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Master Data ScienceFrom Math Theory to Python Code

Bridge the gap between classroom math and real data science. Learn statistics, implement algorithms from scratch, and understand the math behind machine learning.

Data Science Fundamentals

15+ Problems Bridging Math & Code

See the LaTeX formula. Understand the theory. Implement in Python. From correlation coefficients to one-hot encoding, learn data science from first principles.

๐Ÿ“Š Statistics
Correlation, variance, z-scores, hypothesis testing
๐Ÿงน Data Cleaning
Missing values, outliers, normalization, encoding
๐Ÿค– ML Metrics
MSE, MAE, Rยฒ, accuracy, train-test split

Multiplayer Mode

Race Against Your Friends!

Challenge your friends in real-time typing and math races. See live progress bars, compete for the top spot, and track your wins on friends-only leaderboards.

Practice Modes

Math Practice
Algebra, Pre-Calc, Calculus 1-3, Probability & Statistics

Unlimited generated problems with variable parameters. Master concepts through repetition.

Python for Data Science
NumPy, pandas, and sklearn patterns

Learn industry-standard libraries. See multiple solution approaches. Understand when to use each.

Smart Hints
Step-by-step guidance when you need it

Get hints at your own pace. Learn the process, not just the answer.

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Problems
5+
Math Topics
15+
DS Problems
5min
Quick Sessions