data science mit press

Data Science - (MIT Press Essential Knowledge) by John D Kelleher & Brendan Tierney (Paperback)

Graph Paper Notebook - (Math and Science Notebooks) by Young Dreamers Press (Paperback)

Graph Paper Notebook - (Math and Science Notebooks) by Young Dreamers Press (Paperback)

Graph Paper Notebook - (Math and Science Notebooks) by Young Dreamers Press (Paperback)

Financial Data Science with Python - by Haojun Chen (Paperback)

Inside Data Science - by Philipp Brandt

Elements of Data Science - by Allen B Downey (Paperback)

Building Data Science Applications with FastAPI - Second Edition - 2nd Edition by François Voron (Paperback)

R for Data Science - 2nd Edition by Hadley Wickham & Mine Cetinkaya-Rundel & Garrett Grolemund (Paperback)

The Data Science Design Manual - (Texts in Computer Science) by Steven S Skiena (Hardcover)

Learning Data Science - by Sam Lau & Joseph Gonzalez & Deborah Nolan (Paperback)

Build a Career in Data Science - by Emily Robinson & Jacqueline Nolis (Paperback)

Practical Linear Algebra for Data Science - by Mike X Cohen (Paperback)

Python Data Science Handbook - 2nd Edition by Jake Vanderplas (Paperback)

Learning to Love Data Science - by Mike Barlow (Paperback)

Data Science for Business - by Foster Provost & Tom Fawcett (Paperback)

Data Science Essentials for Dummies - by Lillian Pierson (Paperback)

Data Science for Supply Chain Forecasting - by Nicolas Vandeput (Paperback)

Data Science from Scratch - 2nd Edition by Joel Grus (Paperback)

Essential Math for Data Science - by Thomas Nield (Paperback)

Deep Learning Architectures - (Springer the Data Sciences) by Ovidiu Calin (Paperback)

Text Analytics for Corpus Linguistics and Digital Humanities - (Language, Data Science and Digital Humanities) by Gerold Schneider (Paperback)

Doing Data Science - by Cathy O'Neil & Rachel Schutt (Paperback)

Murach's Python for Data Science (2nd Edition) - by Scott McCoy (Hardcover)