This comprehensive 24-hour Data Science course is designed for beginners who want to master the field of Data Science and AI from the ground up. The course starts with Python programming fundamentals, introducing libraries such as NumPy, Pandas, Matplotlib, and Seaborn for data manipulation, analysis, and visualization.

Learners explore essential statistics and probability concepts, enabling them to understand and interpret data accurately. The course then dives into machine learning, covering supervised learning (regression, classification), unsupervised learning (clustering, dimensionality reduction), and model evaluation techniques. Practical examples demonstrate how these algorithms solve real-world business problems.

The program also introduces deep learning and neural networks, natural language processing (NLP), and AI applications, highlighting how modern AI solutions are built. Hands-on projects reinforce theoretical concepts, helping learners gain practical experience with datasets, predictive modeling, and AI workflows.

By the end of the course, participants will have the skills to work on data-driven projects, build machine learning models, and analyze complex datasets. This course is ideal for beginners, aspiring data scientists, and professionals seeking a strong foundation in data science and AI.