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Statistics for Big Data For Dummies

The fast and easy way to make sense of statistics for big data
Does the subject of data analysis make you dizzy? You’ve come to the right place! Statistics For Big Data For Dummies breaks this often-overwhelming subject down into easily digestible parts, offering new and aspiring data analysts the foundation they need to be successful in the field. Inside, you’ll find an easy-to-follow introduction to exploratory data analysis, the lowdown on collecting, cleaning, and organizing data, everything you need to know about interpreting data using common software and programming languages, plain-English explanations of how to make sense of data in the real world, and much more.

Data has never been easier to come by, and the tools students and professionals need to enter the world of big data are based on applied statistics. While the word “statistics” alone can evoke feelings of anxiety in even the most confident student or professional, it doesn’t have to. Written in the familiar and friendly tone that has defined the For Dummies brand for more than twenty years, Statistics For Big Data For Dummies takes the intimidation out of the subject, offering clear explanations and tons of step-by-step instruction to help you make sense of data mining―without losing your cool.

Helps you to identify valid, useful, and understandable patterns in data
Provides guidance on extracting previously unknown information from large databases
Shows you how to discover patterns available in big data
Gives you access to the latest tools and techniques for working in big data

If you’re a student enrolled in a related Applied Statistics course or a professional looking to expand your skillset, Statistics For Big Data For Dummies gives you access to everything you need to succeed.

R For Dummies

presentations of your data
Get statistical ? find out how to do simple statistical analysis, summarize your variables, and conduct classic statistical tests, such as t–tests
Expand and customize R ? get the lowdown on how to find, install, and make the most of add–on packages created by the global R community for a wide variety of purposes
Open the book and find:
Help downloading, installing, and configuring R
Tips for getting data in and out of R
Ways to use data frames and lists to organize data
How to manipulate and process data
Advice on fitting regression models and ANOVA
Helpful hints for working with graphics
How to code in R
What R mailing lists and forums can do for you

Artificial Intelligence For Dummies

Step into the future with AI

The term “Artificial Intelligence” has been around since the 1950s, but a lot has changed since then. Today, AI is referenced in the news, books, movies, and TV shows, and the exact definition is often misinterpreted. Artificial Intelligence For Dummies provides a clear introduction to AI and how it’s being used today.

Inside, you’ll get a clear overview of the technology, the common misconceptions surrounding it, and a fascinating look at its applications in everything from self-driving cars and drones to its contributions in the medical field.

Learn about what AI has contributed to society
Explore uses for AI in computer applications
Discover the limits of what AI can do
Find out about the history of AI

The world of AI is fascinating—and this hands-on guide makes it more accessible than ever!

Secondary Analysis Of The Timss Data

Researchers who participate in IEA studies have a unique opportunity to work collaboratively with their counterparts from many different countries and disciplinary backgrounds over a period of several years on questions of shared academic interest. Once the data for a given study have been collected and the first round of international reports published, however, opportunities for that kind of collaboration tend to be much less frequent. A major strength of IEA studies compared to other large-scale, international studies is that they are classroom based, thereby making it possible for researchers and policy makers to investigate linkages between students’ achievement and a wide range of variables. Those variables could be related to instructional practices, to students’ and teachers’ background and attitudes, to school organizational patterns, or to opportunity to learn, to name a few. The research questions that TIMSS was designed to address make it clear that these kinds of relational, multi-variate analyses were among the major goals of the project. The international reports of the TIMSS–95 results that were published by the International Study Center at Boston College between 1996 and 1999 were intended to provide comprehensive coverage of the basic findings of the study. They were not intended to provide in-depth analyses of research and policy issues; instead, their main purpose was to make the basic findings of the study widely available in a timely manner. This they certainly did.

Tableau for Dummies

Make your data work for you! Tableau For Dummies brings order to the chaotic world of data. Understanding your data and organizing it into formats and visualizations that make sense to you are crucial to making a real impact on your business with the information that’s already at your fingertips.

This easy-to-use reference explores the user interface, and guides you through the process of connecting your data sources to the software. Additionally, this approachable, yet comprehensive text shows you how to use graphs, charts, and other images to bring visual interest to your data, how to create dashboards from multiple data sources, and how to export the visualizations that you have developed into multiple formats that translate into positive change for your business. The mission of Tableau Software is to grant you access to data that, when put into action, will help you build your company.

Learning to use the data available to you helps you make informed, grounded business decisions that can spell success for your company.

* Navigate the user interface to efficiently access the features you need
* Connect to various spreadsheets, databases, and other data sources to create a multi-dimensional snapshot of your business
* Develop visualizations with easy to use drag and drop features
* Start building your data with templates and sample workbooks to spark your creativity and help you organize your information

Tableau For Dummies is a step-by-step resource that helps you make sense of the data landscape and put your data to work in support of your business.