Awesome-Data-Science-Resoruces
A curated list of Data science resources that cover all the data science theoretical and practical skills.
1. Problem Statment Defining Bussines Questions
2. Data Collection
- 5 Short Courses to Advance Your SQL Skills
- SQL Mastery for Data Scientists: A Comprehensive Guide from Novice to Advanced
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
4. Data Exploration
5. Modeling
- 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
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
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
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
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
7. Software Engineering for Data Scientist
- Software Engineering Roadmap For Data Scientists
- Ultimate Free Python For Data Science Roadmap In 2023
- 5 Short Courses to Learn Scripting For Data Science
- 5 Short Courses to Learn Software Engineering Skills for Data Scientists