Data Curious : Applying Agile Analytics for Better Business Decisions
Carl Allchin
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Add to BasketActive Machine Learning with Python : Refine and elevate data quality over quantity with active learning
Margaux Masson-Forsythe
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The Definitive Guide to Data Integration : Unlock the power of data integration to efficiently manage, transform, and analyze data
Pierre-Yves BONNEFOY
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Fundamentals of Analytics Engineering : An introduction to building end-to-end analytics solutions
Dumky De Wilde
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Designing Data-Intensive Applications
Martin Kleppmann
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Add to BasketText as Data : A New Framework for Machine Learning and the Social Sciences
Justin Grimmer
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Add to BasketIntroduction to Machine Learning with R : Rigorous Mathematical Analysis
Burger Scott
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Add to BasketAgile Data Warehouse Design : Collaborative Dimensional Modeling, from Whiteboard to Star Schema
Lawrence Corr
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Add to BasketDatabase Design and Relational Theory : Normals Forms and All That Jazz
Date C J
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Add to BasketBuild A Career in Data Science
Emily Robinson
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Add to BasketFinancial Theory with Python : A Gentle Introduction
Yves Hilpisch
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Add to BasketSQL for Data Scientists : A Beginner's Guide for Building Datasets for Analysis
Renee M. P. (HelioCampus) Teate
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Add to BasketKafka in Action
Dylan Scott
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Add to BasketPrinciples of Data Management : Facilitating information sharing
Keith Gordon
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Add to BasketThe Nature of Data : Infrastructures, Environments, Politics
Jenny Goldstein
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Add to BasketCassandra Data Modeling and Schema Design
Steve Hoberman
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Learn Grafana 10.x : A beginner's guide to practical data analytics, interactive dashboards, and observability
Eric Salituro
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Kibana 8.x – A Quick Start Guide to Data Analysis : Learn about data exploration, visualization, and dashboard building with Kibana
Krishna Shah
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Building Interactive Dashboards in Microsoft 365 Excel : Harness the new features and formulae in M365 Excel to create dynamic, automated dashboards
Michael Olafusi
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Database Design and Modeling with Google Cloud : Learn database design and development to take your data to applications, analytics, and AI
Abirami Sukumaran
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MLOps with Red Hat OpenShift : A cloud-native approach to machine learning operations
Ross Brigoli
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Machine Learning Infrastructure and Best Practices for Software Engineers : Take your machine learning software from a prototype to a fully fledged software system
Miroslaw Staron
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Learn T-SQL Querying : A guide to developing efficient and elegant T-SQL code
Pedro Lopes
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