Data Analytics and Linux Operating System

Data Analytics and Linux Operating System. Beginners Guide to Learn Data Analytics, Predictive Analytics and Data Science with Linux Operating System (Hacking Freedom Data Driven)

This is a 2 book bundle related to Data

Analytics and beginning your quest to understand the Linux Command Line Operating System

Two manuscripts for the price of one!

What’s included in this 2 book bundle manuscript:

Data Analytics: Practical Data Analysis and Statistical Guide to Transform and Evolve Any Business, Leveraging the power of Data Analytics, Data Science, and Predictive Analytics for Beginners

Hacking University: Senior Edition Optimal beginner’s guide to precisely learn and conquer the Linux operating system. A complete step-by-step guide in how the Linux command line works

In Data Analytics, you will learn:

• Why your business should be using data analytics
• Issues with using big data
• Effective data management
• Examples of data management in the real-world
• The different kinds of data analytics and their definitions
• How data management, data mining, data integration and data warehousing work together
• A step-by-step guide for conducting data analysis for your business
• An organizational guide to data analytics
• Tools for data visualization (with hyperlinks)

In Hacking University Senior Edition, you will learn:

• What is Linux
• History and Benefits of Linux
• Ubuntu Basics and Installing Linux
• Managing Software and Hardware
• The Command Line Terminal
• Useful Applications
• Security Protocols
• Scripting, I/O Redirection, Managing Directories
• And a bunch more!

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Table of Contents

Chapter 1: The Importance of Data Analytics and Why Your Business Should Use it
Chapter 2 How to Handle Big Data
Chapter 3 The Benefits and Challenges of Data Management
Chapter 4 Real World Examples of Data Management
Chapter 5 The Different Types of Data Analytics
Chapter 6 They all Work Together: Data Management, Data Mining, Data Integration and Data Warehousing
Chapter 7 Conducting Data Analysis for Your Business
Chapter 8 An Organizational Approach to Data Analytics
Chapter 9 Data Visualization
Chapter 10 Using Social Media
Chapter 11 How Data Analytics Can Sustain any Business