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Confident Data Skills: Master the Fundamentals of Working with Data and Supercharge Your Career (Confident Series) (English Edition) - de Kirill Eremenko (Author)
Details Confident Data Skills: Master the Fundamentals of Working with Data and Supercharge Your Career (Confident Series) (English Edition)
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Le Titre Du Fichier | Confident Data Skills: Master the Fundamentals of Working with Data and Supercharge Your Career (Confident Series) (English Edition) |
Date de publication | |
Traducteur | Nawfal Kazim |
Nombre de Pages | 575 Pages |
La taille du fichier | 25.72 MB |
Langue | Anglais & Français |
Éditeur | Koren Publishers Jerusalem |
ISBN-10 | 1709727546-YTC |
Type de eBook | PDF AMZ EPub MBP OPF |
de (Auteur) | Kirill Eremenko |
EAN | 209-6595107261-MNI |
Nom de Fichier | Confident-Data-Skills-Master-the-Fundamentals-of-Working-with-Data-and-Supercharge-Your-Career-(Confident-Series)-(English-Edition).pdf |
Télécharger Confident Data Skills: Master the Fundamentals of Working with Data and Supercharge Your Career (Confident Series) (English Edition) Livre PDF Gratuit
Learning how to work with data may seem intimidating or difficult but with Confident Data Skills you will be able to master the fundamentals and supercharge your professional abilities This essential book covers data mining preparing data analysing data communicating data financial modelling visualizing insights and presenting data through film making and dynamic depth
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Confident Digital Content gives you the opportunity to become digitally multiskilled and learn the fundamentals of the most important types of digital creativity
– Confident data skills master the fundamentals of working with data and supercharge your career Kirill Eremenko – London Kogan Page 2018 – 254 p ill
Data Science has been ranked as one of the hottest professions and the demand for data practitioners is booming This Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning
Learn both analytic and big data skills Exploring and visualizing data Working with Hadoop Hive Pig and SAS Fundamentals of statistics and analytics Improving data quality for reporting and analytics Accessing transforming and manipulating data Essential communication skills Machine learning and predictive modeling techniques Work with distributed and inmemory big data sets