| Vorliegende Sprache |
eng |
| Hinweise auf parallele Ausgaben |
1807319008 Erscheint auch als (Druck-Ausgabe): ‡De Mauro, Andrea: Data analytics made easy |
| ISBN |
978-1-80107-415-5 |
| Name |
De Mauro, Andrea ¬[VerfasserIn]¬ |
| T I T E L |
Data analytics made easy |
| Zusatz zum Titel |
use machine learning and data storytelling in your work without writing any code |
| Verlagsort |
Birmingham ; Mumbai |
| Verlag |
Packt |
| Erscheinungsjahr |
August 2021 |
| 2021 |
| Umfang |
1 Online-Ressource (xxiv, 381 Seiten) : Illustrationen, Diagramme |
| Reihe |
Expert insight |
| Notiz / Fußnoten |
Includes bibliographical references and index |
| Titelhinweis |
Erscheint auch als (Druck-Ausgabe): ‡De Mauro, Andrea: Data analytics made easy |
| ISBN |
ISBN 978-1-80107-458-2 |
| Systemvoraussetzungen |
$bMode of access: World Wide Web. |
| Klassifikation |
006.312 |
| ST 271 |
| Kurzbeschreibung |
Make informed decisions using data analytics, machine learning, and data visualizations Key Features Take raw data and transform it to add value to your organization Learn the art of telling stories with your data to engage with your audience Apply machine learning algorithms to your data with a few clicks of a button Book Description Data analytics has become a necessity in modern business, and skills such as data visualization, machine learning, and digital storytelling are now essential in every field. If you want to make sense of your data and add value with informed decisions, this is the book for you. Data Analytics Made Easy is an accessible guide to help you start analyzing data and quickly apply these skills to your work. It focuses on how to generate insights from your data at the click of a few buttons, using the popular tools KNIME and Microsoft Power BI. The book introduces the concepts of data analytics and shows you how to get your data ready and apply machine learning algorithms. Implement a complete predictive analytics solution with KNIME and assess its level of accuracy. Create impressive visualizations with Microsoft Power BI and learn the greatest secret in successful analytics - how to tell a story with your data. You'll connect the dots on the various stages of the data-to-insights process and gain an overview of alternative tools, including Tableau and H20 Driverless AI. By the end of this book, you will have learned how to implement machine learning algorithms and sell the results to your customers without writing a line of code. What you will learn Understand the potential of data and its impact on any business Influence business decisions with effective data storytelling when delivering insights Use KNIME to import, clean, transform, combine data feeds, and automate recurring workflows Learn the basics of machine learning and AutoML to add value to your organization Build, test, and validate simple supervised and unsupervised machine learning models with KNIME Use Power BI and Tableau to build professional-looking and business-centric visuals and dashboards Who this book is for Whether you are working with data experts or want to find insights in your business' data, you'll find this book an effective way to add analytics to your skill stack. No previous math, statistics, or computer science knowledge is required. |
| 1. Schlagwortkette |
Big Data |
| Deep learning |
| Python <Programmiersprache> |
| Data Mining |
| Maschinelles Lernen |
| ANZEIGE DER KETTE |
Big Data -- Deep learning -- Python -- Data Mining -- Maschinelles Lernen |
| SWB-Titel-Idn |
178661863X |
| Signatur |
Packt EBS |
| Bemerkungen |
Elektronischer Volltext - Campuslizenz |
| Elektronische Adresse |
$uhttps://portal.igpublish.com/iglibrary/search/PACKT0005991.html |
| Internetseite / Link |
Verlag |
