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Data Analytics
Systems Engineering - Cybersecurity - Project Management
Language:
English
Published/Copyright:
2021
About this book
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, starting with a primer on statistics, and works toward the application of those methods. There are a variety of formulas and algorithms used in the data analytics process. These formulas can be plugged into whatever software application the reader uses to obtain the answer they need. There are several demonstrations of this process to provide straightforward instruction as to how to bring data analytics skills to your critical thinking. This book presents a variety of methods and techniques, as well as case studies, to enrich the knowledge of data analytics for project managers, systems engineers, and cybersecurity professionals. It separates the case studies so that each profession can practice some straightforward data analytics specific to their fields. The main purpose of this text is to refresh the statistical knowledge necessary to build models for data analytics. Along with that, this book encompasses 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 knowledge needed 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
Author / Editor information
Greco Christopher :
Christopher Greco is a COMPTIA Certified Technical Trainer and Microsoft Certified Systems Engineer with numerous years of industry experience in the areas of data analysis, cybersecurity, and IT instruction and training.
Topics
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Frontmatter
i -
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Contents
v -
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Preface
xi -
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Acknowledgments
xiii -
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1 Introduction to Statistics for Data Analysts
1 -
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2 What is Data ?
5 -
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3 Statistics Review – Measures of the Central Tendency
11 -
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4 Probability Primer
33 -
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5 Occam’s Razor and Data Analytics
39 -
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6 Data Analysis Tools
43 -
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7 Effect Size
49 -
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8 Analysis Process Methods
53 -
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9 Data Analytics Thinking
63 -
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10 Where’s the Data ?
77 -
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11 Data Presentation
89 -
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12 Geospatial Data Analytics
95 -
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13 Additional Data Analytics Methods
103 -
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14 Summary
111 -
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15 Case Studies
113 -
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APPENDIX. RECOMMENDED SOLUTIONS FOR CASE STUDIES
123 -
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References
127 -
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Index
129
Publishing information
Pages and Images/Illustrations in book
eBook published on:
January 28, 2021
eBook ISBN:
9781683926474
Paperback published on:
February 22, 2021
Paperback ISBN:
9781683926481
Pages and Images/Illustrations in book
Main content:
148
Keywords for this book
computer science; business; programming; data analysis; analytics; data science; cybersecurity; statistics
Safety & product resources
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Walter de Gruyter GmbH
Genthiner Straße 13
10785 Berlin - productsafety@degruyterbrill.com