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

Building Interactive Dashboards in Microsoft 365 Excel. Harness the new features and formulae in M365 Excel to create dynamic, automated dashboards

Michael Olafusi, Olanrewaju Oyinbooke

Building Machine Learning Systems with Python. Expand your Python knowledge and learn all about machine-learning libraries in this user-friendly manual. ML is the next big breakthrough in technology and this book will give you the head-start you need

Willi Richert, Luis Pedro Coelho

Building Web and Mobile ArcGIS Server Applications with JavaScript ??? Second Edition. Build exciting custom web and mobile GIS applications with the ArcGIS Server API for JavaScript - Second Edition

Mark Lewin, Eric Pimpler

Business Intelligence with MicroStrategy Cookbook. Over 90 practical, hands-on recipes to help you build your MicroStrategy business intelligence project, including more than a 100 screencasts with this book and

Davide Moraschi

Cleaning Data for Effective Data Science. Doing the other 80% of the work with Python, R, and command-line tools

David Mertz

Cleaning Excel Data With Power Query Straight to the Point. Efficient Data Cleaning Techniques in Excel Using Power Query

MrExcel's Holy Macro! Books, Oz du Soleil

Clojure Data Analysis Cookbook. Dive into data analysis with Clojure through over 100 practical recipes for every stage of the analysis and collection process

Eric Richard Rochester

Clojure for Data Science. Statistics, big data, and machine learning for Clojure programmers

Henry Garner

Cloud Analytics with Google Cloud Platform. An end-to-end guide to processing and analyzing big data using Google Cloud Platform

Sanket Thodge

Codeless Deep Learning with KNIME. Build, train, and deploy various deep neural network architectures using KNIME Analytics Platform

Kathrin Melcher, Rosaria Silipo

CompTIA Data+: DAO-001 Certification Guide. Complete coverage of the new CompTIA Data+ (DAO-001) exam to help you pass on the first attempt

Cameron Dodd

CompTIA Security+ Practice Tests SY0-501. Practice tests in 4 different formats and 6 cheat sheets to help you pass the CompTIA Security+ exam

Ian Neil

Continuing Financial Modelling. Advanced Techniques and Insights for Modern Financial Modelling

MrExcel's Holy Macro! Books, Liam Bastick

Corporate Learning with Moodle Workplace. Explore concepts, implementation, and strategies for adopting Moodle Workplace in your organization

Alex Büchner

Cracking the Data Engineering Interview. Land your dream job with the help of resume-building tips, over 100 mock questions, and a unique portfolio

Kedeisha Bryan, Taamir Ransome

Creating Stunning Dashboards with QlikView. Bring real business insights to your company through effective and engaging dashboards in QlikView

Julian Villafuerte