ADVANCED PREDICTIVE ANALYTICS
Course 2308
2 Days
$1,300
This program delves into cutting-edge techniques like time series forecasting, neural networks, and ensemble methods. Gain the expertise to build robust predictive models, enhance your analytical skills, and drive strategic decisions.
Who Should Take This Course?
Ideal for data scientists, analysts, business professionals, and anyone with a foundational understanding of predictive analytics looking to advance their skills.
Course Format:
Lectures, facilitator presentations, guided discussions, practical hands-on exercises (both individual and large-group), collaborative discussions, and action planning.
Payment Information: We accept credit card payments. To register using a purchase order (without a surcharge), please send the purchase order to customerservice@hazadvisors.com
Learning Objectives
- Apply advanced predictive modeling techniques to various types of data.
- Develop and implement time series forecasting models.
- Utilize neural networks for complex predictive tasks.
- Understand and apply ensemble methods to improve model performance.
- Evaluate and validate predictive models using appropriate metrics.
- Interpret the results of predictive models to inform strategic decision-making.
- Integrate predictive analytics into business processes for enhanced outcomes.
Course Topics
Introduction to Advanced Predictive Analytics
- Overview of advanced predictive analytics concepts
- Key concepts and terminology
Time Series Forecasting
- Understanding time series data
- Techniques: ARIMA, exponential smoothing, seasonal decomposition
Neural Networks for Prediction
- Basics of neural networks
- Building and training neural network models for predictive tasks
Ensemble Methods
- Introduction to ensemble learning
- Techniques: Bagging, boosting, random forests
Advanced Regression Techniques
- Polynomial regression
- Ridge and Lasso regression
Evaluating and Validating Predictive Models
- Model evaluation metrics (RMSE, MAE, R-squared)
- Cross-validation and overfitting prevention
Dealing with Imbalanced Data
- Strategies for handling class imbalance
- Techniques: SMOTE, undersampling, oversampling
Model Interpretability and Explainability
- Understanding and communicating model predictions
- Tools and techniques for model interpretability (SHAP, LIME)
Prerequisites
To make the most out of this course, you should have:
Class Schedule
We accept credit card payments. To register using a purchase order (without a surcharge), please send the purchase order to customerservice@hazadvisors.com
**Rates below are for each participant.
August 26 - August 27, 2024
9:00 AM – 5:00 PM EST
Advanced Predictive Analytics Virtual, EST
$1,300
Class ID: 2308
September 16 - September 17, 2024
9:00 AM – 5:00 PM EST
Advanced Predictive Analytics Virtual, EST
$1,300
Class ID: 2308
October 21 - October 22, 2024
9:00 AM – 5:00 PM EST
Advanced Predictive Analytics Virtual, EST
$1,300
Class ID: 2308
November 19 - November 20, 2024
9:00 AM – 5:00 PM EST
Advanced Predictive Analytics Virtual, EST
$1,300
Class ID: 2308
January 27 - January 28, 2025
9:00 AM – 5:00 PM EST
Advanced Predictive Analytics Virtual, EST
$1,300
Class ID: 2308
February 10 - February 11, 2025
9:00 AM – 5:00 PM EST
Advanced Predictive Analytics Virtual, EST
$1,300
Class ID: 2308
March 17 - March 18, 2025
9:00 AM – 5:00 PM EST
Advanced Predictive Analytics Virtual, EST
$1,300
Class ID: 2308