S2-E1: Basics of Data Science

Hello! And welcome to a new season of the Data Science Now newsletter. In this season, we will be discussing the basics of data science in several sessions. This season is a sneak peek of a complete course I'll be launching very soon with Closter. You can watch the video recording here:

Or if you prefer you can hear the podcast version here:

Remember that we will be live every Thursday here at Linkedin, 8 PM CST :).

Here's a short recap of what I covered in the session:

This new season it's all about the basics of data science. I'm going to be talking about all the data science process and workflow. A process invented by my but following great advances from great companies and experienced data scientists. The process includes:

• Business Understanding
• Data Collection
• Data Prep
• Feature Engineering
• Knowledge Discovery
• Modeling and Machine Learning
• Deployment 
• Monitoring 

And it will include concepts and tools from DataOps and Infrastructure. I will also include some sections on Agility and the creation of Data Teams.

As you can see this is going to be both big and awesome! Make sure to subscribe to the newsletter so you don't miss anything!!

Here are some articles that you can read before the next session:

If you want to learn more about this make sure to see or hear the episode, links are above :). 

Always Remember:

There's no easy path, you have to practice, study, and if you want to know where you're going, you need to understand where you're coming from. Then you will rule the world.

Thanks for reading, please subscribe and share this with your network, it would help us a lot :)

With love by the Closter Team:

Gabriel Erives, Héizel Vázquez, Eilén Vázquez, Favio Vázquez.