Nettbokhandelen for kjøp og salg av bøker.

Kom i gang

Lær å selge
Lær å kjøpe brukt
Kjøp pensumbøker
Logg inn eller registrer deg
Kjøp et gavekort
For forfattere

Kundeservice

Hjelp
Spor ordre
Brukervilkår
Personvernregler
Informasjonskapsler

Bookis

Om oss
Jobb hos oss!
Gi tilbakemelding
Sjangere

Kontakt oss

Rask levering med

Trygg betaling med

Visa
Mastercard
Vipps
Klarna

© 2026 Bookis AS

Norsk

  1. Hjem
  5. Programmerings- og skriptspråk
  1. Hjem
  3. Sjangere
  7. Programmerings- og skriptspråk
Programming Skills for Data Science

Pocket • 2018 • 1. utgave

Programming Skills for Data Science

Av Michael Freeman, Joel Ross

0 vurderinger • 0.0 av 5

‌
‌
‌
‌
‌
‌
‌
‌
‌
‌
‌
‌
‌
‌
‌
‌
‌

Om boken

The Foundational Hands-On Skills You Need to Dive into Data Science "Freeman and Ross have created the definitive resource for new and aspiring data scientists to learn foundational programming skills." -From the foreword by Jared Lander, series editor Using data science techniques, you can transform raw data into actionable insights for domains ranging from urban planning to precision medicine. Programming Skills for Data Science brings together all the foundational skills you need to get start...Vis mer

Programmerings- og skriptspråk

Om boken

ISBN

9780135133101

Forlag

Pearson Education (US)

Publiseringsår

2018

Språk

Utgave

1

Originaltittel

Programming Skills for Data Science

Format

Pocket

Frakt og retur

Frakt

Brukte bøker sendes av selgeren. Forventet leveringstid etter pakken er sendt er 2-4 dager.

Returer

Kontakt selgeren etter levering.

Omtaler · 0

0 vurderinger • 0.0 av 5

Du vil kanskje også like

Data Analysis For Social Science: A Friendly and Practical Introduction

Data Analysis For Social Science: A Friendly and Practical Introduction

Elena Llaudet

Python Data Science Handbook Essential Tools for Working with Data

Python Data Science Handbook Essential Tools for Working with Data

Jake VanderPlas

An Introduction to Statistical Learning with Applications in R

An Introduction to Statistical Learning with Applications in R

Gareth James

SQL for Data Scientists A Beginner's Guide for Building Datasets for Analysis

SQL for Data Scientists A Beginner's Guide for Building Datasets for Analysis

Renee M. P. Teate

Introduction to Scientific Programming with Python

Introduction to Scientific Programming with Python

Joakim sundnes

Learning SQL Generate, Manipulate, and Retrieve Data

Learning SQL Generate, Manipulate, and Retrieve Data

Alan Beaulieu

Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow

Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow

Aurelien Geron

Storytelling with Data Let's Practice!

Storytelling with Data Let's Practice!

Cole Nussbaumer Knaflic

Data mining for business analytics

Data mining for business analytics

Galit Shmueli

The Art of Statistics

The Art of Statistics

David Spiegelhalter

Practical Programming, 3e

Practical Programming, 3e

Paul Gries

Data Visualization

Data Visualization

Kieran Healy

R for Everyone

R for Everyone

Jared P. Lander

Practical Machine Learning with Python

Practical Machine Learning with Python

Dipanjan Sarkar

Statistical Analysis with R For Dummies

Statistical Analysis with R For Dummies

Joseph Schmuller

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

R for Data Science: Import, Tidy, Transform, Visualize, and Model Data

Hadley Wickham

Hands-On Machine Learning with Scikit-Learn and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems

Hands-On Machine Learning with Scikit-Learn and Tensorflow: Concepts, Tools, and Techniques to Build Intelligent Systems

Geron

Python for Data Analysis, 2e

Python for Data Analysis, 2e

Wes McKinney

Coding All-in-One For Dummies

Coding All-in-One For Dummies

Nikhil Abraham

Quantitative Social Science

Quantitative Social Science

Kosuke Imai

R for Data Science

R for Data Science

Garrett Grolemund,

A Primer on Scientific Programming with Python

A Primer on Scientific Programming with Python

Hans Petter Langtangen

Data Science in R

Data Science in R

USA) Nolan Deborah (University of California Berkeley

Data Science from Scratch: First Principles with Python

Data Science from Scratch: First Principles with Python

Joel Grus

Data Analysis with R

Data Analysis with R

Programming

Programming

Bjarne Stroustrup

Statistics : An Introduction Using R

Statistics : An Introduction Using R

Michael J. Crawley

Learning R

Learning R

Richard Cotton

Doing Data Science

Doing Data Science

Data Smart: Using Data Science to Transform Information Into Insight

Data Smart: Using Data Science to Transform Information Into Insight

John W. Foreman

Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking

Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking

Foster Provost

The R Book

The R Book

Mick Crawley

Data Analysis with Open Source Tools

Data Analysis with Open Source Tools

Philipp Janert

R in a Nutshell

R in a Nutshell

Joseph Adler

Beginning Programming All-in-One Desk Reference For Dummies

Beginning Programming All-in-One Desk Reference For Dummies

Wallace Wang

Introductory Statistics with R

Introductory Statistics with R

Peter Dalgaard

Statistics

Statistics

Michael J.Crawley

Statistical Computing with R

Statistical Computing with R

Maria L. Rizzo

Data Preparation for Data Mining

Data Preparation for Data Mining

Dorian Pyle