Data-Science-Handbook

This is a repo with links to everything you want to learn about data science, AI & Generative AI and LLMs.

1.1. Problem Statment Defining Bussines Questions

• Top 12 Business for Data Science Books for Data Scientists

1.2. Data Collection

• 5 Short Courses to Advance Your SQL Skills
• SQL Mastery for Data Scientists: A Comprehensive Guide from Novice to Advanced

1.3. Data Cleaning & Manipulation

• Five Courses to Master Data Cleaning & Feature Engineering
• 5 Top Data Cleaning and Feature Engineering Books For Data Scientists
• 5 Short Courses to Advance Your Pandas Skills

1.4. Data Exploration & Stats

• 5 Best Books To Learn Statistics And Probability For Data Scientists
• A/B Testing Study Plan: From Novice to Upper Intermediate Level

1.5. AI

• Learn AI from Top Universities Through these 10 Courses
• 6 Best Books to Learn Mathematics for Data Science & Machine Learning
• 6 Top University Courses to Learn Mathematics for Machine Learning & Data Science

1.5.1. Machine & Deep Learning

• The Best Book To Build A Strong Machine Learning Foundation
• 5 Best Books to Learn Machine Learning For Data Scientists
• 3 Books To Build A Strong Deep Learning Foundation

1.5.2. Computer Vision

• 5 Top Practical Computer Vision Books
• Top 10 Theoretical & Practical Computer Vision Books
• Learn Computer Vision From Top Universities
• Mastering & Understanding Computer Vision: A Comprehensive Study Roadmap for 2023

1.5.3. Natural Language Processing

• Top Resoruces to Learn & Understand Large Language Models
• From Novice to Expert: A Comprehensive Step-by-Step Study Plan for Mastering LLMs

1.5.4. Time Series Data Analysis

• 10 Top Time Series Courses to Proficient This Important Data Science Skills
• Level Up Your Time Series Analysis Skills with These 5 Books
• 13 Guided Time Series Projects to Build Your Portfolio

1.5.5. Generative AI & LLMs

LLM Basics

• Top Large Langauge Models Practical & Theoretical Courses

LLM From Scratch

• Best Resources On Building Datasets to Trian LLMs
• Mastering Large Language Model (LLM) Fine-Tuning: Top Learning Resources
• 14 Free Large Language Models Fine-Tuning Notebooks
• Best Resources to Learn & Understand Evaluating LLMs
• Overview of LLM Quantization Techniques & Where to Learn Each of Them?
• Top Resources to Learn & Understand RLHF & LLM Alignment
• How to Stay Updated with LLM Research & Industry News?

LLMs In Production

• Best Resoruces to Learn Prompt Engineering
• Top Resources to Master Vector Databases & Building a Vector Storage
• Top Resources to Master RAG: From Basic Level to Advanced
• Top Free Learning Resources to Master LLM Agents
• 5 Free Tools to Run Large Language Models (LLM) Locally on Your Laptop
• Deploying LLMs: Top Learning & Educational Resources to Get Started
• Getting Started with LLM Inference Optimization: Best Resources
• What is LLMOps and How to Get Started With It
• Securing LLMs: Best Learning & Educational Resources

Building LLM Projects

• 10 Large Language Models Projects To Build Your Portfolio
• 10 Guided Large Language Models Projects to Build Your Portfolio

1.6. Model Deployment

• 5 Short Courses Master Deploying Models Into Production
• 10 Top MlOps Books for Data Scientists
• This Book Will Learn You To Scale Deep Learning Models
• Ultimate MLOps Learning Roadmap with Free Learning Resources In 2023
• 5 Top Machine Learning System Design Books for Data Scientists & Machine Learning Engineers
• 7 Top Courses & Books to Learn Dockers & Kubernetes for Data Scientists

1.7. Software Engineering for Data Scientist

• Software Engineering Roadmap For Data Scientists
• Ultimate Free Python For Data Science Roadmap In 2023
• 6 Top Books to Learn Python & Programming for Data Science
• 5 Short Courses to Learn Scripting For Data Science
• 5 Short Courses to Learn Software Engineering Skills for Data Scientists

1.8. Practical Data Science Skills

• Top 12 Practical Data Science Books
• 5 Short Practical Data Science Courses

1.9. Data Ethics & Literacy

• 5 Short Courses to Learn Data Ethics & Literacy