About the course

Description:

This course provides an overview of the fundamentals of Data Science and Artificial Intelligence, covering key concepts, techniques, and applications in the field. From understanding buzzwords such as AI, ML, Big Data among others to exploring the different sub-fields of Data Science, students will gain a comprehensive end-to-end overview of the field of Data Science.

Key Highlights:

• Foundational concepts of Data Science including the development lifecycle
• Difference between AI, ML, Big Data and Data Science
• Comprehensive overview of different problems in Data Science
• Python libraries used across Data Science

What you will learn:

• Understand the principles of Data Science
  Explore the basic concepts and methodologies used in Data Science, including data cleaning, transformation, and analysis
• Explore  
  Discover popular sub-fields such as Supervised and Unsupervised Machine Learning, Natural Language Processing, Computer Vision, A/B Testing, Recommender Systems, Optimization