Mastering Python for Bioinformatics
Ken Youens-Clark
Published 2021
456 pages
The most popular data science books of 2021
Data science books show you how to learn from data. Statistics, databases, visualization and machine learning are taught through practical examples, usually with code. Beginners will find gentle introductions and working analysts will find deeper references. Good reading for a career change, too. This list shows the ones first published in 2021.
Results
Data Governance
Alison Holt, Benoit Aubert, David Sutton, édéric Gelissen
Published 2021
148 pages
Humanities Data Analysis
Folgert Karsdorp, Allen Riddell, Mike Kestemont
Published 2021
360 pages
The Official Guide to Mermaid.js
Knut Sveidqvist, Ashish Jain
Published 2021
492 pages
Azure Databricks Cookbook
Phani Raj, Vinod Jaiswal
Published 2021
452 pages
Power Query Cookbook
Andrea Janicijevic
Published 2021
412 pages
Mastering Tableau 2021 Implement advanced business intelligence techniques and analytics with Tableau
David Baldwin, Marleen Meier, Kate Strachnyi
Published 2021
792 pages
Data Protection Officer
Sofia Edvardsen, Filip Johnssén
Published 2021
258 pages
AI for Cars
Josep Aulinas, Hanky Sjafrie
Published 2021
128 pages
Computer Age Statistical Inference, Student Edition Algorithms, Evidence, and Data Science
Bradley Efron, Trevor Hastie
Published 2021
491 pages
Learning Algorithms A Programmer's Guide to Writing Better Code
George Heineman
Published 2021
263 pages
Big Data
Wolfgang Pietsch
Published 2021
75 pages
Murach's Python for Data Analysis
Scott McCoy
Published 2021
600 pages
Verifying Cyber-Physical Systems A Path to Safe Autonomy
Sayan Mitra
Published 2021
312 pages
Beginning jOOQ Learn to Write Efficient and Effective Java-Based SQL Database Operations
Tayo Koleoso
Published 2021
214 pages
Data Science and Data Analytics Opportunities and Challenges
Amit Kumar Tyagi
Published 2021
464 pages
Knowledge Graphs
Aidan Hogan, Eva Blomqvist, Michael Cochez, Claudia d'Amato, Gerard de Melo
Published 2021
257 pages
Tableau Strategies Solving Real, Practical Problems with Data Analytics
Ann Jackson, Luke Stanke
Published 2021
575 pages
Trino
Matt Fuller, Manfred Moser, Martin Traverso
Published 2021
288 pages
Atlas of Forecasts Modeling and Mapping Desirable Futures
Katy Börner
Published 2021
228 pages
Practical Weak Supervision Doing More with Less Data
Wee Hyong Tok, Amit Bahree, Senja Filipi
Published 2021
169 pages
Generative AI with Python and TensorFlow 2 Harness the Power of Generative Models to Create Images, Text, and Music
Joseph Babcock, Raghav Bali
Published 2021
488 pages
Serverless Analytics with Amazon Athena Query Structured, Unstructured, Or Semi-Structured Data in Seconds Without Setting Up Any Infrastructure
Anthony Virtuoso, Mert Turkay Hocanin, Aaron Wishnick, Rahul Pathak
Published 2021
438 pages
Modern Data Protection Ensuring Recoverability of All Modern Workloads
W. Curtis Preston
Published 2021
363 pages