21-Data Science and Analytics
This comprehensive course provides a deep dive into the field of Data Science and Analytics, equipping students with the skills needed to extract insights from vast amounts of data. The course covers fundamental concepts, including data collection, cleaning, and preprocessing, as well as advanced topics such as machine learning, statistical modeling, and data visualization. Students will learn how to apply various tools and techniques, including Python, R, SQL, and popular libraries like Pandas, NumPy, and TensorFlow, to solve real-world problems.