Data Science Foundation: From Python to Deep Learning

About this path

This learning path is built from the Sheryians AI School's Data Science Foundation Course playlist. It takes you from absolute beginner to a solid understanding of core data science tools and concepts. You'll start with Python, then move through essential libraries like NumPy and Pandas, learn to visualize data, and build a statistical foundation. From there, you'll explore machine learning algorithms, SQL for data analytics, natural language processing, and finally deep learning architectures including ANNs, CNNs, RNNs, and Transformers. Each video includes hands-on explanations and real-world examples, so you can practice as you learn.

What you will learn

• Write Python code from beginner to advanced level
• Use NumPy for numerical computing and array operations
• Manipulate and analyze data with Pandas
• Create data visualizations with Matplotlib and Seaborn
• Apply core statistics concepts to data science problems
• Understand and implement machine learning models
• Query and manage data using SQL
• Perform natural language processing tasks with machine learning
• Build and understand neural networks, CNNs, RNNs, and Transformers

Who this is for

Beginners who want a structured free introduction before deeper practice.

Curriculum