"Data Science 2" is an intermediate-level class that builds upon the concepts and skills covered in "Data Science 1". This class is designed for individuals who have some experience in data analysis and want to further develop their skills in data science.
Throughout the course, students will learn advanced concepts in data science, including deep learning, natural language processing, big data processing, and data visualization. Students will also learn how to work with more complex data structures, such as time series data, networks, and graphs, and how to apply more sophisticated machine learning techniques, such as neural networks and gradient boosting.
GDSC Lead