Data Science Tools of the Trade: First Steps

Description

In this course, you will :

• helps you become acquainted with some of the most well-known data science tools in cloud computing, distributed file storage, distributed processing, and machine learning.
• covers Proxmox, Hadoop, Spark, and Weka, explaining how to install and use each tool in your data science workflow.
• explains how Hadoop, Spark, and Weka can work together to achieve the best results

Syllabus :

1. Introduction to Data Science

• Data science
• Fundamental skills
• Tools of trade
• Enabling technologies

 

2. Cloud Computing

• Cloud computing and virtualization
• Cloud fundamentals
• Types of cloud
• Solution providers
• Private cloud hands-on with Proxmox
• Proxmox: Bootable installation disk
• Proxmox: Installation
• Proxmox: Managing virtual machines
• Proxmox: Creating and configuring virtual machines

 

3. Distributed File Systems

• Distributed file systems
• Fundamentals
• Distributed systems and distributed processing
• Hadoop: Preparation
• Hadoop: Installation
• Hadoop: MapReduce hands-on

 

4. Distributed Processing

• Distributed processing with MapReduce
• Distributed processing with Spark
• Spark architecture and features
• Spark: Installation
• Spark: Spark shell
• Spark: pyspark
• Spark: Application

 

5. Machine Learning

• Machine learning
• Fundamentals
• Types of machine learning
• Weka: Installation
• Weka: GUI
• Weka: Training vs. testing
• Weka: Clustering

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