SQL for Data Science: Data Cleaning, Wrangling and Analytics with Relational Databases (Data-Centric Systems and Applications) - Image 1

£31.47

Springer SQL for Data Science: Data Cleaning, Wrangling and Analytics with Relational Databases (Data-Centric Systems and Applications)

Name: SQL for Data Science: Data Cleaning, Wrangling and Analytics with Relational Databases (Data-Centric Systems and Applications)
Brand: Springer
Price: 31.47 GBP
Availability: InStock

Beginners & Introduction

Price History & Forecast

Last 32 days • 32 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 32 days • 1 price levels

Days at Price

Price Analysis

Most common price: £31 (32 days, 100.0%)

Price range: £31 - £31

Price levels: 1 different prices over 32 days

Description

This textbook explains SQL within the contextof data science and introduces the different parts of SQL as they are needed for the tasks usually carried out during data analysis. Using the framework of the data life cycle, it focuses on the steps that are very often given the short shift in traditional textbooks, like data loading, cleaning and pre-processing. The book is organized as follows. Chapter 1 describes the data life cycle, i.e. the sequence of stages from data acquisition to archiving, that data goes through as it is prepared and then actually analyzed, together with the different activities that take place at each stage. Chapter 2 gets into databases proper, explaining how relational databases organize data. Non-traditional data, like XML and text, are also covered. Chapter 3 introduces SQL queries, but unlike traditional textbooks, queries and their parts are described around typical data analysis tasks like data exploration, cleaning and transformation.Chapter 4 introduces some basic techniques for data analysis and shows how SQL can be used for some simple analyses without too much complication. Chapter 5 introduces additional SQL constructs that are important in a variety of situations and thus completes the coverage of SQL queries. Lastly, chapter 6 briefly explains how to use SQL from within R and from within Python programs. It focuses on how these languages can interact with a database, and how what has been learned about SQL can be leveraged to make life easier when using R or Python. All chapters contain a lot of examples and exercises on the way, and readers are encouraged to install the two open-source database systems (MySQL and Postgres) that are used throughout the book in order to practice and work on the exercises, because simply reading the book is much less useful than actually usingit. This book is for anyone interested in data science and/or databases. It just demands a bit of computer fluency, butno specific background on databases or data analysis. All concepts are introduced intuitively and with a minimum of specialized jargon. After going through this book, readers should be able to profitably learn more about data mining, machine learning, and database management from more advanced textbooks and courses.

Product Specifications

Brand: Springer
Format: paperback
ASIN: 3030575918
Category: Books > Subjects > Computing & Internet > Databases > Beginners & Introduction
Domain: Amazon UK
Release Date: 10 November 2020
Listed Since: 15 July 2020

Barcode

No barcode data available

Springer SQL for Data Science: Data Cleaning, Wrangling and Analytics with Relational Databases (Data-Centric Systems and Applications)

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

The Beginner's Guide to Data Science

Data Science Concepts and Techniques with Applications

Computing with Data: An Introduction to the Data Industry

SQL for Data Analytics: Perform fast and efficient data analysis with the power of SQL

The Data Science Manual: A Comprehensive Guide to Tools and Techniques for Data Analysis, Modeling, and Deployment with Python

Big Data Science & Analytics: A Hands-On Approach

Simple SQL: Beginner’s Guide To Master SQL And Boost Career (Zero To Hero)

Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving (Chapman & Hall/CRC: The R Series)

Algorithms for Data Science

Data Analytics for Business: AI-ML-PBI-SQL-R

Introduction to Databases: From Biological to Spatio-Temporal (Texts in Computer Science)

Data Science and Predictive Analytics: Biomedical and Health Applications using R (The Springer Series in Applied Machine Learning)

Data Science and Predictive Analytics: Biomedical and Health Applications using R (The Springer Series in Applied Machine Learning)

Data Science in R: A Case Studies Approach to Computational Reasoning and Problem Solving (Chapman & Hall/CRC The R Series)

An Introduction to Data Analysis in R: Hands-on Coding, Data Mining, Visualization and Statistics from Scratch (Use R!)

Practical Business Analytics Using R and Python: Solve Business Problems Using a Data-driven Approach

Introduction to Data Science for Social and Policy Research: Collecting and Organizing Data with R and Python

Big Data Analytics: A Guide to Data Science Practitioners Making the Transition to Big Data (Chapman & Hall/CRC Data Science Series)

Learning Data Science: Data Wrangling, Exploration, Visualization, and Modeling with Python

Data Science and Analytics with Python (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

The Data Science Design Manual (Texts in Computer Science)

The Data Science Design Manual (Texts in Computer Science)

Data Science Using Python and R (Wiley Series on Methods and Applications in Data Mining)

Visual Analytics for Data Scientists