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