The social marketplace for new and used books.

Get started

Learn to sell
Learn to buy
Buy textbooks
Sign up
Buy a giftcard
For the authors

Support

Help
Track a shipment
Terms of use
Privacy policy
Cookies policy

Company

About us
Work with us
Give feedback
Categories

Contact us

Fast delivery with

Safe payments by

Visa
Mastercard
Vipps
Klarna

© 2026 Bookis AS

English

Norway

Region is based on IP address

  1. Home
  2. Data science and analysis
  1. Home
  2. Genres
  3. Data science and analysis
Data Analysis with Open Source Tools

Paperback • 2010 • English • 1. edition

Data Analysis with Open Source Tools: A Hands-On Guide for Programmers and Data Scientists

By Philipp Janert

0 Ratings • 0.0 of 5

‌
‌
‌
‌
‌
‌
‌
‌
‌
‌
‌
‌
‌
‌
‌
‌
‌

About the book

Collecting data is relatively easy, but turning raw information into something useful requires that you know how to extract precisely what you need. With this insightful book, intermediate to experienced programmers interested in data analysis will learn techniques for working with data in a business environment. You'll learn how to look at data to discover what it contains, how to capture those ideas in conceptual models, and then feed your understanding back into the organization through busin...Show more

Data science and analysis: general
Research methods: general
Business studies: general

Book details

ISBN

9780596802356

Publisher

O'Reilly Media

Published year

2010

Language

English

Edition

1

Original title

Data Analysis with Open Source Tools

Format

Paperback

Shippping and returns

Shipping

Used books are shipped by the seller. Expected delivery after package is sent is 2-4 days.

Returns

Contact the seller after delivery.

Reviews · 0

0 Ratings • 0.0 of 5

You might also like

Data Visualisation A Handbook for Data Driven Design

Data Visualisation A Handbook for Data Driven Design

Andy Kirk

Python Data Science Handbook Essential Tools for Working with Data

Python Data Science Handbook Essential Tools for Working with Data

Jake VanderPlas

Data Analysis For Social Science: A Friendly and Practical Introduction

Data Analysis For Social Science: A Friendly and Practical Introduction

Elena Llaudet

Applied Statistics Using R A Guide for the Social Sciences

Applied Statistics Using R A Guide for the Social Sciences

Mehmet Mehmetoglu

Data and Society A Critical Introduction

Data and Society A Critical Introduction

Anne Beaulieu

The Data Revolution A Critical Analysis of Big Data, Open Data & Data Infrastructures

The Data Revolution A Critical Analysis of Big Data, Open Data & Data Infrastructures

Rob Kitchin

Data analytics for accounting

Data analytics for accounting

Finn Kinserdal

Introduction to Scientific Programming with Python

Introduction to Scientific Programming with Python

Joakim sundnes

Data mining for business analytics

Data mining for business analytics

Galit Shmueli

The Model Thinker

The Model Thinker

Scott E. Page

The Art of Statistics

The Art of Statistics

David Spiegelhalter

Microsoft Excel 2019 Data Analysis and Business Modeling

Microsoft Excel 2019 Data Analysis and Business Modeling

Wayne Winston

Data Visualisation

Data Visualisation

Andy Krik

Data Visualization

Data Visualization

Kieran Healy

Practical Web Scraping for Data Science

Practical Web Scraping for Data Science

Seppe (Katholieke Universiteit Leuven Belgium) Vanden Broucke

Statistical Analysis with R For Dummies

Statistical Analysis with R For Dummies

Joseph Schmuller

Python for Data Analysis, 2e

Python for Data Analysis, 2e

Wes McKinney

R for Everyone

R for Everyone

Jared P. Lander

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

Martin Kleppmann

Quantitative Social Science

Quantitative Social Science

Kosuke Imai

Financial Analytics with R

Financial Analytics with R

Mark Bennett

Python Data Science Handbook: Essential Tools for Working with Data

Python Data Science Handbook: Essential Tools for Working with Data

Jake Vanderplas

Spreadsheet Modeling & Decision Analysis

Spreadsheet Modeling & Decision Analysis

Cliff T. Ragsdale

Microsoft Excel Data Analysis and Business Modeling

Microsoft Excel Data Analysis and Business Modeling

Wayne Winston

Data Science in R

Data Science in R

USA) Nolan Deborah (University of California Berkeley

Big Data: Using SMART Big Data, Analytics and Metrics To Make Better Decisi

Big Data: Using SMART Big Data, Analytics and Metrics To Make Better Decisi

Data Analysis with R

Data Analysis with R

Selecting the Right Analyses for Your Data

Selecting the Right Analyses for Your Data

USA) Vogt W. Paul (Idaho State University

Data Smart: Using Data Science to Transform Information Into Insight

Data Smart: Using Data Science to Transform Information Into Insight

John W. Foreman

Doing Data Science

Doing Data Science

Data-Driven Modeling & Scientific Computation

Data-Driven Modeling & Scientific Computation

Johannes Nathan

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

Data Analysis and Data Mining: An Introduction

Data Analysis and Data Mining: An Introduction

Adelchi Azzalini

Microsoft Excel 2010 Data Analysis and Business Modeling

Microsoft Excel 2010 Data Analysis and Business Modeling

Wayne L. Winston

Data Mining

Data Mining

Witten, Ian H.; Frank, Eibe

Data Preparation for Data Mining

Data Preparation for Data Mining

Dorian Pyle

Data Science and Big Data Analytics

Data Science and Big Data Analytics

Big Data

Big Data

Viktor Mayer-Schönberger