Course Overview:

The Full Stack Data Science course is an all-encompassing program designed to provide students with a comprehensive understanding of data science. Covering everything from the basics of Python programming to advanced topics like Generative AI, this course prepares students to become proficient data scientists capable of handling every aspect of the data science pipeline.

Course Content:

• Introduction to Data Science: Understanding the data science lifecycle and its significance.
• Python Programming: Basics of Python programming, data structures, and libraries such as NumPy and pandas.
• Statistics for Data Science: Fundamental concepts in statistics, probability, and hypothesis testing.
• Databases and SQL: Introduction to relational databases, SQL queries, and data manipulation.
• Data Analysis and Visualization: Techniques for data analysis, cleaning, and visualization using tools like Matplotlib and Seaborn.
• Machine Learning: Supervised and unsupervised learning algorithms, model evaluation, and tuning.
• Deep Learning: Introduction to neural networks, deep learning frameworks like TensorFlow and Keras, and practical applications.
• Natural Language Processing (NLP): Techniques for text processing, sentiment analysis, and language modeling.
• Computer Vision (CV): Fundamentals of computer vision, image processing, and object detection.
• Generative AI: In-depth study of generative models such as GANs, VAEs, and their applications.
• Capstone Project: A comprehensive project that integrates all the concepts learned throughout the course to solve a real-world problem.