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

Geospatial Data Science Quick Start Guide. Effective techniques for performing smarter geospatial analysis using location intelligence

Abdishakur Hassan, Jayakrishnan Vijayaraghavan

Get Your Hands Dirty on Clean Architecture. A hands-on guide to creating clean web applications with code examples in Java

Tom Hombergs

Getting Started with Amazon SageMaker Studio. Learn to build end-to-end machine learning projects in the SageMaker machine learning IDE

Michael Hsieh

Getting Started with DuckDB. A practical guide for accelerating your data science, data analytics, and data engineering workflows

Simon Aubury, Ned Letcher, Kris Jenkins

Getting Started with Elastic Stack 8.0. Run powerful and scalable data platforms to search, observe, and secure your organization

Asjad Athick

Getting Started with Flurry Analytics. In today's mobile app market you need to track your applications and analyze user data to give yourself the competitive edge. Flurry Analytics will do all that and more, and this book is the perfect developer's guide

Bhanu Birani

Getting Started with Haskell Data Analysis. Put your data analysis techniques to work and generate publication-ready visualizations

James Church

Getting Started with Oracle Event Processing 11g. Create and develop real-world scenario Oracle CEP applications

Alexandre Alves, Lloyd Williams, Robin J. Smith

Getting Started with Python Data Analysis. Learn to use powerful Python libraries for effective data processing and analysis

Anthony Ojeda, Phuong Vo.T.H

Getting Started with Simulink. Written by an experienced engineer, this book will help you utilize the great user-friendly features of Simulink to advance your modeling, testing, and interfacing skills. Packed with illustrations and step-by-step walkthroughs

Luca Zamboni

Getting Started with Streamlit for Data Science. Create and deploy Streamlit web applications from scratch in Python

Tyler Richards

Getting Started with Tableau 2018.x. Get up and running with the new features of Tableau 2018 for impactful data visualization

Tristan Guillevin

ggplot2 Essentials. Explore the full range of ggplot2 plotting capabilities to create meaningful and spectacular graphs

Donato Teutonico

Go Design Patterns. Best practices in software development and CSP

Mario Castro Contreras

Go Web Scraping Quick Start Guide. Implement the power of Go to scrape and crawl data from the web

Vincent Smith

Google Analytics dla marketingowców. Wydanie III

Martyna Zastrożna