Електронні книги

Data Analysis with R. Click here to enter text

Tony Fischetti

Data Analysis with R, Second Edition. A comprehensive guide to manipulating, analyzing, and visualizing data in R - Second Edition

Tony Fischetti

Data Analysis with STATA. Explore the big data field and learn how to perform data analytics and predictive modelling in STATA

Prasad Kothari

Data Analytics for Marketing. A practical guide to analyzing marketing data using Python

Guilherme Diaz-Bérrio

Data Analytics Made Easy. Analyze and present data to make informed decisions without writing any code

De Mauro

Data Analytics. Master the Art of Data Analytics with Essential Tools and Techniques

Mercury Learning and Information, Christopher Greco

Data Analytics Using Splunk 9.x. A practical guide to implementing Splunk's features for performing data analysis at scale

Dr. Nadine Shillingford

Data Augmentation with Python. Enhance deep learning accuracy with data augmentation methods for image, text, audio, and tabular data

Duc Haba

Data Center Virtualization Certification: VCP6.5-DCV Exam Guide. Everything you need to achieve 2V0-622 certification – with exam tips and exercises

Andrea Mauro , Paolo Valsecchi

Data Cleaning and Exploration with Machine Learning. Get to grips with machine learning techniques to achieve sparkling-clean data quickly

Michael Walker

Data Cleaning with Power BI. The definitive guide to transforming dirty data into actionable insights

Gus Frazer

Data Democratization with Domo. Bring together every component of your business to make better data-driven decisions using Domo

Jeff Burtenshaw

Data driven marketing. O logicznym podejściu do podejmowania decyzji

Adrian Andrzejczyk

Data Engineering Best Practices. Architect robust and cost-effective data solutions in the cloud era

Richard J. Schiller, David Larochelle

Data Engineering with Alteryx. Helping data engineers apply DataOps practices with Alteryx

Paul Houghton

Data Engineering with Apache Spark, Delta Lake, and Lakehouse. Create scalable pipelines that ingest, curate, and aggregate complex data in a timely and secure way

Manoj Kukreja