Professional Certificate in Data-driven Predictive Modeling Interpretation
-- viendo ahoraThe Professional Certificate in Data-driven Predictive Modeling Interpretation is a vital course designed to equip learners with the skills to create and interpret predictive models. In today's data-driven world, the ability to leverage predictive modeling for decision-making is increasingly important.
5.834+
Students enrolled
GBP £ 140
GBP £ 202
Save 44% with our special offer
Acerca de este curso
HundredPercentOnline
LearnFromAnywhere
ShareableCertificate
AddToLinkedIn
TwoMonthsToComplete
AtTwoThreeHoursAWeek
StartAnytime
Sin perรญodo de espera
Detalles del Curso
โข Introduction to Data-driven Predictive Modeling: Overview of predictive modeling, its applications, and benefits. Understanding the data mining process and the role of predictive modeling in business decision making.
โข Data Preparation for Predictive Modeling: Data preprocessing techniques, data cleaning, and data transformation. Feature selection and feature engineering.
โข Regression Analysis: Simple and multiple linear regression. Regression diagnostics, model validation, and assessment of model performance.
โข Logistic Regression: Binary and multinomial logistic regression. Odds ratios and logit functions. Model validation and assessment of model performance.
โข Decision Trees and Random Forests: Decision tree construction, overfitting, and pruning. Ensemble methods and random forests.
โข Support Vector Machines (SVM) and Kernel Methods: SVM formulation and optimization. Kernel functions and kernel methods.
โข Unsupervised Learning and Dimensionality Reduction: Clustering algorithms, hierarchical clustering, k-means clustering. Principal component analysis (PCA) and singular value decomposition (SVD).
โข Model Evaluation and Selection: Model validation techniques, cross-validation, and bootstrapping. Model selection criteria and model comparison.
โข Interpretation of Predictive Models: Understanding model coefficients, feature importance, and marginal effects. Model transparency and explainability.
โข Ethics and Bias in Predictive Modeling: Ethical considerations in predictive modeling, understanding and mitigating biases in models.
Trayectoria Profesional
Requisitos de Entrada
- Comprensiรณn bรกsica de la materia
- Competencia en idioma inglรฉs
- Acceso a computadora e internet
- Habilidades bรกsicas de computadora
- Dedicaciรณn para completar el curso
No se requieren calificaciones formales previas. El curso estรก diseรฑado para la accesibilidad.
Estado del Curso
Este curso proporciona conocimientos y habilidades prรกcticas para el desarrollo profesional. Es:
- No acreditado por un organismo reconocido
- No regulado por una instituciรณn autorizada
- Complementario a las calificaciones formales
Recibirรกs un certificado de finalizaciรณn al completar exitosamente el curso.
Por quรฉ la gente nos elige para su carrera
Cargando reseรฑas...
Preguntas Frecuentes
Tarifa del curso
- 3-4 horas por semana
- Entrega temprana del certificado
- Inscripciรณn abierta - comienza cuando quieras
- 2-3 horas por semana
- Entrega regular del certificado
- Inscripciรณn abierta - comienza cuando quieras
- Acceso completo al curso
- Certificado digital
- Materiales del curso
Obtener informaciรณn del curso
Obtener un certificado de carrera