I have been teaching courses in undergraduate and graduate courses since 2016.
As a side project, I have been producing content (crash courses and tutorials) on Machine Learning and Computing for my YouTube channel, XaveCoding.
The channel is dedicated to Portuguese speakers and already has 300+ videos, 5.5k+ subscribers, and 320k+ views.
Python Essencial para Data Science
Essential Python for Data Science data science
Course #1 in the Data Science training.
Series of video lessons on the essentials of the python programming language for Data Science.
Manipulação de Dados em Python com Pandas (Pandas Essencial)
Data Manipulation in Python with Pandas (Essential Pandas) data science
Course #2 in the Data Science training.
Course on data manipulation in Python using the Pandas library. The course covers basic library concepts and commands, data types, loading and saving, filtering, mapping functions, and joining tables.
Introdução ao Spring Data
Introduction to Spring Data web development
Course #1 about modern web development with Java and Spring.
This is an introductory course about the Spring Data, a Java framework inside the Spring ecosystem that provides a consistent data access layer for various data stores, right from relational to NoSQL databases.
Introdução ao Spring MVC
Introduction to Spring MVC web development
Course #2 about modern web development with Java and Spring.
This is an introductory course about the Spring MVC, a Java framework inside the Spring ecosystem used to build web applications. It follows the Model-View-Controller design pattern. It implements all the basic features of a core spring framework like Inversion of Control, Dependency Injection.
Mergulhando em Algoritmos
Diving into Algorithms computing
Journey on Algorithms.
In this series, we'll look at topics like Time Complexity, Sorting Algorithms, Search Algorithms, Programming Paradigms, and much more.
Dominando Estruturas de Dados 1
Mastering Data Structures #1 computing
Video lessons that covers several topics about Data Structures including:
- Pointers, Functions, and Structs
- Static and Dynamic Allocation
- Vectors and Matrices
- Abstract Data Types
- Compilation
- Linked Lists and their Generalizations
- Stacks and Queues