Data Modeling Design category: 403 books
Python Data Science Essentials
A practitioner’s guide covering essential data science principles, tools, and techniques, 3rd Edition
Language: English
Release Date: September 28, 2018
Gain useful insights from your data using popular data science tools
Key Features
A one-stop guide to Python libraries such as pandas and NumPy
Comprehensive coverage of data science operations such as data cleaning and data manipulation
Choose scalable learning algorithms for your data science...
by Magnus Vilhelm Persson, Luiz Felipe Martins
Language: English
Release Date: June 27, 2016
Language: English
Release Date: June 27, 2016
Become an expert at using Python for advanced statistical analysis of data using real-world examples
About This Book
Clean, format, and explore data using graphical and numerical summaries
Leverage the IPython environment to efficiently analyze data with Python
Packed with easy-to-follow examples...
by Allan Visochek
Language: English
Release Date: November 15, 2017
Language: English
Release Date: November 15, 2017
Turn your noisy data into relevant, insight-ready information by leveraging the data wrangling techniques in Python and R
About This Book
This easy-to-follow guide takes you through every step of the data wrangling process in the best possible way
Work with different types of datasets, and...
by Kuntal Ganguly
Language: English
Release Date: September 20, 2017
Language: English
Release Date: September 20, 2017
Over 80 recipes to help you breeze through your data analysis projects using R
About This Book
Analyse your data using the popular R packages like ggplot2 with ready-to-use and customizable recipes
Find meaningful insights from your data and generate dynamic reports
A practical guide to...
by Padma Priya Chitturi
Language: English
Release Date: December 21, 2016
Language: English
Release Date: December 21, 2016
Over insightful 90 recipes to get lightning-fast analytics with Apache Spark
About This Book
Use Apache Spark for data processing with these hands-on recipes
Implement end-to-end, large-scale data analysis better than ever before
Work with powerful libraries such as MLLib, SciPy, NumPy, and Pandas...
by Ashley Ohmann, Matt Floyd
Language: English
Release Date: July 17, 2016
Language: English
Release Date: July 17, 2016
Illustrate your data in a more interactive and interesting way using Tableau Public
About This Book
Learn the basics of creating visualizations with Tableau using this concise reference book
Understand how to join and aggregate your data sources using Tableau
It is a step by step guide that uses...
by Tomcy John, Pankaj Misra
Language: English
Release Date: May 31, 2017
Language: English
Release Date: May 31, 2017
A practical guide to implementing your enterprise data lake using Lambda Architecture as the base
About This Book
Build a full-fledged data lake for your organization with popular big data technologies using the Lambda architecture as the base
Delve into the big data technologies required to...
by Chetan Giridhar
Language: English
Release Date: February 15, 2016
Language: English
Release Date: February 15, 2016
Leverage the power of Python design patterns to solve real-world problems in software architecture and design
About This Book
Understand the structural, creational, and behavioral Python design patterns
Get to know the context and application of design patterns to solve real-world problems in...
by Richard M. Reese, Jennifer L. Reese
Language: English
Release Date: January 11, 2017
Language: English
Release Date: January 11, 2017
Examine the techniques and Java tools supporting the growing field of data science
About This Book
Your entry ticket to the world of data science with the stability and power of Java
Explore, analyse, and visualize your data effectively using easy-to-follow examples
Make your Java applications...
by Luca Massaron, Alberto Boschetti
Language: English
Release Date: October 27, 2016
Language: English
Release Date: October 27, 2016
Become an efficient data science practitioner by understanding Python's key concepts
About This Book
Quickly get familiar with data science using Python 3.5
Save time (and effort) with all the essential tools explained
Create effective data science projects and avoid common pitfalls with the...
Hands-On Data Science with R
Techniques to perform data manipulation and mining to build smart analytical models using R
Language: English
Release Date: November 30, 2018
A hands-on guide for professionals to perform various data science tasks in R
Key Features
Explore the popular R packages for data science
Use R for efficient data mining, text analytics and feature engineering
Become a thorough data science professional with the help of hands-on examples and...
Hands-On Data Science with SQL Server 2017
Perform end-to-end data analysis to gain efficient data insight
Language: English
Release Date: November 29, 2018
Find, explore, and extract big data to transform into actionable insights
Key Features
Perform end-to-end data analysis—from exploration to visualization
Real-world examples, tasks, and interview queries to be a proficient data scientist
Understand how SQL is used for big data processing using...
Data Science for Business
What You Need to Know about Data Mining and Data-Analytic Thinking
Language: English
Release Date: July 27, 2013
Written by renowned data science experts Foster Provost and Tom Fawcett, Data Science for Business introduces the fundamental principles of data science, and walks you through the "data-analytic thinking" necessary for extracting useful knowledge and business value from the data you collect....
Confident Data Skills
Master the Fundamentals of Working with Data and Supercharge Your Career
Language: English
Release Date: January 3, 2018
Data science is the most exciting skill you can master. Data has dramatically changed how our world works. From entertainment to politics, from technology to advertising and from science to the business world, data is integral and its only limit is our imagination. If you want to have a vibrant and...