implementing machine learning and big data architectures
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Learning SAP Analytics Cloud. Collaborate, predict and solve business intelligence problems with cloud computing
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Java: Data Science Made Easy. Data collection, processing, analysis, and more
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Python for Finance. Apply powerful finance models and quantitative analysis with Python - Second Edition
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Frank Kane's Taming Big Data with Apache Spark and Python. Real-world examples to help you analyze large datasets with Apache Spark
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Practical Predictive Analytics. Analyse current and historical data to predict future trends using R, Spark, and more
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Learning pandas. High performance data manipulation and analysis using Python - Second Edition
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Learning Elasticsearch. Structured and unstructured data using distributed real-time search and analytics
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Practical Data Science Cookbook. Data pre-processing, analysis and visualization using R and Python - 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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Advanced Analytics with Spark. Patterns for Learning from Data at Scale. 2nd Edition
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Apache Spark 2.x Cookbook. Over 70 cloud-ready recipes for distributed Big Data processing and analytics
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Python Machine Learning By Example. The easiest way to get into machine learning
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Data Lake for Enterprises. Lambda Architecture for building enterprise data systems
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Python: End-to-end Data Analysis. Leverage the power of Python to clean, scrape, analyze, and visualize your data
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Python Web Scraping. Hands-on data scraping and crawling using PyQT, Selnium, HTML and Python - Second Edition
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Mastering PostgreSQL 9.6. A comprehensive guide for PostgreSQL 9.6 developers and administrators
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Hadoop 2.x Administration Cookbook. Administer and maintain large Apache Hadoop clusters
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Learning Social Media Analytics with R. Transform data from social media platforms into actionable business insights
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D3.js 4.x Data Visualization. Learn to visualize your data with JavaScript - Third Edition
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Machine Learning with Spark. Develop intelligent, distributed machine learning systems - Second Edition
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Mastering Java for Data Science. Analytics and more for production-ready applications
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Building Blockchain Projects. Building decentralized Blockchain applications with Ethereum and Solidity
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Learning Data Mining with Python. Use Python to manipulate data and build predictive models - Second Edition
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Deep Learning with Keras. Implementing deep learning models and neural networks with the power of Python
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Spatial Analytics with ArcGIS. Build powerful insights with spatial analytics
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Effective Amazon Machine Learning. Expert web services for machine learning on cloud
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Learning Apache Cassandra. Managing fault-tolerant, scalable data with high performance - Second Edition
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Deep Learning with TensorFlow. Explore neural networks with Python
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Mastering Machine Learning with R. Advanced prediction, algorithms, and learning methods with R 3.x - Second Edition
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Practical Machine Learning Cookbook. Supervised and unsupervised machine learning simplified
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Python: Data Analytics and Visualization. Perform data processing and analysis with the help of python libraries, gain practical insights into predictive modeling and generate effective results in a variety of visually appealing charts using the plotting packages in Python
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PostgreSQL High Performance Cookbook. Mastering query optimization, database monitoring, and performance-tuning for PostgreSQL
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Mastering Spark for Data Science. Lightning fast and scalable data science solutions
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Java Data Science Cookbook. Explore the power of MLlib, DL4j, Weka, and more
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Learning Apache Spark 2. A beginner’s guide to real-time Big Data processing using the Apache Spark framework
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Python Data Analysis. Data manipulation and complex data analysis with Python - Second Edition
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Learning Quantitative Finance with R. Implement machine learning, time-series analysis, algorithmic trading and more
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Mastering Blockchain. Deeper insights into decentralization, cryptography, Bitcoin, and popular Blockchain frameworks
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Effective Business Intelligence with QuickSight. Boost your business IQ with Amazon QuickSight
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!