Free learning resources
Every resource curated across all roadmaps, in one searchable place. 90 shown.
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docs · 2595
article · 1099
course · 754
opensource · 445
video · 364
practice · 255
tool · 236
book · 172
docs
MLflow documentation
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Machine Learning Engineer, $150K to $250K
video
3Blue1Brown Essence of Linear Algebra
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Mathematical Foundations
course
Kaggle Learn Computer Vision micro-course
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Computer Vision with CNNs
course
MadeWithML MLOps course
Data Science / Data Science Roadmap 2026: From Beginner to Pro · MLOps and Deployment
docs
NumPy official documentation
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Data Wrangling and EDA
course
Mode Analytics SQL for Data Analysis
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Programming and Engineering
video
Patrick Loeber FastAPI tutorial
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Docker for Data Science
practice
LeetCode Database problems
Data Science / Data Science Roadmap 2026: From Beginner to Pro · SQL for Data Extraction
video
3Blue1Brown neural networks series
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Backpropagation and MLPs
article
Distill.pub how to use t-SNE effectively
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Unsupervised Clustering
docs
HuggingFace Transformers documentation
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Transformers and RAG
book
Michael Nielsen Neural Networks and Deep Learning free book
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Backpropagation and MLPs
course
Khan Academy Statistics and Probability
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Hypothesis Testing
video
3Blue1Brown Essence of Linear Algebra
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Vectors and Matrices
docs
FastAPI documentation
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Machine Learning Engineer, $150K to $250K
article
Distill.pub visual math for ML explanations
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Mathematical Foundations
docs
Streamlit documentation
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Dashboarding with Streamlit
video
Serrano Academy SHAP Values explained
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Model Interpretability with SHAP
docs
Streamlit documentation
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Data Wrangling and EDA
opensource
Google Container Tools distroless images
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Docker for Data Science
docs
scikit-learn PCA documentation
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Eigenvalues and PCA
docs
Chroma vector database documentation
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Transformers and RAG
course
Mode Analytics SQL tutorial
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Data Analyst or BI Developer, $70K to $110K
article
Distill.pub visual explanations
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Hypothesis Testing
practice
Brilliant.org linear algebra track
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Vectors and Matrices
course
fast.ai Practical Deep Learning for Coders
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Computer Vision with CNNs
docs
Weights and Biases documentation
Data Science / Data Science Roadmap 2026: From Beginner to Pro · MLflow Experiment Tracking
docs
Streamlit caching guide
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Dashboarding with Streamlit
opensource
LIME GitHub repository
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Model Interpretability with SHAP
course
Kaggle Learn Python and SQL micro-courses
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Programming and Engineering
docs
Pandas official documentation
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Data Cleaning
docs
Polars official documentation
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Pandas and Polars
docs
HuggingFace Transformers documentation
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Deep Learning and Generative AI
video
Corey Schafer Python playlist
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Python for Data Science
docs
NumPy linear algebra documentation
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Eigenvalues and PCA
docs
scikit-learn clustering documentation
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Unsupervised Clustering
practice
PGExercises SQL practice
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Data Analyst or BI Developer, $70K to $110K
docs
Scikit-learn User Guide
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Machine Learning
docs
LightGBM documentation
Data Science / Data Science Roadmap 2026: From Beginner to Pro · XGBoost and LightGBM
course
MadeWithML MLOps course
Data Science / Data Science Roadmap 2026: From Beginner to Pro · MLflow Experiment Tracking
docs
Docker official documentation
Data Science / Data Science Roadmap 2026: From Beginner to Pro · MLOps and Deployment
article
Real Python data cleaning articles
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Data Cleaning
article
Modern Polars guide
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Pandas and Polars
video
3Blue1Brown neural networks series
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Deep Learning and Generative AI
course
Kaggle Learn Python micro-course
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Python for Data Science
article
Atlassian Git tutorials
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Git and Version Control
docs
Scikit-learn documentation
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Data Scientist Generalist, $120K to $180K
course
Kaggle Learn Intro and Intermediate Machine Learning
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Machine Learning
practice
Kaggle House Prices competition
Data Science / Data Science Roadmap 2026: From Beginner to Pro · XGBoost and LightGBM
docs
DVC data version control documentation
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Git and Version Control
article
Towards Data Science articles
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Data Scientist Generalist, $120K to $180K
course
MIT 18.06SC Linear Algebra by Gilbert Strang
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Mathematical Foundations
docs
HuggingFace Transformers vision models documentation
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Computer Vision with CNNs
course
DataTalksClub MLOps Zoomcamp
Data Science / Data Science Roadmap 2026: From Beginner to Pro · MLOps and Deployment
docs
Pandas official documentation
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Data Wrangling and EDA
article
Real Python tutorials
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Programming and Engineering
docs
FastAPI official documentation
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Docker for Data Science
docs
PostgreSQL official documentation
Data Science / Data Science Roadmap 2026: From Beginner to Pro · SQL for Data Extraction
course
Kaggle Learn clustering exercises
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Unsupervised Clustering
docs
NumPy linear algebra documentation
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Vectors and Matrices
docs
Docker official documentation
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Machine Learning Engineer, $150K to $250K
course
Khan Academy Statistics and Probability
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Mathematical Foundations
opensource
Meta Segment Anything Model repository
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Computer Vision with CNNs
opensource
SHAP official library and documentation
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Model Interpretability with SHAP
docs
Seaborn documentation
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Data Wrangling and EDA
docs
Docker multi-stage builds guide
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Docker for Data Science
course
Kaggle Learn Advanced SQL micro-course
Data Science / Data Science Roadmap 2026: From Beginner to Pro · SQL for Data Extraction
course
fast.ai Practical Deep Learning for Coders
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Backpropagation and MLPs
docs
PyTorch official documentation
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Deep Learning and Generative AI
course
MIT 18.06SC Linear Algebra
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Eigenvalues and PCA
article
Illustrated Transformer article by Jay Alammar
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Transformers and RAG
course
Kaggle Learn Deep Learning micro-course
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Backpropagation and MLPs
docs
SciPy stats documentation
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Hypothesis Testing
opensource
fastai numerical linear algebra course companion
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Vectors and Matrices
docs
PyTorch official documentation
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Computer Vision with CNNs
docs
MLflow documentation
Data Science / Data Science Roadmap 2026: From Beginner to Pro · MLflow Experiment Tracking
docs
Plotly documentation for interactive charts
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Dashboarding with Streamlit
course
Kaggle Learn Machine Learning Explainability
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Model Interpretability with SHAP
practice
PGExercises SQL practice platform
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Programming and Engineering
docs
Pandas official documentation
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Pandas and Polars
article
Real Python tutorials
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Python for Data Science
video
StatQuest PCA explained video
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Eigenvalues and PCA
course
Kaggle Learn Deep Learning micro-course
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Transformers and RAG
docs
Power BI documentation
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Data Analyst or BI Developer, $70K to $110K
article
Real Python statistics articles
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Hypothesis Testing
docs
XGBoost documentation
Data Science / Data Science Roadmap 2026: From Beginner to Pro · XGBoost and LightGBM
opensource
MLflow GitHub repository
Data Science / Data Science Roadmap 2026: From Beginner to Pro · MLflow Experiment Tracking
article
Real Python Streamlit articles
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Dashboarding with Streamlit
opensource
Great Expectations data validation library
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Data Cleaning
article
Real Python Pandas articles
Data Science / Data Science Roadmap 2026: From Beginner to Pro · Pandas and Polars