Miguel Godinho Matos, Program Director, details the contents of the program:
INTRODUCTION
| 1h |
Program Opening
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| 1h |
Environment Setup and Configuration
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| 2h |
The House of Analytics
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| 3h |
Introduction to R Statistical Programming
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BIG DATA FOUNDATIONS
| 3h |
Big Data Tools Eco System
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| 4h |
Big Data Tools Hands-on
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MACHINE LEARNING
| 3h |
Introduction to Unsupervised Learning
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| 4h |
Introduction to Supervised Learning for Regression and for Classification
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| 4h |
Model Evaluation, Fit, Overfit and Complexity Control
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| 4h |
Popular Supervised Machine Learning Models in R
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IN CLASS GROUP WORK
| 3h |
Build Your Own Classification Model
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MACHINE LEARNING
| 4h |
* Lectured in English
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| 4h |
Ensemble Learning (Bagging, Boosting and Stacking)
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| 4h |
The Expected Value Framework
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IN CLASS GROUP WORK
| 4h |
Build Your Own Regression Model and Use the Expected Value Framework
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CAUSAL ANALYTICS
| 4h |
Statistics for Business Analytics
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| 3h |
Causality, Correlation and Unobserved Effects
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| 3h |
Causality in Observational Data
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| 8h |
Randomized Experiments
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GUIDED DATA SCIENCE CASE
| 4h |
Data Science Case of Customer Retention
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IN CLASS GROUP WORK
| 4h |
Evaluate an Experiment and an Intervention in Observational Data
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*Module taught in English
- This program is practical and experimental, involving a real-world case study where the participants have to build a Machine Learning Model to anticipate customers behavior and have to design an experience to achieve the organizational implementation of a campaign.
- In the end, the result of the intervention designed is analyzed to perceive its value and impact on the business.
Faculty:
EXECUTIVE EDUCATION - OPEN PROGRAMS
Mafalda Gato
6th edition*: starts on October 6th, 2022
*Applications open until September 29th, 2022
Classes: Thursdays and Fridays, from 5 p.m. to 9 p.m. and Saturdays, from 9:30 a.m. to 1 p.m.
Duration: 8 weeks | total of 75 hours
This program will be taught in Portuguese.