Description:

This course provides a comprehensive introduction to the fundamental concepts of data science, artificial intelligence, and machine learning. Students will gain a solid understanding of the core principles and techniques used in these fields, enabling them to apply data-driven insights to real-world problems. Through a combination of theoretical knowledge and hands-on exercises, participants will develop the skills necessary to analyze large datasets, build predictive models, and make data-informed decisions.

Key Highlights:

• Learn the basics of data science, artificial intelligence, and machine learning
• Understand the key principles and techniques for analyzing and interpreting data
• Gain hands-on experience in building and deploying predictive models
• Apply data-driven insights to solve real-world problems

What you will learn:

• Learning Outcome 1
  Develop a solid understanding of data science concepts and methodologies
• Learning Outcome 2
  Learn how to preprocess and clean datasets for analysis
• Learning Outcome 3
  Explore the fundamentals of artificial intelligence and machine learning algorithms
• Learning Outcome 4
  Build predictive models using popular machine learning frameworks
• Learning Outcome 5
  Apply data science techniques to address real-world challenges