Key Features

Comprehensive coverage of data analytics concepts, tools, and applications.

Integration of systems engineering, cybersecurity, and project management principles.

Practical case studies and real-world examples for hands-on learning.

Book Description

Data analytics is becoming increasingly important in our daily lives. This book offers a comprehensive view of data analytics skills, starting with a primer on statistics and progressing to the application of these methods. The text includes various formulas and algorithms used in data analytics, which can be applied in any software to achieve desired results. Through numerous demonstrations, it provides clear instruction on how to incorporate data analytics into critical thinking.

The book covers a range of methods and techniques, supplemented with case studies specific to project managers, systems engineers, and cybersecurity professionals. Each profession can practice data analytics relevant to their fields. The main objective is to refresh statistical knowledge necessary for building data analytics models and to foster analytical thinking essential across these professions.

From introducing statistics and data to reviewing central tendency measures and probability, the book moves to more complex topics like effect size, analysis methods, and data presentation. By the end of the course, readers will be well-versed in data analytics, ready to apply these skills effectively in their respective fields, enhancing decision-making and analytical thinking.

What you will learn

Understand key statistical concepts for data analytics.

Differentiate between data types and their applications.

Apply probability methods to data analysis.

Utilize data analysis tools such as Excel and R.

Implement geospatial data analysis techniques.

Develop and test hypotheses using advanced analytics methods.

Who this book is for

Ideal for data analysts, systems engineers, cybersecurity professionals, and project managers, this book requires a basic understanding of statistics and data analysis. It is suitable for those looking to enhance their skills in integrating data analytics with other professional domains.