INTRODUCTION TO PREDICTIVE ANALYTICS
Course 2303
2 Days
$1,100
Learn how to use statistical methods and machine learning techniques to forecast future trends. This course covers essential concepts, from data preparation and model building to evaluating and refining predictions.
Who Should Take This Course?
Ideal for data analysts, business professionals, and decision-makers who want to leverage data to predict future outcomes. It’s also perfect for individuals with a foundational understanding of statistics who are looking to advance their skills in predictive modeling.
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
- Understand the fundamental concepts and techniques of predictive analytics.
- Prepare and preprocess data for predictive modeling.
- Evaluate the performance of predictive models using appropriate metrics.
- Interpret and communicate the results of predictive models effectively.
- Use predictive analytics tools and software for practical applications.
- Apply predictive analytics to real-world scenarios to make data-driven decisions.
Course Topics
Introduction to Predictive Analytics
- Overview of predictive analytics and its applications
- Differences between descriptive, predictive, and prescriptive analytics
Fundamentals of Predictive Modeling
- Introduction to regression analysis
- Linear and logistic regression
- Model selection and feature engineering
Classification Techniques
- Decision trees and random forests
- K-nearest neighbors (KNN)
Model Evaluation and Validation
- Performance metrics for regression and classification models
- Cross-validation and overfitting
- ROC curves and confusion matrices
Time Series Forecasting
- Introduction to time series data
- Moving averages and exponential smoothing
- ARIMA models
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 22 - August 23, 2024
9:00 AM – 5:00 PM EST
Intro to Predictive Analysis
Virtual, EST
$1,100
Class ID: 2303
September 23 - September 24, 2024
9:00 AM – 5:00 PM EST
Intro to Predictive Analysis
Virtual, EST
$1,100
Class ID: 2303
October 28 - October 29, 2024
9:00 AM – 5:00 PM EST
Intro to Predictive Analysis
Virtual, EST
$1,100
Class ID: 2303
November 11 - November 12, 2024
9:00 AM – 5:00 PM EST
Intro to Predictive Analysis
Virtual, EST
$1,100
Class ID: 2303
January 20 - January 21, 2025
9:00 AM – 5:00 PM EST
Intro to Predictive Analysis
Virtual, EST
$1,100
Class ID: 2303
February 17 - February 18, 2025
9:00 AM – 5:00 PM EST
Intro to Predictive Analysis
Virtual, EST
$1,100
Class ID: 2303
March 24 - March 25, 2025
9:00 AM – 5:00 PM EST
Intro to Predictive Analysis
Virtual, EST
$1,100
Class ID: 2303