programming
Statistics and Machine Learning Course
- Requirements: Basic knowledge of calculus, linear algebra, and probability is required.
- Modality: Online classes with practical sessions and room for doubts.
- Duration: 16 hours.
- Price: €400.
- Material: We provide all the material to download and reuse (presentations, codes and data).
- Software: R or Python.
- Valid certificate of completion.
Module 1 : Introduction to Descriptive Statistics
- Types of data
- Frequency tables
- Descriptive statistical measures: centrality, variation, shape
- Relation between variables: covariance, correlation
- Statistical graphs: boxplot, bars, histograms, scatter
2hr. 30min.
Module 2 : Statistical Inference
- Confidence intervals
- Hypothesis tests
3hr. 30min.
Module 3 : Machine Learning and Data Analysis
- Principal Components
- Factor Analysis
- Clustering
- Classification
- Linear Regression and Regularization
- Robust models against outliers
8hr.
Module 4 : Data ethics
- Biases in data and models
- Ethics
- Data privacy
2hr.
PhD. Elisa Cabana
Instructor
Elisa Cabana is a PhD in Mathematical Engineering, specialized in Statistics. She is also a researcher, data scientist and professor of data analysis at CUNEF University.
Available material
Presentations, codes, data, and all the material available for reuse.
Practical courses
Classes focused on the practical aspect, with space to solve doubts.
All ready to go?
Talk to us without obligation to clarify all your doubts.