Predictive Analytics Training Course || Chrono Learn

Course Details

Data Analysis
5.0 Reviews

Predictive Analytics Training Course

By Chronolearn
03/Jul/2024
1 Students

Course Description

This comprehensive training programme is designed to equip professionals with the knowledge and practical skills required to understand, build, and apply predictive analytics models. Covering the full predictive analytics lifecycle—from problem definition and data preparation to model evaluation and deployment—this course provides a balanced mix of theory, hands-on techniques, and industry insights.

Participants will explore a range of statistical, machine learning, and data visualisation techniques to uncover patterns in data and make informed business decisions. The course also introduces trending topics such as ensemble methods, AutoML, and text mining, ensuring learners are well-prepared for real-world analytics scenarios.

Suitable for analysts, data professionals, and business decision-makers, the course combines best practices with modern tools and frameworks to ensure participants gain job-ready expertise.

What You’ll Learn

By the end of this course, you will be able to:

Understand the fundamentals and real-world applications of predictive analytics.
Differentiate between predictive analytics and traditional business intelligence methods.
Formulate and frame analytical problems effectively.
Explore and visualise data using standard and advanced techniques.
Prepare and transform data for machine learning algorithms.
Apply association rules and clustering for descriptive insights.
Build, train, and interpret predictive models using decision trees, regression, KNN, neural networks, and more.
Evaluate model performance using relevant metrics and validation techniques.
Implement ensemble models such as bagging and boosting to enhance prediction accuracy.
Conduct basic text mining and apply natural language processing techniques.
Deploy predictive models and integrate them into business applications.
Understand ethical considerations, data privacy, and responsible AI practices in analytics.

Course Curriculum

Foundations of Predictive Analytics
0h

Problem Formulation in Analytics
0h

Data Exploration and Understanding
0h

Data Preparation Techniques
0h

Association Rules and Market Basket Analysis
0h

Exploratory Descriptive Modeling
0h

Interpreting Descriptive Outcomes
0h

Predictive Modeling Techniques
0h

Evaluation and Validation of Predictive Models
0h

Ensemble Methods and Hybrid Modeling
0h

Text Analytics and Natural Language Processing (NLP)
0h

Model Deployment and Operationalization
0h

Chronolearn

Developer

I am a web developer with a vast array of knowledge in many different front end and back end languages, responsive frameworks, databases, and best code practices

Reviews

5.0

1 Ratings

Cain Buck 23 Jun, 2024

Good course loved it a lot

Title	From Date	To Date	Cost
Test Data	2025-04-14	2025-04-22	200
Upcoming Batch	2025-05-12	2025-05-14	200
Upcoming Classes	2025-05-17	2025-05-19	999
Predictive Analytics Training Course	2025-05-24	2025-05-26	999
Predictive Analytics Training Course	2025-05-31	2025-06-02	999