Predictive Analytics for Business

Course Info

Length:

5 Days

Type:

In Classroom

Available Dates

Course Details

  • Introduction
  • Objective
  • Who should attend

The world of business is rapidly evolving, and data has become a critical resource for making informed decisions. Predictive analytics is a field of study that uses statistical and machine learning techniques to analyze data and make predictions about future outcomes. Predictive analytics can be applied to a range of business problems, including customer segmentation, fraud detection, and supply chain optimization.

In this 5-day course on Predictive Analytics for Business, participants will gain a deep understanding of predictive analytics and its applications in the business world. They will learn the key concepts and techniques of predictive modeling, data preparation, and feature engineering, as well as supervised and unsupervised learning algorithms. The course will also cover advanced topics such as deep learning algorithms and deploying predictive models in a business setting. Participants will leave the course with practical skills and knowledge to apply predictive analytics in their work and drive better business outcomes.

 

Course Outline

5 days course
  • Day 1
  • Day 2
  • Day 3
  • Day 4
  • Day 5

Introduction to Predictive Analytics for Business

  • Overview of predictive analytics and its applications in the business world
  • Exploring the different types of predictive models
  • Understanding the data requirements and data sources for predictive analytics
  • Discussing the key steps involved in building a predictive model

 

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