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Behavioral Data Analysis with R and Python
Author Florent Buisson
Most of the data that companies collect is related to customer behaviors, such as clicks on a website or purchases in a supermarket. But data science algorithms and predictive analytics tools aren’t that specific, so customer data is treated the same way as, for example, ....
Release Date 2021/06 -
Tableau Desktop Pocket Reference
In a crowded field of data visualization and analytics tools, Tableau Desktop has emerged as the clear leader. This is partly due to its ease of use, but once you dive into Tableau's extensive feature set, you'll understand just how powerful and flexible this software can be for your business or o.... -
Expert Data Modeling with Power BI
Manage and work with business data effectively by learning data modeling techniques and leveraging the latest features of Power BIKey FeaturesUnderstand data modeling techniques to get the best out of data using Power BIDefine the relationships between data to extract valuable insightsSolve a wide v.... -
Mastering Python for Bioinformatics
Life scientists today urgently need training in bioinformatics skills. Too many bioinformatics programs are poorly written and barely maintained, usually by students and researchers who've never learned basic programming skills. This practical guide shows postdoc bioinformatics professionals and st.... -
The Big Picture: How to Use Data Visualization to Make Better Decisions—Faster
Not a data expert? Here’s an engaging and entertaining guide to interpreting and drawing insights from any chart, graph, or other data visualization you’ll encounter. You’re a business professional, not a data scientist. How do you make heads or tails of the data visualizations that come across you.... -
Pro Power BI Theme Creation: JSON Stylesheets for Automated Dashboard Formatting
Use JSON theme files to standardize the look of Power BI dashboards and reports. This book shows how you can create theme files using the Power BI Desktop application to define high-level formatting attributes for dashboards as well as how to tailor detailed formatting specifications for indiv.... -
Author Ann Jackson , Luke Stanke
If you want to increase Tableau's value to your organization, this practical book has your back. Authors Ann Jackson and Luke Stanke guide data analysts through recipes for solving real-world analytics problems using Tableau. Starting with the basics and building toward ....
Release Date 2021/05 -
Twenty-First Century Corporate Reporting
How and why do corporations use the internet for reporting to their stakeholders? How and why has corporate reporting extended beyond financial reporting to include environmental, social, and governance (ESG) reporting and even integrated reporting. The major drivers of modern reporting have changed.... -
Applied Modeling Techniques and Data Analysis 1
BIG DATA, ARTIFICIAL INTELLIGENCE AND DATA ANALYSIS SET Coordinated by Jacques JanssenData analysis is a scientific field that continues to grow enormously, most notably over the last few decades, following rapid growth within the tech industry, as well as the wide applicability of computational tec.... -
Applied Modeling Techniques and Data Analysis 2
BIG DATA, ARTIFICIAL INTELLIGENCE AND DATA ANALYSIS SET Coordinated by Jacques JanssenData analysis is a scientific field that continues to grow enormously, most notably over the last few decades, following rapid growth within the tech industry, as well as the wide applicability of computational tec.... -
Mastering Tableau 2021 - Third Edition
Build, design, and improve advanced business intelligence solutions using Tableau's latest features, including Tableau Prep Builder, Tableau Hyper, and Tableau ServerKey FeaturesMaster new features in Tableau 2021 to solve real-world analytics challengesPerform geo-spatial, time series, and self-se.... -
Interactive Dashboards and Data Apps with Plotly and Dash
Learn how to build web-based and mobile-friendly analytic apps and interactive dashboards with PythonKey FeaturesDevelop data apps and dashboards without any knowledge of JavaScriptMap different types of data such as integers, floats, and dates to bar charts, scatter plots, and moreCreate controls a.... -
A Gentle Introduction to Statistics Using SAS Studio in the Cloud
Point and click your way to performing statistics! Many people are intimidated by learning statistics, but A Gentle Introduction to Statistics Using SAS Studio in the Cloud is here to help. Whether you need to perform statistical analysis for a project or, perhaps, for a course in education, psycho.... -
Visualizing Data in R 4: Graphics Using the base, graphics, stats, and ggplot2 Packages
Master the syntax for working with R’s plotting functions in graphics and stats in this easy reference to formatting plots. The approach in Visualizing Data in R 4 toward the application of formatting in ggplot() will follow the structure of the formatting used by the plotting functions in grap.... -
CRAN Recipes: DPLYR, Stringr, Lubridate, and RegEx in R
Want to use the power of R sooner rather than later? Don’t have time to plow through wordy texts and online manuals? Use this book for quick, simple code to get your projects up and running. It includes code and examples applicable to many disciplines. Written in everyday language with a minimu.... -
Author Jack Dougherty , Ilya Ilyankou
Tell your story and show it with data, using free and easy-to-learn tools on the web. This introductory book teaches you how to design interactive charts and customized maps for your website, beginning with simple drag-and-drop tools such as Google Sheets, Datawrapper, an....
Release Date 2021/04 -
Hands-On Data Analysis with Pandas - Second
Get to grips with pandas - a fast, versatile, and high-performance Python library for data discovery, data manipulation, data preparation, and handling data for analytical tasksKey FeaturesPerform efficient data analysis and manipulation tasks using pandas 1.xApply pandas to different real-world dom.... -
The Rise of the Knowledge Graph
Businesses manage data to understand the connections between their customers, products or services, features, markets, and anything else that affects the business. With a knowledge graph, you can represent these connections directly to analyze and understand the compound relationsh.... -
IBM SPSS Essentials, 2nd Edition
Master the fundamentals of SPSS with this newly updated and instructive resourceThe newly and thoroughly revised Second Edition of SPSS Essentials delivers a comprehensive guide for students in the social sciences who wish to learn how to use the Statistical Package for the Social Sciences (SPSS) fo.... -
Data Governance: The Definitive Guide
Author Evren Eryurek , Uri Gilad , Valliappa Lakshmanan
As your company moves data to the cloud, you need to consider a comprehensive approach to data governance, along with well-defined and agreed-upon policies to ensure you meet compliance. Data governance incorporates the ways that people, processes, and technology work tog....
Release Date 2021/03 -
Cleaning Data for Effective Data Science
Think about your data intelligently and ask the right questionsKey FeaturesMaster data cleaning techniques necessary to perform real-world data science and machine learning tasksSpot common problems with dirty data and develop flexible solutions from first principlesTest and refine your newly acquir.... -
Data Science Crash Course for Beginners
This course lays the groundwork for further study into data science with Python for those students with little to no experienceKey FeaturesCrash course in Python programming to build or refresh any gaps in prerequisite knowledgeReal-world projects for hands-on practice in various data science tasksA....