Predictive Analytics
- Offered byThe knowledge academy
Predictive Analytics at The knowledge academy Overview
Duration | 2 days |
Start from | Start Now |
Total fee | ₹39,995 |
Mode of learning | Online |
Official Website | Go to Website  |
Credential | Certificate |
- Overview
- Highlights
- Course Details
- Curriculum
- Admission Process
Predictive Analytics at The knowledge academy Highlights
- Earn a certificate after completion of course
- Engage in activities, and communicate with your trainer and peers
Predictive Analytics at The knowledge academy Course details
Data Scientists
Business Analysts
Marketing Analysts
Financial Analysts
Business Intelligence Professionals
Risk Managers
CRM Professionals
To master the Predictive Analytics process, including data cleaning and feature creation
To gain proficiency in uncovering valuable patterns and associations using itemsets and association rules
To explore various predictive modeling techniques, such as logistic regression and Naïve Bayes
To develop the skills to apply predictive models effectively in real-world scenarios
To enhance decision-making by leveraging data-driven predictions and insights
To empower organizations to become forward-looking and proactive using Predictive Analytics
Predictive analytics is a powerful tool in the data science domain that plays a crucial role in foreseeing unknown future events that organizations must navigate
Utilizing techniques like data mining, modeling, statistics, artificial intelligence, and machine learning, Predictive Analytics Course in India empowers organizations to identify forthcoming risks and opportunities by deciphering patterns within transactional and historical data
The 2-day course in India provides delegates with knowledge on essential aspects like data cleaning, feature creation, item sets, and association rules
Predictive Analytics at The knowledge academy Curriculum
Module 1: Introduction to Predictive Analytics
What is Predictive Analytics
How Predictive Analytics Works
Business Intelligence
Business Intelligence Lifecycle
Predictive Analytics Vs Business Intelligence
Predictive Analytics Challenges
Module 2: Setting Up the Problem
Predictive Analytics Processing Steps
Target Variable
Success Measures for Predictive Models
Data for Predictive Modeling
Module 3: Understanding the Data
Single and Multiple Variables
Data Visualization
Histograms
Module 4: Data Preparation
Data Cleaning
Feature Creation
Module 5: Itemsets and Association Rules
Association Rules
Parameter Settings
Data Organization Techniques
Deploying Association Rules
Making Classification Rules from Association Rules
Module 6: Descriptive Modeling
Introduction to Descriptive Modeling
Principal Component Analysis
Clustering Algorithms
Module 7: Interpreting Descriptive Models
Introduction to Descriptive Analytics
How does Descriptive Analytics Work
Advantages of Descriptive Analytics
Module 8: Predictive Modeling
Introduction to Predictive Modeling
Decision Tree
Types of Decision Tree
Logistic Regression
Neural Networks
K-Nearest Neighbour
Naïve Bayes
Linear Regression
Module 9: Predictive Models Assessment
Introduction to Predictive Models Assessment
Metrics to Evaluate Predictive Models
Module 10: Model Ensembles
Ensemble Modeling
Types of Model Ensembles
Bias Variance Trade-Off
Bagging and Boosting
Interpreting Model Ensembles
Module 11: Text Mining
Introduction to Text Mining
Structured Vs Unstructured Data
Text Mining Applications
Steps of Data Preparation
Regular Expressions
Module 12: Predictive Model Deployment
Introduction to Predictive Model Deployment
Building Predictive Models
Predictive Analytics at The knowledge academy Admission Process
Important Dates
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