Embark on a transformative journey into the world of data with our "Introduction to Data Science (ML & DL)" course. Designed for beginners, this comprehensive program covers essential topics such as Python programming, data manipulation, exploratory data analysis, and machine learning fundamentals. Participants will learn to acquire, clean, and analyze data, gaining practical skills in Python libraries like NumPy, Pandas, and Matplotlib. Advanced topics include feature engineering, deep learning basics, and model deployment using TensorFlow or PyTorch. The course culminates in a Capstone Project where learners apply their skills to solve a real-world problem, ensuring hands-on experience. With additional resources like recommended readings and industry case studies, graduates will be well-prepared for diverse career opportunities in machine learning engineering, data science, and research. Prerequisites include basic Excel, SQL, and Python skills, making it accessible to anyone eager to explore the exciting field of data science.