Python for data science and AI,
in this course is designed to provide a comprehensive introduction to Python programming, focusing on its applications in data science and artificial intelligence (AI). You’ll start with Python basics, covering variables, data types, loops, and functions, and progress to advanced topics like data manipulation, visualization, and statistical analysis using libraries such as Pandas, Numpy, and Matplotlib. The course also delves into AI concepts, teaching you to build machine learning models using Scikit-learn and develop deep learning algorithms with TensorFlow or PyTorch. You'll explore real-world datasets, perform predictive analytics, and create AI solutions that demonstrate practical skills. Hands-on projects and exercises are included to ensure you gain experience in solving real-world problems. Whether you’re a beginner or looking to enhance your skills, this course equips you with the knowledge to use Python effectively in data-driven and AI projects, preparing you for a career in this exciting field.
