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.
Książki, ebooki, audiobooki, kursy video z kategorii: Analiza danych dostępne w księgarni Ebookpoint
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Microsoft Excel 2013. Analiza i modelowanie danych biznesowych
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Cloud Analytics with Google Cloud Platform. An end-to-end guide to processing and analyzing big data using Google Cloud Platform
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Practical Tableau. 100 Tips, Tutorials, and Strategies from a Tableau Zen Master
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Modern Big Data Processing with Hadoop. Expert techniques for architecting end-to-end big data solutions to get valuable insights
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Implementing Splunk 7. Effective operational intelligence to transform machine-generated data into valuable business insight - Third Edition
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Mastering Microsoft Power BI. Expert techniques for effective data analytics and business intelligence
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Seven NoSQL Databases in a Week. Get up and running with the fundamentals and functionalities of seven of the most popular NoSQL databases
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TensorFlow Deep Learning Projects. 10 real-world projects on computer vision, machine translation, chatbots, and reinforcement learning
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Learning AWK Programming. A fast, and simple cutting-edge utility for text-processing on the Unix-like environment
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Feature Engineering for Machine Learning. Principles and Techniques for Data Scientists
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Mastering Qlik Sense. Expert techniques on self-service data analytics to create enterprise ready Business Intelligence solutions
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Introduction to Machine Learning with R. Rigorous Mathematical Analysis
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Deep Learning By Example. A hands-on guide to implementing advanced machine learning algorithms and neural networks
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SQL Server 2017 Machine Learning Services with R. Data exploration, modeling, and advanced analytics
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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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Mastering Apache Solr 7.x. An expert guide to advancing, optimizing, and scaling your enterprise search
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R Deep Learning Projects. Master the techniques to design and develop neural network models in R
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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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Learning Alteryx. A beginner's guide to using Alteryx for self-service analytics and business intelligence
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IBM SPSS Modeler Essentials. Effective techniques for building powerful data mining and predictive analytics solutions
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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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SciPy Recipes. A cookbook with over 110 proven recipes for performing mathematical and scientific computations
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Making Data Visual. A Practical Guide to Using Visualization for Insight
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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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Learning Pentaho Data Integration 8 CE. An end-to-end guide to exploring, transforming, and integrating your data across multiple sources - Third Edition
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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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Building Web and Mobile ArcGIS Server Applications with JavaScript. Build exciting custom web and mobile GIS applications with the ArcGIS Server API for JavaScript - Second Edition
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Machine Learning with R Cookbook. Analyze data and build predictive models - Second Edition
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Pandas Cookbook. Recipes for Scientific Computing, Time Series Analysis and Data Visualization using Python
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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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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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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 Informatica PowerCenter 10.x. Enterprise data warehousing and intelligent data centers for efficient data management solutions - Second Edition
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Learning TensorFlow. A Guide to Building Deep Learning Systems
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Hands-On Deep Learning with TensorFlow. Uncover what is underneath your data!
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Big Data Analytics with Java. Data analysis, visualization & machine learning techniques
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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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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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Learning pandas. High performance data manipulation and analysis using Python - Second Edition
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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 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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Practical GIS. Learn novice to advanced topics such as QGIS, Spatial data analysis, and more
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Advanced Analytics with Spark. Patterns for Learning from Data at Scale. 2nd Edition
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Data Science i uczenie maszynowe
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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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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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Mastering PostgreSQL 9.6. A comprehensive guide for PostgreSQL 9.6 developers and administrators
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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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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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Machine Learning with Spark. Develop intelligent, distributed machine learning systems - Second Edition
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D3.js 4.x Data Visualization. Learn to visualize your data with JavaScript - Third Edition
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Learning Data Mining with Python. Use Python to manipulate data and build predictive models - Second Edition