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.
- Staying competitive as data science professionals and IT staff who support them can be difficult. You need to deal with so many newly emerging technologies, especially in the area of infrastructure tools that are indispensable to data science. These tools power cloud computing, distributed file storage, distributed processing, and machine learning. In this course, I dive into some of the most well known data science tools of the trade.
For example, I'll show you Proxmox, Hadoop, Spark, and Weka. First, I'll review the concepts behind them. Then, we'll get our hands dirty by actually installing and setting up these tools to give you a concrete feel for what's involved to actually get them up and running. So join me, Jungwoo, in my course about the most commonly used tools in data science.
- Enabling technologies in data science
- Cloud computing and virtualization
- Installing and working with Proxmox, Hadoop, Spark, and Weka
- Managing virtual machines on Proxmox
- Distributed processing with Spark
- Fundamental applications of machine learning
- Distributed systems and distributed processing
- How Hadoop, Spark, and Weka can work together
Skill Level Beginner
Course organization1m 17s
1. Introduction to Data Science
2. Cloud Computing
3. Distributed File Systems
4. Distributed Processing
5. Machine Learning
6. Case Study
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