Bem vindos a Universidade Livre de Dados! Escolha e estude as disciplinas de acordo com o que faz mais sentido para você!
Está página é dedicada a todos entusiastas, estudantes e profissionais da área de dados que esteja interessados em aprender Ciência de Dados, Machine Learning, Inteligência Artificial, Engenharia de Dados.
Aqui temos uma compilação de diversas disciplinas acadêmicas de graduação, mestrado e doutorado de universidades brasileiras que estão disponíveis gratuitamente ao público através do youtube, disciplinas estas que pertencem a cursos de estatística, ciência da computação, engenharia, TI. Um muitíssimo obrigado a estes ilustres professores!
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Se você conhece alguma disciplina que pode agregar valor a esta lista, envie sua recomendação para universidadelivrededados@gmail.com
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Disciplinas em Português
Mathematics (PT-BR)
Calculus I, UNIVESP (Virtual University of the State of São Paulo), Prof. Cláudio Possani
Calculus II, UNIVESP (Virtual University of the State of São Paulo), Prof. Cláudio Possani
Calculus III, UNIVESP (Virtual University of the State of São Paulo), Prof. Cláudio Possani
Linear Álgebra, UFMS (Federal University of Mato Grosso do Sul), Prof. Bruno Amaro
Numerical Calculus, UFSC (Federal University of Santa Catarina), Prof. Alexandre Zabot
Computer Science (PT-BR)
Computer Architecture I, UFBA (Federal University of Bahia), Prof. Ewerton Salvador
Computer Architecture II, UFBA (Federal University of Bahia), Prof. Alisson Brito
Operational Systems, UFG (Federal University of Goiás), Prof. Sérgio Carvalho
Databases, UNICAMP (Federal University of Campinas), Prof. André Santanchè
NoSQL Databases, UNIFEG, Prof. Gustavo Poli
Topics in Big Data, UFAM (Federal University of Amazonas), Prof. Altigran Soares da Silva
Software Engineering, UFV (Federal University of Viçosa), Prof Lucas Vegi
Computer Networks, UFJF (Federal University of Juiz de Fora), Prof. Edelberto Franco Silva
Mobile Robotics, UFPB (Federal University of Paraíba), Prof. Tiago Pereira do Nascimento
Digital Circuits, UFPR (Federal University of Paraná), Prof. Marco A. Zanata Alves
Parallel Programming, UFPR (Federal University of Paraná), Prof. Marco A. Zanata Alves
Information Security, UFU (Federal University of Uberlândia), Prof. Rodrigo Sanches Miani
Python Data Structure, Prof. Renzo Nuccitelli
Statistics (PT-BR)
Probability, ENCE (National School of Statistical Sciences), Prof. Gustavo Ferreira
Introduction to Statistics, ENCE (National School of Statistical Sciences), Prof. Gustavo Ferreira
Bayesian Inference, ENCE (National School of Statistical Sciences), Prof. Gustavo Ferreira
Generalized Linear Models, ENCE (National School of Statistical Sciences), Prof. Gustavo Ferreira
Stochastic Processes, UFPA (Federal University of Pará), Prof. Marcelino Silva
Multivariate Analysis, USP (University of São Paulo), Prof. Cibele Russo
Data Viewing and Exploration, USP (University of São Paulo), Prof. Cibele Russo
Time Series Analysis, Prof. Alexandre Cunha Costa
Statistical Inference, UFABC (Federal University of ABC), Prof. Rodrigo Pavão
Machine Learning (PT-BR)
Computer Vision, UFSC (Federal University of Santa Catarina), Prof. Aldo von Wangenheim
Image Processing, IMPA (Institute of Pure and Applied Mathematics), Prof. Luiz Velho
Pattern Recognition, UFC (Federal University of Ceará), Prof. Carlos Alexandre Fernandes
Applied Intelligent Systems, UTFPR (Federal Technological University of Paraná), Prof. Thiago Naves
Topics in Data Science, IFNMG (Federal Institute of Northern Minas Gerais), Prof. Petronio Silva
Artificial Neural Networks, IFNMG (Federal Institute of Northern Minas Gerais), Prof. Petronio Silva
Computational Linguistics, UFMG (Federal University of Minas Gerais), Prof. Thiago Castro Ferreira
Disciplinas em Inglês (Bônus)
Stanford University
EE104: Introduction to Machine Learning, Stanford University, Prof. Sanjay Lall
CS221 Artificial Intelligence: Principles and Techniques, Stanford University, Prof. Percy Liang
CS229I Machine Learning, Prof. Andrew Ng
CS224N Natural Processing with Deep Learning, Stanford University, Prof. Christopher Manning
CS224U Natural Language Understanding, Stanford University, Prof. Christopher Potts
CS330 Multi-Task and Meta-Learning, Stanford University, Professor Chelsea Finn
CS234 Reinforcement Learning, Prof. Emma Brunskill
CS224W Machine Learning with Graphs, Stanford University, Prof. Jure Leskovec
CS230 Deep Learning, Stanford University, Prof. Andrew Ng
CS329S Machine Learning Systems Design, Stanford University, Seminar Series.
Others Lectures
Cloud Computing and Big Data, University of Iceland, Prof. Ing Morris Riedel
High Performance Computing, University of Iceland, Prof. Ing Morris Riedel
Intro to Machine Learning, University of Wisconsin-Madison, Prof. Sebastian Raschka
Deep Learning for Computer Vision, University of Michigan, Prof. Justin Johnson