Curriculum for learning data science in 2024
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This repository provides a comprehensive, structured roadmap for learning data science in 2024, targeting aspiring data scientists and engineers. It curates a vast collection of video resources, primarily from YouTube, to guide users through Python, statistics, databases, machine learning, deep learning, NLP, MLOPS, and generative AI.
How It Works
The roadmap follows a phased approach, starting with foundational Python programming and essential libraries like NumPy and Pandas. It then progresses through statistical analysis, database management (MongoDB, MySQL, Cassandra), core machine learning algorithms, deep learning concepts, and Natural Language Processing. A significant portion is dedicated to MLOPS, covering CI/CD, deployment on cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), monitoring tools (Grafana), and workflow orchestration (Airflow). The roadmap concludes with generative AI and Large Language Models (LLMs), including frameworks like Langchain and Google Gemini.
Quick Start & Requirements
1 year ago
Inactive