Data Analytics: Systems Engineering - Cybersecurity - Project Management

✍ Scribed by Christopher Greco

Publisher: Mercury Learning and Information
Year: 2021
Tongue: English
Leaves: 147
Edition: 2021
Category: Library

No coin nor oath required. For personal study only.

✦ Table of Contents

Contents
Introduction to Statistics for Data Analysts
What is Data?
Statistics Review – Measures of the Central Tendency
Probability Primer
Occam’s Razor and Data Analytics
Data Analysis Tools
Effect Size
Analysis Process Methods
Data Analytics Thinking
Where’s the Data?
Data Presentation
Geospatial Data Analytics
Additional Data Analytic Methods
Summary
Case Studies
Recommended Solutions for Case Studies
INDEX

📜 SIMILAR VOLUMES

Data Analytics: Systems Engineering - Cy

📁 Data Analytics: Systems Engineering - Cybersecurity - Project Management

✍ Christopher Greco 📂 Library 📅 2021 🏛 Mercury Learning and Information 🌐 English

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: Systems Engineering - Cy

📁 Data Analytics: Systems Engineering - Cybersecurity - Project Management

✍ Christopher Greco 📂 Library 🏛 Mercury Learning and Information 🌐 English

<span>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 i

Data Analytics for Engineering and Const

📁 Data Analytics for Engineering and Construction Project Risk Management

✍ Ivan Damnjanovic, Kenneth Reinschmidt 📂 Library 📅 2020 🏛 Springer International Publishing 🌐 English

<p><p>This book provides a step-by-step guidance on how to implement analytical methods in project risk management. The text focuses on engineering design and construction projects and as such is suitable for graduate students in engineering, construction, or project management, as well as practitio

Big Data Analytics in Cybersecurity and

📁 Big Data Analytics in Cybersecurity and IT Management

✍ Onur Savas (editor), Julia Deng (editor) 📂 Library 📅 2017 🏛 Auerbach Publications 🌐 English

Big data analytics provide more accurate, timely, and actionable decisions for both cybersecurity and IT management. This book gives a comprehensive coverage of state-of-the-art big data analytics in cybersecurity and IT management. The topics include threat analysis, vulnerability identification, m

Data analytics in project management

📁 Data analytics in project management

✍ Spalek, Seweryn 📂 Library 📅 2019 🌐 English

This book aims to help the reader better understand the importance of data analysis in project management. Moreover, it provides guidance by showing tools, methods, techniques and lessons learned on how to better utilize the data gathered from the projects. First and foremost, insight into the bridg

Data Analytics for Cybersecurity

📁 Data Analytics for Cybersecurity

✍ Vandana P. Janeja 📂 Library 📅 2022 🏛 Cambridge University Press 🌐 English

<span>As the world becomes increasingly connected, it is also more exposed to a myriad of cyber threats. We need to use multiple types of tools and techniques to learn and understand the evolving threat landscape. Data is a common thread linking various types of devices and end users. Analyzing data