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Posted on 2016-12-032018-10-17 by ryan

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My Bookshelf (LibraryThing)

Google BigQuery: The Definitive Guide: Data Warehousing, Analytics, and Machine Learning at Scale by Valliappa Lakshmanan 2019-11-19
Business Analysis by James Cadle Paul, Donald Yeates, James Cadle, Malcolm Eva, Keith Hindle, Debra Paul, Craig Rollason, Paul Turner, Donald Yeates Debra 2019-11-19
Principles of Data Wrangling: Practical Techniques for Data Preparation by Tye Rattenbury 2019-11-19
The Quick Python Book by Naomi Ceder 2019-11-19
The Pragmatic Programmer: your journey to mastery, 20th Anniversary Edition (2nd Edition) by David Thomas 2019-11-19
Python for Finance: Mastering Data-Driven Finance by Yves Hilpisch 2019-11-19
Reinventing Jobs: A 4-Step Approach for Applying Automation to Work by Ravin Jesuthasan 2019-11-19
Advanced Analytics Methodologies: Driving Business Value with Analytics (FT Press Analytics) by Michele Chambers 2019-11-19
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data by Hadley Wickham 2019-11-19
Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data by Emc Education Services 2019-11-19
Bad Data Handbook: Cleaning Up The Data So You Can Get Back To Work by Q. Ethan McCallum 2019-11-19
R for Excel Users: An Introduction to R for Excel Analysts by John L Taveras 2019-11-19
The Big Book of Dashboards: Visualizing Your Data Using Real-World Business Scenarios by Steve Wexler 2019-11-19
Beyond Spreadsheets with R: A beginner's guide to R and RStudio by Jonathan Carroll 2019-11-19
Database in Depth: Relational Theory for Practitioners by C. J. Date 2019-11-19

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