Hello Students

Learn the best coding practices in productive environments

-How to get to the next level with my code?
-How to create code that works for production environments?
-What practices are used in the industry that I could implement in my own projects?

What we offer?


We have designed a path that will allow you to learn the fundamentals of each area necessary to take your code to the next level.


Although the content is focused (for now) on data engineering projects, you can perfectly apply it to any other type of project, even when it is not data.


Content

Explore our course content. Includes everything from fundamentals to advanced topics.

1.- Introduction

This module talks about the course, scope, installation of necessary programs.

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2.- Fundamentals of Python

This module talks about the fundamentals of Python for data topics, especially for Data Engineering.

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3.- Fundamentals of Software Development

This module talks about the fundamentals of software development for data issues, software tools, good practices, among other things.

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4.- Fundamentals of Continuous Integration

This module talks about the fundamentals of continuous integration, such as unit testing and linting and formatting, essential for any data pipeline.

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5.- Fundamentals of Cloud Computing

This module talks about cloud fundamentals, especially with GCP. There are four tools that will be used to set up any basic and complex data pipeline.

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6.- Fundamentals of Data Engineering (Batch)

This module talks about the fundamentals of Data Engineering, focused on batch processing. The goal is to have the necessary knowledge to build a solid and scalable pipeline in GCP.

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7.- Fundamentals of Data Engineering (Streaming)

This module talks about the fundamentals of Data Engineering, focused on streaming processing.

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8.- Fundamentals of Continuous Deployment

This module talks about the fundamentals of continuous deployment using containerization and infrastructure as code. The cloud that will be used to deploy will be GCP, but it can be applied to any other cloud.

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9.- Fundamentals of Analytics Engineering

This module talks about the fundamentals of analytics engineering, especially necessary for the next level, which is having a modern data stack in the cloud.

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