Data analytics is creeping into the lexicon of our daily language. This book gives the reader a perspective as to the overall data analytics skill set, startingwith a primer on statistics, and works toward the application of those methods.There are a variety of formulas and algorithms used in the data analyticsprocess. These formulas can be plugged into whatever software application thereader uses to obtain the answer they need. There are several demonstrations ofthis process to provide straightforward instruction as to how to bring data analytics skills to your critical thinking. This bookpresents a variety of methods and techniques, as well as case studies, toenrich the knowledge of data analytics for project managers, systems engineers,and cybersecurity professionals. It separates the case studies so that eachprofession can practice some straightforward data analytics specific to their fields. The main purpose of this text is to refresh the statistical knowledgenecessary to build models for data analytics. Along with that, this bookencompasses the analytics thinking that is essential to all three professions. FEATURES: Provides straightforward instruction on data analytics methods Includes methods, techniques, and case studies for project managers, systems engineers, and cybersecurity professionals Refreshes the statistical knowledgeneeded to bring data analytics into your skillset and decision-making Focuses on getting readers up to speed quickly and efficiently to be able to see the impact of data analytics and analytical thinking

In the world of data science there are myriad tools available to analyze data. This book describes some of the popular software application tools along with the processes for downloading and using them in the most optimum fashion. The content includes data analysis using Microsoft Excel, KNIME, R, and OpenOffice (Spreadsheet). Each of these tools will be used to apply statistical concepts including confidence intervals, normal distribution, T-Tests, linear regression, histograms, and geographic analysis using real data from Federal Government sources. Features: Analyzes data using popular applications such as Excel, R, KNIME, and OpenOffice Covers statistical concepts including confidence intervals, normal distribution, T-Tests, linear regression,histograms, and geographic analysis Capstone exercises analyze data using the different software packages