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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SQL for Data Analytics. Perform fast and efficient data analysis with the power of SQL
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Cloud Native. Using Containers, Functions, and Data to Build Next-Generation Applications
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Hands-On Deep Learning with Go. A practical guide to building and implementing neural network models using Go
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Hands-On Data Analysis with Pandas. Efficiently perform data collection, wrangling, analysis, and visualization using Python
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Hands-On Deep Learning Algorithms with Python. Master deep learning algorithms with extensive math by implementing them using TensorFlow
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Hands-On Web Scraping with Python. Perform advanced scraping operations using various Python libraries and tools such as Selenium, Regex, and others
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Hands-On Deep Learning for IoT. Train neural network models to develop intelligent IoT applications
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R Cookbook. Proven Recipes for Data Analysis, Statistics, and Graphics. 2nd Edition
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Hands-On Time Series Analysis with R. Perform time series analysis and forecasting using R
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Hands-On Exploratory Data Analysis with R. Become an expert in exploratory data analysis using R packages
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Geospatial Data Science Quick Start Guide. Effective techniques for performing smarter geospatial analysis using location intelligence
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Hands-On Deep Learning Architectures with Python. Create deep neural networks to solve computational problems using TensorFlow and Keras
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Hands-On Deep Learning for Games. Leverage the power of neural networks and reinforcement learning to build intelligent games
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Natural Language Processing Fundamentals. Build intelligent applications that can interpret the human language to deliver impactful results
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TensorFlow 2.0 Quick Start Guide. Get up to speed with the newly introduced features of TensorFlow 2.0
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Hands-On Data Science for Marketing. Improve your marketing strategies with machine learning using Python and R
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Hands-On Big Data Analytics with PySpark. Analyze large datasets and discover techniques for testing, immunizing, and parallelizing Spark jobs
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R Statistics Cookbook. Over 100 recipes for performing complex statistical operations with R 3.5
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Machine Learning with R Quick Start Guide. A beginner's guide to implementing machine learning techniques from scratch using R 3.5
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Deep Learning with Microsoft Cognitive Toolkit Quick Start Guide. A practical guide to building neural networks using Microsoft's open source deep learning framework
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Applied Unsupervised Learning with R. Uncover hidden relationships and patterns with k-means clustering, hierarchical clustering, and PCA
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Learning Tableau 2019. Tools for Business Intelligence, data prep, and visual analytics - Third Edition
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Hands-On Dashboard Development with QlikView. Practical guide to creating interactive and user-friendly business intelligence dashboards
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Data Wrangling with Python. Creating actionable data from raw sources
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Mastering Tableau 2019.1. An expert guide to implementing advanced business intelligence and analytics with Tableau 2019.1 - Second Edition
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Mastering Hadoop 3. Big data processing at scale to unlock unique business insights
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Hands-On Business Intelligence with Qlik Sense. Implement self-service data analytics with insights and guidance from Qlik Sense experts
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Learn Chart.js. Create interactive visualizations for the Web with Chart.js 2
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SAP Business Intelligence Quick Start Guide. Actionable business insights from the SAP BusinessObjects BI platform
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Hands-On Blockchain for Python Developers. Gain blockchain programming skills to build decentralized applications using Python
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Machine Learning with the Elastic Stack. Expert techniques to integrate machine learning with distributed search and analytics
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Mastering Machine Learning with R. Advanced machine learning techniques for building smart applications with R 3.5 - Third Edition
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Apache Spark Quick Start Guide. Quickly learn the art of writing efficient big data applications with Apache Spark
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Hands-On Artificial Intelligence for IoT. Expert machine learning and deep learning techniques for developing smarter IoT systems
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Kibana 7 Quick Start Guide. Visualize your Elasticsearch data with ease
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Advanced MySQL 8. Discover the full potential of MySQL and ensure high performance of your database
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Hands-On Deep Learning with Apache Spark. Build and deploy distributed deep learning applications on Apache Spark
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Generative Adversarial Networks Projects. Build next-generation generative models using TensorFlow and Keras
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Machine Learning Quick Reference. Quick and essential machine learning hacks for training smart data models
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Hands-On Data Science with the Command Line. Automate everyday data science tasks using command-line tools
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Tableau 2019.x Cookbook. Over 115 recipes to build end-to-end analytical solutions using Tableau
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Go Web Scraping Quick Start Guide. Implement the power of Go to scrape and crawl data from the web
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Blockchain for Business 2019. A user-friendly introduction to blockchain technology and its business applications
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Hands-On Machine Learning for Algorithmic Trading. Design and implement investment strategies based on smart algorithms that learn from data using Python
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QlikView: Advanced Data Visualization. Discover deeper insights with Qlikview by building your own rich analytical applications from scratch
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Apache Kafka Quick Start Guide. Leverage Apache Kafka 2.0 to simplify real-time data processing for distributed applications
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Blockchain Quick Start Guide. A beginner's guide to developing enterprise-grade decentralized applications
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Bayesian Analysis with Python. Introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ - Second Edition
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Principles of Data Science. Understand, analyze, and predict data using Machine Learning concepts and tools - Second Edition
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Deep Learning with PyTorch Quick Start Guide. Learn to train and deploy neural network models in Python
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Tableau 10 Complete Reference. Transform your business with rich data visualizations and interactive dashboards with Tableau 10
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Apache Spark 2: Data Processing and Real-Time Analytics. Master complex big data processing, stream analytics, and machine learning with Apache Spark
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Numerical Computing with Python. Harness the power of Python to analyze and find hidden patterns in the data
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Microsoft Power BI Complete Reference. Bring your data to life with the powerful features of Microsoft Power BI
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Apache Superset Quick Start Guide. Develop interactive visualizations by creating user-friendly dashboards
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Practical Site Reliability Engineering. Automate the process of designing, developing, and delivering highly reliable apps and services with SRE
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Hands-On Geospatial Analysis with R and QGIS. A beginner’s guide to manipulating, managing, and analyzing spatial data using R and QGIS 3.2.2
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Hands-On Data Science with R. Techniques to perform data manipulation and mining to build smart analytical models using R
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Blockchain By Example. A developer's guide to creating decentralized applications using Bitcoin, Ethereum, and Hyperledger
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Apache Ignite Quick Start Guide. Distributed data caching and processing made easy
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PostgreSQL 11 Server Side Programming Quick Start Guide. Effective database programming and interaction
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Hands-On Data Science with SQL Server 2017. Perform end-to-end data analysis to gain efficient data insight
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Julia 1.0 Programming Cookbook. Over 100 numerical and distributed computing recipes for your daily data science work?ow
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Splunk 7.x Quick Start Guide. Gain business data insights from operational intelligence
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Mastering Matplotlib 2.x. Effective Data Visualization techniques with Python
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Applied Data Science with Python and Jupyter. Use powerful industry-standard tools to unlock new, actionable insights from your data
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Getting Started with Haskell Data Analysis. Put your data analysis techniques to work and generate publication-ready visualizations
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R Web Scraping Quick Start Guide. Techniques and tools to crawl and scrape data from websites
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Python Fundamentals. A practical guide for learning Python, complete with real-world projects for you to explore
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Data Science Algorithms in a Week. Top 7 algorithms for scientific computing, data analysis, and machine learning - Second Edition
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Apache Hadoop 3 Quick Start Guide. Learn about big data processing and analytics
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Machine Learning with scikit-learn Quick Start Guide. Classification, regression, and clustering techniques in Python
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R Graphics Cookbook. Practical Recipes for Visualizing Data. 2nd Edition
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Matplotlib 3.0 Cookbook. Over 150 recipes to create highly detailed interactive visualizations using Python
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Redash v5 Quick Start Guide. Create and share interactive dashboards using Redash
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Mastering Puppet 5. Optimize enterprise-grade environment performance with Puppet
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Applied Data Visualization with R and ggplot2. Create useful, elaborate, and visually appealing plots
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Python Data Science Essentials. A practitioner’s guide covering essential data science principles, tools, and techniques - Third Edition
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MongoDB 4 Quick Start Guide. Learn the skills you need to work with the world's most popular NoSQL database
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MicroStrategy Quick Start Guide. Data analytics and visualizations for Business Intelligence
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Getting Started with Tableau 2018.x. Get up and running with the new features of Tableau 2018 for impactful data visualization
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D3.js Quick Start Guide. Create amazing, interactive visualizations in the browser with JavaScript
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R Programming Fundamentals. Deal with data using various modeling techniques
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Blockchain for Enterprise. Build scalable blockchain applications with privacy, interoperability, and permissioned features
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Hands-On Dashboard Development with Shiny. A practical guide to building effective web applications and dashboards
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Learn Bitcoin and Blockchain. Understanding blockchain and Bitcoin architecture to build decentralized applications
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Mastering Python Design Patterns. A guide to creating smart, efficient, and reusable software - Second Edition
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Become a Python Data Analyst. Perform exploratory data analysis and gain insight into scientific computing using Python
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Data Science with SQL Server Quick Start Guide. Integrate SQL Server with data science
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Pentaho Data Integration Quick Start Guide. Create ETL processes using Pentaho
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Qlik Sense Cookbook. Over 80 recipes on data analytics to solve business intelligence challenges - Second Edition
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Blockchain Quick Reference. A guide to exploring decentralized blockchain application development
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Hands-On Deep Learning for Images with TensorFlow. Build intelligent computer vision applications using TensorFlow and Keras
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Hands-On Recommendation Systems with Python. Start building powerful and personalized, recommendation engines with Python
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Healthcare Analytics Made Simple. Techniques in healthcare computing using machine learning and Python
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Mastering Kibana 6.x. Visualize your Elastic Stack data with histograms, maps, charts, and graphs
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Microsoft Power BI Quick Start Guide. Build dashboards and visualizations to make your data come to life
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Hands-On Ensemble Learning with R. A beginner's guide to combining the power of machine learning algorithms using ensemble techniques
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fastText Quick Start Guide. Get started with Facebook's library for text representation and classification
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Ethereum Projects for Beginners. Build blockchain-based cryptocurrencies, smart contracts, and DApps
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Apache Spark Deep Learning Cookbook. Over 80 best practice recipes for the distributed training and deployment of neural networks using Keras and TensorFlow
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Getting Started with Kudu. Perform Fast Analytics on Fast Data
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Hands-On Data Analysis with NumPy and Pandas. Implement Python packages from data manipulation to processing
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Hands-On Cybersecurity with Blockchain. Implement DDoS protection, PKI-based identity, 2FA, and DNS security using Blockchain
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Mastering Numerical Computing with NumPy. Master scientific computing and perform complex operations with ease
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Big Data Architect's Handbook. A guide to building proficiency in tools and systems used by leading big data experts
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Hands-On Data Visualization with Bokeh. Interactive web plotting for Python using Bokeh
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Deep Learning Cookbook. Practical Recipes to Get Started Quickly
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Beginning Data Science with Python and Jupyter. Use powerful industry-standard tools within Jupyter and the Python ecosystem to unlock new, actionable insights from your data
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Visualizing Streaming Data. Interactive Analysis Beyond Static Limits
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Big Data Analytics with Hadoop 3. Build highly effective analytics solutions to gain valuable insight into your big data
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Google Cloud AI Services Quick Start Guide. Build intelligent applications with Google Cloud AI services
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SAS for Finance. Forecasting and data analysis techniques with real-world examples to build powerful financial models
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Splunk Operational Intelligence Cookbook. Over 80 recipes for transforming your data into business-critical insights using Splunk - Third Edition
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Artificial Intelligence for Big Data. Complete guide to automating Big Data solutions using Artificial Intelligence techniques
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Hands-On Machine Learning on Google Cloud Platform. Implementing smart and efficient analytics using Cloud ML Engine
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Jupyter Cookbook. Over 75 recipes to perform interactive computing across Python, R, Scala, Spark, JavaScript, and more
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Mastering Geospatial Analysis with Python. Explore GIS processing and learn to work with GeoDjango, CARTOframes and MapboxGL-Jupyter
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Hands-On Automated Machine Learning. A beginner's guide to building automated machine learning systems using AutoML and Python
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Microsoft Excel 2013. Analiza i modelowanie danych biznesowych