Data Science Tools of the Trade: First Steps

Jump-start your data science career by learning how to install and work with several essential data science tools, including Proxmox, Hadoop, Spark, and Weka.

Introduction

• What data science tools must you know?
• Course organization

1. Introduction to Data Science

• Introduction
• 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 hands-on
• 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

6. Case Study

• Putting it all together
• Hadoop cluster: Installation
• Hadoop cluster: Operation
• Spark, YARN, and Hadoop
• Weka and Spark

Conclusion

• Next steps