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Pro Power BI Desktop: Self-Service Analytics and Data Visualization for the Power User
Author Adam Aspin
Deliver eye-catching and insightful business intelligence with Microsoft Power BI Desktop. This new edition has been updated to cover all the latest features of Microsoft’s continually evolving visualization product. New in this edition is help with storytelling—adapted t....
Release Date 2020/06 -
Thinking in Pandas: How to Use the Python Data Analysis Library the Right Way
Author Hannah Stepanek
Understand and implement big data analysis solutions in pandas with an emphasis on performance. This book strengthens your intuition for working with pandas, the Python data analysis library, by exploring its underlying implementation and data structures. Thinking in Pand....
Release Date 2020/06 -
SAS Stored Processes: A Practical Guide to Developing Web Applications
Author Philip Mason
Customize the SAS Stored Process web application to create amazing tools for end users. This book shows you how to use stored processes—SAS programs stored on a server and executed as required by requesting applications.Never before have there been so many ways to t....
Release Date 2020/06 -
Practical R 4: Applying R to Data Manipulation, Processing and Integration
Author Jon Westfall
Get started with an accelerated introduction to the R ecosystem, programming language, and tools including R script and RStudio. Utilizing many examples and projects, this book teaches you how to get data into R and how to work with that data using R. Once grounded i....
Release Date 2020/06 -
Author Timothy Masters
Discover a variety of data-mining algorithms that are useful for selecting small sets of important features from among unwieldy masses of candidates, or extracting useful features from measured variables. As a serious data miner you will often be faced with thousands of c....
Release Date 2020/06 -
End-to-End Data Science with SAS
Author James Gearheart
Learn data science concepts with real-world examples in SAS!End-to-End Data Science with SAS: A Hands-On Programming Guide provides clear and practical explanations of the data science environment, machine learning techniques, and the SAS programming knowledge necessary t....
Release Date 2020/06 -
Practical Data Analysis Using Jupyter Notebook
Author Marc Wintjen , Andrew Vlahutin
Understand data analysis concepts to make accurate decisions based on data using Python programming and Jupyter NotebookKey FeaturesFind out how to use Python code to extract insights from data using real-world examples Work with structured data and free text sources to ....
Release Date 2020/06 -
Practical Statistics for Data Scientists, 2nd Edition
Author Peter Gedeck , Andrew Bruce , Peter Bruce
Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this practical guide—now including exam....
Release Date 2020/05 -
Python Automation Cookbook - Second Edition
Author Jaime Buelta
Get a firm grip on the core processes including browser automation, web scraping, Word, Excel, and GUI automation with Python 3.8 and higherKey FeaturesAutomate integral business processes such as report generation, email marketing, and lead generation Explore automated ....
Release Date 2020/05 -
Machine Learning with SAS Viya
Author SAS Institute Inc.
Master machine learning with SAS Viya!Machine learning can feel intimidating for new practitioners. Machine Learning with SAS Viya provides everything you need to know to get started with machine learning in SAS Viya, including decision trees, neural networks, and support....
Release Date 2020/05 -
End-to-end Data Analytics for Product Development
Author Rosa Arboretti Giancristofaro , Mattia De Dominicis
An interactive guide to the statistical tools used to solve problems during product and process innovationEnd to End Data Analytics for Product Development is an accessible guide designed for practitioners in the industrial field. It offers an introduction to data analyti....
Release Date 2020/04 -
Author Sulaymon L. Eshkabilov
Employ the essential and hands-on tools and functions of MATLAB's ordinary differential equation (ODE) and partial differential equation (PDE) packages, which are explained and demonstrated via interactive examples and case studies. This book contains dozens of simulatio....
Release Date 2020/04 -
ML Ops: Operationalizing Data Science
Author David Sweenor , Steven Hillion , Dan Rope
More than half of the analytics and machine learning (ML) models created by organizations today never make it into production. Instead, many of these ML models do nothing more than provide static insights in a slideshow. If they aren’t truly operational, these models can’....
Release Date 2020/04 -
Machine Learning with R, the tidyverse, and mlr
Author Hefin Rhys
Machine Learning with R, the tidyverse, and mlr gets you started in machine learning using R Studio and the awesome mlr machine learning package. This practical guide simplifies theory and avoids needlessly complicated statistics or math. All core ML techniques are clearl....
Release Date 2020/04 -
Interactive Data Visualization with Python - Second Edition
Author Abha Belorkar , Sharath Chandra Guntuku , Shubhangi Ho
Create your own clear and impactful interactive data visualizations with the powerful data visualization libraries of PythonKey FeaturesStudy and use Python interactive libraries, such as Bokeh and Plotly Explore different visualization principles and understand when to ....
Release Date 2020/04 -
Build a Career in Data Science
Author Emily Robinson , Jacqueline Nolis
Build a Career in Data Science is your guide to landing your first data science job and developing into a valued senior employee. By following clear and simple instructions, you’ll learn to craft an amazing resume and ace your interviews. In this demanding, rapidly changi....
Release Date 2020/03 -
Author Curt Hinrichs , Chuck Boiler , Susan Walsh
Grasp the essentials of JMP to generate rapid results.JMP Essentials: An Illustrated Guide for New Users, Third Edition, is designed for new or novice JMP users who need to generate meaningful analysis quickly. The book focuses on the most commonly used platforms and typi....
Release Date 2020/03 -
Hands-On Exploratory Data Analysis with Python
Author Suresh Kumar Mukhiya , Usman Ahmed
Discover techniques to summarize the characteristics of your data using PyPlot, NumPy, SciPy, and pandasKey FeaturesUnderstand the fundamental concepts of exploratory data analysis using Python Find missing values in your data and identify the correlation between differe....
Release Date 2020/03 -
Author Greg Deckler
Solve real-world business problems by learning how to create common industry key performance indicators and other calculations using DAX within Microsoft products such as Power BI, SQL Server, and Excel.Key FeaturesLearn to write sophisticated DAX queries to solve busines....
Release Date 2020/03 -
Author David J. Hand
A practical guide to making good decisions in a world of missing dataIn the era of big data, it is easy to imagine that we have all the information we need to make good decisions. But in fact the data we have are never complete, and may be only the tip of the icebe....
Release Date 2020/02 -
Principles of Managerial Statistics and Data Science
Author Roberto Rivera
Introduces readers to the principles of managerial statistics and data science, with an emphasis on statistical literacy of business students Through a statistical perspective, this book introduces readers to the topic of data science, including Big Data, data....
Release Date 2020/02 -
Practical MATLAB Deep Learning: A Project-Based Approach
Author Stephanie Thomas , Michael Paluszek
Harness the power of MATLAB for deep-learning challenges. This book provides an introduction to deep learning and using MATLAB's deep-learning toolboxes. You’ll see how these toolboxes provide the complete set of functions needed to implement all aspects of deep l....
Release Date 2020/02 -
Beginning Microsoft Power BI: A Practical Guide to Self-Service Data Analytics
Author Dan Clark
Analyze company data quickly and easily using Microsoft’s powerful data tools. Learn to build scalable and robust data models, clean and combine different data sources effectively, and create compelling and professional visuals.Beginning Power BIis a hands-on, activity-ba....
Release Date 2020/02 -
Building a Data Integration Team: Skills, Requirements, and Solutions for Designing Integrations
Author Jarrett Goldfedder
Find the right people with the right skills. This book clarifies best practices for creating high-functioning data integration teams, enabling you to understand the skills and requirements, documents, and solutions for planning, designing, and monitoring both o....
Release Date 2020/02 -
Practical Highcharts with Angular : Your Essential Guide to Creating Real-time Dashboards
Author Sourabh Mishra
Learn to create stunning animated and interactive charts using Highcharts and Angular. Use and build on your existing knowledge of HTML, CSS, and JavaScript to develop impressive dashboards that will work in all modern browsers.You will learn how to use Highcharts, call b....
Release Date 2020/02 -
Author Stefan H. Thomke
Don't fly blind. See how the power of experiments works for you.When it comes to improving customer experiences, trying out new business models, or developing new products, even the most experienced managers often get it wrong. They discover that intuition, experience, a....
Release Date 2020/02 -
Author Michael Harvey
Explore powerful SAS analytics and the Internet of Things!The world that we live in is more connected than ever before. The Internet of Things (IoT) consists of mechanical and electronic devices connected to one another and to software through the internet. Businesses can....
Release Date 2020/02 -
Software Networks, 2nd Edition
Author Guy Pujolle
Software Networks describe new concepts for the Internet's next generation. This architecture is based on virtual networking using Cloud and datacenter facilities. The main problems to be dealt with are the placement of virtual resources for opening a new network on the ....
Release Date 2020/02 -
Author Matt Harrison , Theodore Petrou
Use the power of pandas to solve most complex scientific computing problems with ease. Revised for pandas 1.x.Key FeaturesThis is the first book on pandas 1.x Practical, easy to implement recipes for quick solutions to common problems in data using pandas Master the fu....
Release Date 2020/02