资源说明：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! Get your copy today! Scroll up and hit the buy button to download now! 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

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