Data Science

This Data Science course provides a comprehensive foundation in Python programming, covering essentials like data types, control flow, functions, object-oriented programming, and file handling. It delves into numerical computation and data manipulation with libraries like NumPy and Pandas, alongside data visualization techniques. Participants will gain a deep understanding of statistical concepts such as central tendency, variance, probability distributions, and hypothesis testing, essential for data analysis. The course also focuses on machine learning techniques, including regression, classification, clustering, and feature engineering, to address real-world challenges. Advanced topics such as natural language processing, deep learning, and transformer models are explored through practical case studies and projects, ensuring participants are equipped with the latest tools and techniques in AI and data science.