Applying Predictive Analytics
Predictive Analytics
| Beginner
- 14 Videos | 1h 25m 57s
- Includes Assessment
- Earns a Badge
This 13-video course explores machine learning predictive analytics, and how its application can drive revenues, reduce costs, and provide a competitive advantage to businesses. Learners will observe the predictive modeling process and how to apply tools and techniques for performing predictive analytics, and how to use historical data to identify trends and patterns to forecast future events. First, you will learn about the predicative modeling process, the statistical concepts for predictive modeling, and regression techniques. This course uses two examples to demonstrate commonly used methods of predictive analytics, by examining decision trees and SVMs (support vector machines). Next, you will learn about survival analysis, market basket analysis, and how to apply data for cluster models. You will learn about random forests in predictive analytics, and you will examine probabilistic graphical models. Learn about classification models, and how to organize data into groups based on predicting the class of the data points. Finally, you will explore some best practices for predictive modeling.
WHAT YOU WILL LEARN
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describe predictive analytics is and where it is applicable
recognize the predictive modeling process, including how to explore and understand data, prepare for and model data, and evaluate and deploy the model
identify methods for random sampling and use hypothesis testing, Chi-square tests, and correlation
recognize common model categories and analytical techniques
use Decision Trees and Support Vector Machines for predictive analytics
use Survival Analysis to predict and analyze customer churn
use Market Basket Analysis to perform predictive analysis -
apply data clustering models to perform predictive analysis
apply random forests for predictive analytics
use Naive Bayes classifiers for predictive analytics
use Logistic Regression for predictive analytics
describe best practices in predictive modeling
apply models to perform predictive analytics
IN THIS COURSE
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1.Course Overview1m 34sUP NEXT
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2.Overview of Predictive Analytics3m 16s
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3.The Predictive Modeling Process4m
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4.Statistical Concepts for Predictive Modeling5m 36s
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5.Regression Techniques for Predictive Analytics5m 55s
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6.Commonly Used Models for Predictive Analytics9m 49s
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7.Survival Analysis for Customer Churn5m 4s
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8.Market Basket Analysis9m 18s
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9.Data Clustering Models6m 56s
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10.Random Forests6m 31s
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11.Probabilistic Graphical Models7m
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12.Classification Models7m 1s
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13.Best Practices for Predictive Modeling5m 32s
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14.Exercise: Applying Predictive Analytics Models8m 24s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
Skillsoft is providing you the opportunity to earn a digital badge upon successful completion of this course, which can be shared on any social network or business platform
Digital badges are yours to keep, forever.
