Think Stats: Exploratory Data Analysis - Image 1

£43.85

O'Reilly Think Stats: Exploratory Data Analysis

Name: Think Stats: Exploratory Data Analysis
Brand: O'Reilly
Price: 43.85 GBP
Availability: InStock

Econometrics

About as cheap as it gets. The only time it was cheaper was 6 months ago.

£44 today · all-time low £44 (Nov 2025) · usually the usual

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 74 days • 74 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 74 days • 2 price levels

Days at Price

Current Price

Price Analysis

Most common price: £44 (69 days, 93.2%)

Price range: £44 - £45

Price levels: 2 different prices over 74 days

Description

If you know how to program, you have the skills to turn data into knowledge. This thoroughly revised edition presents statistical concepts computationally, rather than mathematically, using programs written in Python. Through practical examples and exercises based on real-world datasets, you'll learn the entire process of exploratory data analysis--from wrangling data and generating statistics to identifying patterns and testing hypotheses. Whether you're a data scientist, software engineer, or data enthusiast, you'll get up to speed on commonly used tools including NumPy, SciPy, and Pandas. You'll explore distributions, relationships between variables, visualization, and many other concepts. And all chapters are available as Jupyter notebooks, so you can read the text, run the code, and work on exercises all in one place. Analyze data distributions and visualize patterns using Python libraries Improve predictions and insights with regression models Dive into specialized topics like time series analysis and survival analysis Integrate statistical techniques and tools for validation, inference, and more Communicate findings with effective data visualization Troubleshoot common data analysis challenges Boost reproducibility and collaboration in data analysis projects with interactive notebooks

Product Specifications

Brand: O'Reilly
Format: paperback
ASIN: 1098190254
Category: Books > Subjects > Business, Finance & Law > Economics > Econometrics
Domain: Amazon UK
Release Date: 25 April 2025
Listed Since: 20 November 2024

Barcode

No barcode data available

O'Reilly Think Stats: Exploratory Data Analysis

About as cheap as it gets. The only time it was cheaper was 6 months ago.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Practical Statistics for Data Scientists, 2e: 50+ Essential Concepts Using R and Python

Statistics Using Python

Statistik: Der Weg zur Datenanalyse

Basic Statistics with R: Reaching Decisions with Data

Statistics and Data Visualisation with Python (Chapman & Hall/CRC The Python Series)

Applied Statistics with Python: Two-Volume Set

Understandable Statistics: Concepts and Methods, Enhanced

Business Statistics: A First Course: United States Edition

Using R for Statistics

CRC Press Statistics and Data Visualisation with Python Book

Statistics: Principles and Methods, EMEA Edition

Python for Probability, Statistics, and Machine Learning

Formeln und Tabellen der angewandten mathematischen Statistik

Developing Students’ Statistical Reasoning: Connecting Research and Teaching Practice

Applied Statistics Research Progress

From Statistical Physics to Data-Driven Modelling: with Applications to Quantitative Biology

Modern Statistics with R: From Wrangling and Exploring Data to Inference and Predictive Modelling

Statistical Thinking: Improving Business Performance (Wiley and SAS Business Series)

Elementary Statistics

An Introduction to Statistics with Python: With Applications in the Life Sciences (Statistics and Computing)

StataQuest 4 Windows 95 Version

Trends in Applied Statistics Research

A User's Guide to Business Analytics

Probability and Statistics for Data Science