Tânia Sousa
E-mail: tania.sousa@ucp.pt
Phone: (+351) 215 906 007
5th edition*: starts on April 22nd, 2021
*Applications open until April 15th, 2021
Classes: Thursdays and Fridays, from 5 p.m. to 9 p.m. and Saturdays, from 9:30 a.m. to 1:30 p.m.
Duration: 8 weeks | total of 70 hours
This program will be taught in english
Miguel Godinho Matos, Program Director, details the contents of the program:
1h | Program Opening | |
2h | Overview of Big Data, Data Science and Business Analytics | |
1h | Environment Setup and Configuration |
1h | Basic concepts of Data Mining, Machine Learning, Supervised and Unsupervised Learning | |
3h | Supervised Learning for Predictive Analytics in Business Applications | |
4h | Causality, Correlation and Unobserved Effects | |
4h | Introduction to R Statistical Programming | |
2h | Review of Statistical Analysis with Applications in R | |
2h | Descriptive Statistics and Visualization of Large Datasets | |
4h | Model Fit, Over Fit and Performance Evaluation | |
4h | Advanced Topics | |
8h | Causality in Observational Data | |
3h | Randomized Experiments |
3h | Big Data Tools Ecosystem | |
4h | Big Data Tools Hands-on | |
8h | R for Business Analytics Hands-On |
6h | Case Studies | |
3h | Data Science Team Work | |
4h | Building our First Predictive Model |
5th edition*: starts on April 22nd, 2021
*Applications open until April 15th, 2021
Classes: Thursdays and Fridays, from 5 p.m. to 9 p.m. and Saturdays, from 9:30 a.m. to 1:30 p.m.
Duration: 8 weeks | total of 70 hours
This program will be taught in english