-
Creating Good Data: A Guide to Dataset Structure and Data Representation
Author Harry J. Foxwell
Create good data from the start, rather than fixing it after it is collected. By following the guidelines in this book, you will be able to conduct more effective analyses and produce timely presentations of research data.Data analysts are often presented with d....
Release Date 2020/10 -
Author Ashwin Pajankar
Quickly start programming with Python 3 for data visualization with this step-by-step, detailed guide. This book’s programming-friendly approach using libraries such as leather, NumPy, Matplotlib, and Pandas will serve as a template for business and scientific visualizati....
Release Date 2020/10 -
Microsoft Power BI Quick Start Guide - Second Edition
Author Devin Knight , Mitchell Pearson , Bradley Schacht
An accessible fast paced introduction to all aspects of Power BI for new or aspiring BI professionals, data analysts, and data visualizersKey FeaturesUpdated with the latest features in Power BI including Dataflow, AI insights, visuals and row level securityGet faster and....
Release Date 2020/10 -
Product Analytics: Applied Data Science Techniques for Actionable Consumer Insights
Author Joanne Rodrigues-Craig
Use Product Analytics to Understand and Change Consumer Behavior at ScaleProduct Analytics is a complete, hands-on guide to generating actionable business insights from customer data. Experienced data scientist and enterprise manager Joanne Rodrigues introduces practical ....
Release Date 2020/09 -
Essential Math for Data Science
Author Hadrien Jean
Master the math needed to excel in data science and machine learning. If you’re a data scientist who lacks a math or scientific background or a developer who wants to add data domains to your skillset, this is your book. Author Hadrien Jean provides you with a foun....
Release Date 2020/09 -
SPSS Statistics For Dummies, 4th Edition
The fun and friendly guide to mastering IBM’s Statistical Package for the Social SciencesWritten by an author team with a combined 55 years of experience using SPSS, this updated guide takes the guesswork out of the subject and helps you get the most out of using the leader in predictive analysis.Co.... -
GNU Octave by Example: A Fast and Practical Approach to Learning GNU Octave
Author Ashwin Pajankar , Sharvani Chandu
Get a quick start to learn, understand, and apply GNU Octave using a math- and programming-friendly approach. This book focuses on an end-to-end track to teach mathematical programming, data science, signal processing, and image processing with GNU Octave.GNU Octave by Ex....
Release Date 2020/09 -
The Chief Data Officer Management Handbook: Set Up and Run an Organization’s Data Supply Chain
Author Martin Treder
There is no denying that the 21st century is data driven, with many digital industries relying on careful collection and analysis of mass volumes of information. A Chief Data Officer (CDO) at a company is the leader of this process, making the position an often daunting o....
Release Date 2020/09 -
Author Carl Allchin
For self-service data preparation, Tableau Prep is relatively easy to use—as long as you know how to clean and organize your datasets. Carl Allchin, from The Information Lab in London, gets you up to speed on Tableau Prep through a series of practical lessons that include....
Release Date 2020/09 -
To Fight Pandemics, We Need Better Data
Author Thomas H. Davenport , A. Blanton Godfrey , Thomas C. R
The United States has had many problems coping with the coronavirus. A critical — and underappreciated — problem is bad data: Without good data, planners can’t plan, epidemiologists can’t model, policy makers can’t make policy, and citizens don’t trust what they’re told. ....
Release Date 2020/08 -
Hands-on Time Series Analysis with Python: From Basics to Bleeding Edge Techniques
Author B V Vishwas , ASHISH PATEL
Learn the concepts of time series from traditional to bleeding-edge techniques. This book uses comprehensive examples to clearly illustrate statistical approaches and methods of analyzing time series data and its utilization in the real world. All the code is a....
Release Date 2020/08 -
97 Things About Ethics Everyone in Data Science Should Know
Author Bill Franks
Most of the high-profile cases of real or perceived unethical activity in data science aren’t matters of bad intent. Rather, they occur because the ethics simply aren’t thought through well enough. Being ethical takes constant diligence, and in many situations identifying....
Release Date 2020/08 -
Smart Data Discovery Using SAS Viya
Author Felix Liao
Gain Powerful Insights with SAS Viya! Whether you are an executive, departmental decision maker, or analyst, the need to leverage data and analytical techniques in order make critical business decisions is now crucial to every part of an organization. Smart Data Discover....
Release Date 2020/08 -
Learning Tableau 2020 - Fourth Edition
Author Joshua N. Milligan
Gain a solid foundation to learn Tableau, and develop the skills and abilities required for an advanced mastery of the tool. Whether you're new to Tableau or have been using it years, you will benefit from this book.Key FeaturesExplore the latest Tableau 2020 features an....
Release Date 2020/08 -
The Statistics and Calculus with Python Workshop
Author Peter Farrell , Alvaro Fuentes , Ajinkya Sudhir Kolhe
With examples and activities that help you achieve real results, applying calculus and statistical methods relevant to advanced data science has never been so easyKey FeaturesDiscover how most programmers use the main Python libraries when performing statistics with Pytho....
Release Date 2020/08 -
Author Philip Meitiner , Pradeeka Seneviratne
Learn to use technology to undertake data science and to leverage the Internet of Things (IoT) in your experimentation. Designed to take you on a fascinating journey, this book introduces the core concepts of modern data science. You'll start with simple applications tha....
Release Date 2020/07 -
Advanced R 4 Data Programming and the Cloud: Using PostgreSQL, AWS, and Shiny
Author Matt Wiley , Joshua F. Wiley
Program for data analysis using R and learn practical skills to make your work more efficient. This revised book explores how to automate running code and the creation of reports to share your results, as well as writing functions and packages. It includes key&n....
Release Date 2020/07 -
Practical Synthetic Data Generation
Author Richard Hoptroff , Lucy Mosquera , Khaled El Emam
One challenge with big data and other secondary analytics initiatives is getting access to large and diverse data. Secondary analytics allow insights beyond the questions that data initially collected can answer. This practical book introduces techniques for genera....
Release Date 2020/07 -
Author Ryan Sleeper
Level up with Tableau to build eye-catching, easy-to-interpret data visualizations. In this follow-up guide to 2018’s Practical Tableau, author Ryan Sleeper takes you through a collection of unique tips and tutorials for using this popular software. Beginning to ad....
Release Date 2020/07 -
The Applied Data Science Workshop - Second Edition
Author Alex Galea
Designed with beginners in mind, this workshop helps you make the most of Python libraries and the Jupyter Notebook's functionality to understand how data science can be applied to solve real-world data problems.Key FeaturesGain useful insights into data science and mach....
Release Date 2020/07 -
The Applied SQL Data Analytics Workshop - Second Edition
Author Matt Goldwasser , Upom Malik , Benjamin Johnston
Take a step-by-step approach to learning SQL data analysis in this interactive workshop that uses fun exercises and activities to make learning data analytics for beginners easy and approachable.Key FeaturesExplore ways to use SQL for data analytics and gain key insights ....
Release Date 2020/07 -
The Data Visualization Workshop
Author Mario Dobler , Tim Großmann
Explore a modern approach to visualizing data with Python and transform large real-world datasets into expressive visual graphics using this beginner-friendly workshopKey FeaturesDiscover the essential tools and methods of data visualization Learn to use standard Python ....
Release Date 2020/07 -
Author Sam Morley
Discover easy-to-follow solutions and techniques to help you to implement applied mathematical concepts such as probability, calculus, and equations using Python's numeric and scientific librariesKey FeaturesCompute complex mathematical problems using programming logic w....
Release Date 2020/07 -
Author Gururajan Govindan , Shubhangi Hora , Konstantin Palag
Learn how to analyze data using Python models with the help of real-world use cases and guidance from industry expertsKey FeaturesGet to grips with data analysis by studying use cases from different fieldsDevelop your critical thinking skills by following tried-and-true d....
Release Date 2020/07 -
The Data Wrangling Workshop - Second Edition
Author Brian Lipp , Shubhadeep Roychowdhury , Dr. Tirthajyoti
A beginner's guide to simplifying Extract, Transform, Load (ETL) processes with the help of hands-on tips, tricks, and best practices, in a fun and interactive wayKey FeaturesExplore data wrangling with the help of real-world examples and business use cases Study variou....
Release Date 2020/07 -
Author Linda Foulkes , Warren Sparrow
Discover how you can combine data from various sources to create data models to suit your business requirements with the help of this clear and concise guideKey FeaturesUnderstand how Power Query overcomes the shortcomings of Excel Power Pivot in handling complex data Cr....
Release Date 2020/07 -
Author Neal Fishman , Cole Stryker , Grady Booch
Organizations can make data science a repeatable, predictable tool, which business professionals use to get more value from their dataEnterprise data and AI projects are often scattershot, underbaked, siloed, and not adaptable to predictable business changes. As a result,....
Release Date 2020/06