Introduction to Data Analytics

General characterization

Prerequisites

Not applicable

Bibliography

Not applicable

Teaching method

Presentation of the methods followed by real-life examples and exercises. Execution of a project with the application of descriptive and inferential techniques in real data.

Evaluation method

Apresentação dos métodos seguidos de exemplos e exercícios da vida real. Execução de um projecto com a aplicação de técnicas descritivas e inferenciais em dados reais.

Subject matter

1. Introduction


2. Statistical Variables and types of data


3. Data analysis for one variable
   
   
   
   1. Frequency distributions and histograms
   
   
   2. Central tendency indicators
   
   
   3. Dispersion indicators
   
   
   
   


4. Data analysis for two variables
   
   
   
   1. Scatter plots
   
   
   2. Covariance and correlation
   
   
   3. Contingency tables
   
   
   
   


5. Statistical Inference
   
   
   
   1. Sampling
   
   
   2. Confidence intervals and accuracy measures
   
   
   
   


6. Hypotheses testing
   
   
   
   1. Methodology
   
   
   2. Mean, total and proportion
   
   
   3. Differences of means, totals and proportions
   
   
   4. Association tests
   
   
   
   


7. Index numbers


8. Principal Components Analysis


9. Regression Analysis

Programs

Programs where the course is taught: