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Data Analytics
Systems Engineering - Cybersecurity - Project Management

Rating
Format
Paperback, 148 pages
Published
United States, 1 February 2021

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

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Our Price
HK$530
Ships from UK Estimated delivery date: 17th Apr - 25th Apr from UK
Free Shipping Worldwide

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Product Description

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:

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Product Details
EAN
9781683926481
ISBN
168392648X
Dimensions
22.6 x 17.5 x 1 centimeters (1.60 kg)

Table of Contents

1: Introduction to Statistics for Data Analysts
2: What Is Data?
3: Statistics Review
4: Probability Primer
5: Occam’s Razor and Data Analytics
6: Data Analysis Tools
7: Effect Size
8: Analysis Process Methods
9: Data Analytics Thinking
10: Where’s the Data?
11: Data Presentation
12: Geospatial Data Analytics
13: Additional Data Analytics Methods
14: Summary
15: Case Studies
Appendix: Recommended Solutions for Case Studies
References
Index

About the Author

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.

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