Join Jungwoo Ryoo for an in-depth discussion in this video Course organization, part of Data Science Tools of the Trade: First Steps.
- [Instructor] When it comes to learning, doing is always better than watching. I had this in mind when I designed this course. You should be able to follow along with my demos for the most part. However, the Hadoop cluster installation piece is quite complicated, so you will not be able to follow here. It takes a lot of time to go through all the details, and I am showing you only the highlights of the installation process. But you'll still have a good feel for how everything gets installed, configured and used.
If you're really interested, you can install your own Hadoop cluster using the tutorials available through the apache.org documentations. One more thing I'd like to mention is that there may be some discrepancies between what I show you here and what you get when you install your Proxmox software. This is because I had to install some extra VMs for preparation and testing purposes before I started my demonstrations.
None of these differences will affect learning. Now, with this in mind, let's get started on this journey.
- 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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