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
-
Mastering Java for Data Science. Analytics and more for production-ready applications
-
Building Blockchain Projects. Building decentralized Blockchain applications with Ethereum and Solidity
-
Spatial Analytics with ArcGIS. Build powerful insights with spatial analytics
-
Deep Learning with Keras. Implementing deep learning models and neural networks with the power of Python
-
Learning Apache Cassandra. Managing fault-tolerant, scalable data with high performance - Second Edition
-
Effective Amazon Machine Learning. Expert web services for machine learning on cloud
-
Deep Learning with TensorFlow. Explore neural networks with Python
-
Mastering Machine Learning with R. Advanced prediction, algorithms, and learning methods with R 3.x - Second Edition
-
Practical Machine Learning Cookbook. Supervised and unsupervised machine learning simplified
-
Kompletny przewodnik po DAX. Analiza biznesowa przy użyciu Microsoft Excel, SQL Server Analysis Services i Power BI
-
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
-
PostgreSQL High Performance Cookbook. Mastering query optimization, database monitoring, and performance-tuning for PostgreSQL
-
Mastering Spark for Data Science. Lightning fast and scalable data science solutions
-
Learning Apache Spark 2. A beginner’s guide to real-time Big Data processing using the Apache Spark framework
-
Java Data Science Cookbook. Explore the power of MLlib, DL4j, Weka, and more
-
Python Data Analysis. Data manipulation and complex data analysis with Python - Second Edition
-
Learning Quantitative Finance with R. Implement machine learning, time-series analysis, algorithmic trading and more
-
Mastering Blockchain. Deeper insights into decentralization, cryptography, Bitcoin, and popular Blockchain frameworks
-
Effective Business Intelligence with QuickSight. Boost your business IQ with Amazon QuickSight
-
Data Visualization with D3 4.x Cookbook. Visualization Strategies for Tackling Dirty Data - Second Edition
-
Big Data Visualization. Bring scalability and dynamics to your Big Data visualization
-
QGIS:Becoming a GIS Power User. Master data management, visualization, and spatial analysis techniques in QGIS and become a GIS power user
-
Splunk: Enterprise Operational Intelligence Delivered. Machine data made accessible
-
Mastering Elastic Stack. Dive into data analysis with a pursuit of mastering ELK Stack on real-world scenarios
-
Learning PySpark. Click here to enter text
-
Scala: Guide for Data Science Professionals. Build robust data pipelines with Scala
-
Go Design Patterns. Best practices in software development and CSP
-
Mastering Elasticsearch 5.x. Master the intricacies of Elasticsearch 5 and use it to create flexible and scalable search solutions - Third Edition
-
Deep Learning with Hadoop. Distributed Deep Learning with Large-Scale Data
-
Learning Kibana 5.0. Exploit the visualization capabilities of Kibana and build powerful interactive dashboards
-
TensorFlow Machine Learning Cookbook. Over 60 practical recipes to help you master Google’s TensorFlow machine learning library
-
Elasticsearch 5.x Cookbook. Distributed Search and Analytics - Third Edition
-
Java for Data Science. Examine the techniques and Java tools supporting the growing field of data science
-
Mastering Text Mining with R. Extract and recognize your text data
-
Tableau Cookbook - Recipes for Data Visualization. Click here to enter text
-
Scientific Computing with Python 3. Click here to enter text
-
Fast Data Processing Systems with SMACK Stack. Click here to enter text
-
Apache Spark for Data Science Cookbook. Solve real-world analytical problems
-
Practical Business Intelligence. Optimize Business Intelligence for Efficient Data Analysis
-
Mastering RethinkDB. Master the skills of building real-time apps dramatically easier with open source, scalable database - RethinkDB
-
Principles of Data Science. Mathematical techniques and theory to succeed in data-driven industries
-
Efficient R Programming. A Practical Guide to Smarter Programming
-
Tableau 10 Business Intelligence Cookbook. Create powerful, effective visualizations with Tableau 10
-
Learning Jupyter. Select, Share, Interact and Integrate with Jupyter Not
-
Bayesian Analysis with Python. Click here to enter text
-
R: Recipes for Analysis, Visualization and Machine Learning. Click here to enter text
-
Python: Real World Machine Learning. Take your Python Machine learning skills to the next level
-
Programming Pig. Dataflow Scripting with Hadoop. 2nd Edition
-
Learning R Programming. Language, tools, and practical techniques
-
Python Data Science Essentials. Learn the fundamentals of Data Science with Python - Second Edition
-
R: Unleash Machine Learning Techniques. Smarter data analytics
-
Fast Data Processing with Spark 2. Accelerate your data for rapid insight - Third Edition
-
Hadoop Blueprints. Click here to enter text
-
Spark for Data Science. Click here to enter text
-
Julia for Data Science. high-performance computing simplified
-
Smart Internet of Things Projects. Click here to enter text
-
Practical Data Analysis. Pandas, MongoDB, Apache Spark, and more - Second Edition
-
Introduction to Machine Learning with Python. A Guide for Data Scientists
-
Splunk Best Practices. Operational intelligent made simpler
-
Mastering Predictive Analytics with Python. Click here to enter text
-
Tableau: Creating Interactive Data Visualizations. Creating Interactive Data Visualizations
-
Learning Splunk Web Framework. Create, extend and publish real time Splunk applications
-
Hadoop: Data Processing and Modelling. Data Processing and Modelling
-
Android High Performance Programming. Click here to enter text
-
Introduction to R for Business Intelligence. Profit optimization using data mining, data analysis, and Business Intelligence
-
Machine Learning for the Web. Gaining insight and intelligence from the internet with Python
-
Big Data Analytics with R. Leverage R Programming to uncover hidden patterns in your Big Data
-
Mastering Business Intelligence with MicroStrategy. Master Business Intelligence with Microstrategy 10
-
R for Data Science Cookbook. Over 100 hands-on recipes to effectively solve real-world data problems using the most popular R packages and techniques
-
Smarter Decisions - The Intersection of Internet of Things and Decision Science. A comprehensive guide for solving IoT business problems using decision science
-
Advanced Machine Learning with Python. Solve challenging data science problems by mastering cutting-edge machine learning techniques in Python
-
Understanding Compression. Data Compression for Modern Developers
-
Learning ArcGIS Runtime SDK for .NET. Build a GIS app Using ArcGIS Runtime SDK
-
Simulation for Data Science with R. Effective Data-driven Decision Making
-
Mastering Scala Machine Learning. Advance your skills in efficient data analysis and data processing using the powerful tools of Scala, Spark, and Hadoop
-
Mastering Python Data Analysis. Become an expert at using Python for advanced statistical analysis of data using real-world examples
-
R: Data Analysis and Visualization. Click here to enter text
-
Python Machine Learning Cookbook. 100 recipes that teach you how to perform various machine learning tasks in the real world
-
Advanced Splunk. Click here to enter text
-
Python: Real-World Data Science. Real-World Data Science
-
Splunk Operational Intelligence Cookbook. Transform Big Data into business-critical insights and rethink operational Intelligence with Splunk - Second Edition
-
Data Analytics with Hadoop. An Introduction for Data Scientists
-
Mastering Parallel Programming with R. Master the robust features of R parallel programming to accelerate your data science computations
-
Apache Spark Machine Learning Blueprints. Develop a range of cutting-edge machine learning projects with Apache Spark using this actionable guide
-
Learning Probabilistic Graphical Models in R. Familiarize yourself with probabilistic graphical models through real-world problems and illustrative code examples in R
-
OpenStack Sahara Essentials. Integrate, deploy, rapidly configure, and successfully manage your own big data-intensive clusters in the cloud using OpenStack Sahara
-
Hadoop Real-World Solutions Cookbook. Over 90 hands-on recipes to help you learn and master the intricacies of Apache Hadoop 2.X, YARN, Hive, Pig, Oozie, Flume, Sqoop, Apache Spark, and Mahout - Second Edition
-
R Machine Learning By Example. Understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems successfully
-
Mastering .NET Machine Learning. Use machine learning in your .NET applications
-
Learning Responsive Data Visualization. Create stunning data visualizations that look awesome on every device and screen resolutions
-
Learning QGIS. Create great maps and perform geoprocessing tasks with ease - Third Edition
-
Regression Analysis with Python. Discover everything you need to know about the art of regression analysis with Python, and change how you view data
-
Elasticsearch Server. Leverage Elasticsearch to create a robust, fast, and flexible search solution with ease - Third Edition
-
Real-Time Big Data Analytics. Design, process, and analyze large sets of complex data in real time
-
Advanced Oracle PL/SQL Developer's Guide. Master the advanced concepts of PL/SQL for professional-level certification and learn the new capabilities of Oracle Database 12c - Second Edition
-
Learning Predictive Analytics with Python. Click here to enter text
-
Elasticsearch Essentials. Harness the power of ElasticSearch to build and manage scalable search and analytics solutions with this fast-paced guide
-
Splunk Developer's Guide. Learn the A to Z of building excellent Splunk applications with the latest techniques using this comprehensive guide - Second Edition
-
R Data Science Essentials. R Data Science Essentials
-
Learning Hunk. A quick, practical guide to rapidly visualizing and analyzing your Hadoop data using Hunk
-
Elasticsearch Indexing. How to Improve User’s Search Experience
-
Mathematica Data Analysis. Learn and explore the fundamentals of data analysis with power of Mathematica
-
Python Business Intelligence Cookbook. Leverage the computational power of Python with more than 60 recipes that arm you with the required skills to make informed business decisions
-
The New Relational Database Dictionary. Terms, Concepts, and Examples
-
Monitoring Docker. Monitor your Docker containers and their apps using various native and third-party tools with the help of this exclusive guide!
-
Apache Oozie Essentials. Unleash the power of Apache Oozie to create and manage your big data and machine learning pipelines in one go
-
Python Data Visualization Cookbook. Visualize data using Python's most popular libraries
-
Learning Couchbase. Design documents and implement real world e-commerce applications with Couchbase
-
Kibana Essentials. Use the functionalities of Kibana to discover data and build attractive visualizations and dashboards for real-world scenarios
-
Getting Started with Python Data Analysis. Learn to use powerful Python libraries for effective data processing and analysis
-
Data Analysis with Stata. Explore the big data field and learn how to perform data analytics and predictive modelling in STATA
-
Data Analysis and Business Modeling with Excel 2013. Manage, analyze, and visualize data with Microsoft Excel 2013 to transform raw data into ready to use information
-
Mastering Python Data Visualization. Generate effective results in a variety of visually appealing charts using the plotting packages in Python
-
Creating Stunning Dashboards with QlikView. Bring real business insights to your company through effective and engaging dashboards in QlikView
-
Apache Mahout Clustering Designs. Explore clustering algorithms used with Apache Mahout
-
Mastering Data Analysis with R. Gain sharp insights into your data and solve real-world data science problems with R—from data munging to modeling and visualization
-
Python Machine Learning. Learn how to build powerful Python machine learning algorithms to generate useful data insights with this data analysis tutorial
-
Mastering Social Media Mining with R. Extract valuable data from your social media sites and make better business decisions using R
-
Mastering Python Scientific Computing. A complete guide for Python programmers to master scientific computing using Python APIs and tools
-
Apache Spark Graph Processing. Build, process and analyze large-scale graph data effectively with Spark