Wydawca: 16

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, Rahul Sharma

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

Data Engineering with AWS. Acquire the skills to design and build AWS-based data transformation pipelines like a pro - Second Edition

Gareth Eagar

Data Engineering with AWS Cookbook. A recipe-based approach to help you tackle data engineering problems with AWS services

Trâm Ngoc Pham, Gonzalo Herreros González, Viquar...

Data Engineering with AWS. Learn how to design and build cloud-based data transformation pipelines using AWS

Gareth Eagar

Data Engineering with Databricks Cookbook. Build effective data and AI solutions using Apache Spark, Databricks, and Delta Lake

Pulkit Chadha

Data Engineering with dbt. A practical guide to building a cloud-based, pragmatic, and dependable data platform with SQL

Roberto Zagni

Data Engineering with Google Cloud Platform. A guide to leveling up as a data engineer by building a scalable data platform with Google Cloud - Second Edition

Adi Wijaya, António Vilares

Data Engineering with Google Cloud Platform. A practical guide to operationalizing scalable data analytics systems on GCP

Adi Wijaya

Data Engineering with Python. Work with massive datasets to design data models and automate data pipelines using Python

Paul Crickard

Data Engineering with Scala and Spark. Build streaming and batch pipelines that process massive amounts of data using Scala

Eric Tome, Rupam Bhattacharjee, David Radford