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 個學習科目
Statistics & Probability
Learn descriptive and inferential statistics, probability distributions, hypothesis testing, and Bayesian thinking.
開始學習Python & Data Wrangling
Master Python with Pandas for data cleaning, transformation, merging, and handling missing data.
開始學習Data Visualization
Create compelling visualizations with Matplotlib, Seaborn, and Plotly. Learn storytelling with data.
開始學習SQL for Data Analysis
Write complex SQL queries, window functions, CTEs, and optimize queries for large datasets.
開始學習Machine Learning Fundamentals
Apply supervised and unsupervised learning algorithms using scikit-learn for classification, regression, and clustering.
開始學習Feature Engineering & Model Selection
Learn feature creation, selection, cross-validation, hyperparameter tuning, and model evaluation metrics.
開始學習Data Science Projects & Communication
Build end-to-end projects, create dashboards, write reports, and present findings to stakeholders.
開始學習