Learn Data Science
A practical learning path to become a data scientist, covering statistics, data analysis, visualization, and machine learning with real-world projects.
7 matières à étudier
Statistics & Probability
Learn descriptive and inferential statistics, probability distributions, hypothesis testing, and Bayesian thinking.
Commencer à apprendrePython & Data Wrangling
Master Python with Pandas for data cleaning, transformation, merging, and handling missing data.
Commencer à apprendreData Visualization
Create compelling visualizations with Matplotlib, Seaborn, and Plotly. Learn storytelling with data.
Commencer à apprendreSQL for Data Analysis
Write complex SQL queries, window functions, CTEs, and optimize queries for large datasets.
Commencer à apprendreMachine Learning Fundamentals
Apply supervised and unsupervised learning algorithms using scikit-learn for classification, regression, and clustering.
Commencer à apprendreFeature Engineering & Model Selection
Learn feature creation, selection, cross-validation, hyperparameter tuning, and model evaluation metrics.
Commencer à apprendreData Science Projects & Communication
Build end-to-end projects, create dashboards, write reports, and present findings to stakeholders.
Commencer à apprendrePrêt à commencer ?
Créez des cours personnalisés avec l'IA, des leçons interactives et un suivi de progression.
Commencer gratuitement