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.

siatka lista

Hands-On Machine Learning on Google Cloud Platform. Implementing smart and efficient analytics using Cloud ML Engine

Giuseppe Ciaburro, V Kishore Ayyadevara, Alexis Perrier,...

Hands-On Python Deep Learning for the Web. Integrating neural network architectures to build smart web apps with Flask, Django, and TensorFlow

Anubhav Singh, Sayak Paul

Hands-On Recommendation Systems with Python. Start building powerful and personalized, recommendation engines with Python

Rounak Banik

Hands-On Reinforcement Learning for Games. Implementing self-learning agents in games using artificial intelligence techniques

Micheal Lanham

Hands-On SAS for Data Analysis. A practical guide to performing effective queries, data visualization, and reporting techniques

Harish Gulati

Hands-On SQL Server 2019 Analysis Services. Design and query tabular and multi-dimensional models using Microsoft's SQL Server Analysis Services

Steven Hughes

Hands-On Time Series Analysis with R. Perform time series analysis and forecasting using R

Rami Krispin

Hands-On Web Scraping with Python. Perform advanced scraping operations using various Python libraries and tools such as Selenium, Regex, and others

Anish Chapagain

Haskell Data Analysis Cookbook. Explore intuitive data analysis techniques and powerful machine learning methods using over 130 practical recipes

Nishant Shukla

HDInsight Essentials. Learn how to build and deploy a modern big data architecture to empower your business

Rajesh Nadipalli

Healthcare Analytics Made Simple. Techniques in healthcare computing using machine learning and Python

Vikas (Vik) Kumar, Shameer Khader

Highcharts Essentials. Create interactive data visualization charts with the Highcharts JavaScript library

Bilal Shahid

Hurtownie danych. Od przetwarzania analitycznego do raportowania

Adam Pelikant

Hurtownie danych. Od przetwarzania analitycznego do raportowania. Wydanie II

Adam Pelikant

IBM SPSS Modeler Essentials. Effective techniques for building powerful data mining and predictive analytics solutions

Keith McCormick, Jesus Salcedo

Implementing Analytics Solutions Using Microsoft Fabric--DP-600 Exam Study Guide. Boost your skills with expert insights and certification-ready strategies for Microsoft analytics

Jagjeet Singh Makhija, Charles Odunukwe

Implementing Oracle API Platform Cloud Service. Design, deploy, and manage your APIs in Oracle's new API Platform

Andrew Bell, Francisco Arturo Viveros, Sander Rensen,...

Implementing Qlik Sense. Design, Develop, and Validate BI solutions for consultants

Ganapati Hegde, Kaushik Solanki

Implementing Splunk 7, Third Edition. Effective operational intelligence to transform machine-generated data into valuable business insight - Third Edition

James D. Miller

Instant MapReduce Patterns - Hadoop Essentials How-to. Practical recipes to write your own MapReduce solution patterns for Hadoop programs

Liyanapathirannahelage H Perera

Interactive Applications Using Matplotlib

Tony Yu, Eli Bendersky, Fredrik Johansson, Benjamin...

Interactive Dashboards and Data Apps with Plotly and Dash. Harness the power of a fully fledged frontend web framework in Python – no JavaScript required

Elias Dabbas

Introduction To Financial Modelling. Master Financial Modelling Techniques with Excel and Best Practices

MrExcel's Holy Macro! Books, Liam Bastick

Introduction to R for Business Intelligence. Profit optimization using data mining, data analysis, and Business Intelligence

Jay Gendron