Predictive Analytics with AI Course

The Oxford Training Centre’s Predictive Analytics with AI course is a one-week intense program designed to provide learners with advanced skills in predictive analytics, machine learning, and artificial intelligence. This course is meant to give students a broad understanding of AI applications in predictive modelling and data analysis. Participants will acquire practical experience constructing, analysing, and optimising predictive models with Python and R. The course also looks at how AI may be integrated into business data to help with decision making. Participants will be certified in predictive analytics, AI, machine learning, or data science upon completion, demonstrating their expertise in these critical fields.

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Objectives and target group

Objectives

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

  • Understand the basic principles of Predictive Analytics and its applications.
  • Apply machine learning algorithms to build and validate predictive models.
  • Implement AI-driven Predictive Analytics using Python and R.
  • Explore the integration of AI in Data Analysis and Business Analytics.
  • Develop practical skills in building and optimizing predictive models on real data.

Target Group

This course is ideal for:

  • Data Scientists and Analysts: Professionals looking to advance their skills in predictive modeling and data analysis.
  • Business Intelligence Specialists: Individuals aiming to apply AI-driven insights to strategic decision-making.
  • IT Professionals: Those wishing to incorporate machine learning and AI techniques into their projects.
  • Researchers and Academics: Scholars interested in mastering predictive analytics with Python and R.
  • Business Leaders and Managers: Decision-makers who want to integrate AI in predictive modeling for business optimization.
  • Career Changers: Individuals seeking to enter the fields of predictive analytics, AI, or data science.

Course Content

The one-week training program covers the following modules:

  1. Introduction to Predictive Analytics
  • Overview of Predictive Analytics and Its Importance to Modern Businesses.
  • Introduction to Important Predictive Analytics Techniques and Tools.
  1. Artificial Intelligence in Predictive Modeling
  • The role of AI in predictive model development.
  • Case studies on AI applications in predictive analytics.
  1. Machine Learning Techniques for Predictive Analytics
  • Introduction to supervised and unsupervised learning methods
  • Important machine learning algorithms for predictive tasks
  1. Predictive Analytics with Python and R
  • Practical training in Python and R for Predictive Analytics.
  • Construction, Validation, and Enhancement of predictive models.
  1. Advanced Predictive Analytics Techniques
  • Ensemble Learning, Deep Learning including Neural Networks.
  • Feature Engineering and Model Optimization Techniques
  1. AI Applications in Business Analytics
  • Demand Forecasting, Customer Segmentation, and Risk Analysis using AI
  • Solving real business problems through hands-on exercises.
  1. Certification and Practical Assessment
  • Practical assessment to estimate practical skills in Predictive Analytics
  • Certification upon completion that is recognized in the industry.

 

Course Dates

January 20, 2025
February 17, 2025
March 24, 2025
April 21, 2025

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