Teo Calvo

Learn Statistics Introduction to basic statistics with concepts of frequency tables, types of variables, summary measures, probability, confidence intervals and hypothesis testing. Throughout the course we use Python and Excel to present theoretical topics in a practical way with real data. All development is also on GitHub so that students can access and analyze the codes created. Duration: 13 hours

A Datalake lab to collect and organize data from different sources. With an open-source stack, we build a data ecosystem with different components. I believe this stack will make it easier for more people to learn about distributed data processing and use it as labs in their studies.

Using the pandas library and its data structures for data analysis and processing with Python. Using real databases, we go through different ways and concepts of data manipulation. At the end of the course, we show how to connect to a relational database (SQL) and execute queries. All project code is on GitHub to make it easier for students to consult. Duration: 11 hours

Beginner's course for people interested in programming and data. All syntax and main data structures of the Python language are presented. We do many exercises with the community and even some more practical challenges to reinforce the concepts. All the code is available on GitHub, making learning easier and sharing information simpler. Duration: 11 hours

I'm online every day on Twitch sharing my knowledge and experience online. We talk about data, AI, technology, open source, and careers in technology.

A first steps Git and GitHub course. I made lives about Git and GitHub on Twitch, and the record was safe on YouTube to impact more people. The idea is to bring the necessary fundamentals to newbies on technology. At the end of this material, the student will be capable of creating a new repository and collaborating on open-source repositories across the internet, making forks and creating a Pull Requests. Duration: ~5hrs

A trail teaching how to use the open-source MLFlow framework to manage the analytical cycle of Machine Learning and AI models.

It is an open source website that aggregates all of my content created on the internet. The main feature is an individual development plan (roadmap). This way, people can fill in their skills and choose the career they would like to pursue. With this, the system suggests which skills they still need to develop and which content created by me they can access. Remember that all of the courses on the platform are free. Only the projects are exclusive to YouTube members.