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* [[Mining Massive Datasets (coursera)]] | * [[Mining Massive Datasets (coursera)]] | ||

* [[Coding the Matrix (coursera)]] | * [[Coding the Matrix (coursera)]] | ||

− | * [[Calculus Single Variable (coursera)]] | + | * [[Calculus: Single Variable (coursera)]] |

* [[Information Theory (coursera)]] | * [[Information Theory (coursera)]] | ||

* [[Econometrics: Methods and Applications (coursera)]] | * [[Econometrics: Methods and Applications (coursera)]] |

- Advanced Databases (ULB)
- Business Process Management (ULB)
- Data Warehousing (ULB)
- Database Systems Architecture (ULB)
- Decision Engineering (ULB)

- Advanced Data Warehousing (UFRT)
- Data Mining (UFRT)
- XML and Web Technologies (UFRT)
- Information Retrieval (UFRT)
- Business Intelligence Seminar (UFRT)

1st Semester

- Seminar Hot Topics in Information Management IMSEM (TUB)
- Database Implementation (TUB)
- Scalable Data Analytics and Data Mining AIM3 (TUB)
- Python for Machine Learning (TUB)
- Machine Learning 1 (TUB)

2nd Semester

- Computing for Data Analysis (coursera)
- Game Theory (coursera)
- Data Analysis (coursera)
- Algorithms Design and Analysis Part 1 (coursera)
- Functional Programming Principles in Scala (coursera)
- Statistics: Making Sense of Data (coursera)
- Web Intelligence and Big Data (coursera)
- Machine Learning (coursera)
- Introduction to Data Science (coursera)
- Cryptography I (coursera)
- Discrete Optimization (coursera)
- Automata (coursera)
- Mining Massive Datasets (coursera)
- Coding the Matrix (coursera)
- Calculus: Single Variable (coursera)
- Information Theory (coursera)
- Econometrics: Methods and Applications (coursera)

- Introduction to Probability - The Science of Uncertainty (edX)
- Learning From Data (edX)
- Introduction to Linear Models and Matrix Algebra (edX)
- Linear Algebra Foundations to Frontiers (edX)
- The Analytics Edge (edX)