data-science-expert
Expert-level data science, analytics, visualization, and statistical modeling
npx skills add majiayu000/claude-skill-registry --skill data-science-expert --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Data Science Expert Expert guidance for data science, analytics, statistical modeling, and data visualization. ## Core Concepts ### Data Analysis - Exploratory Data Analysis (EDA) - Data cleaning and preprocessing - Feature engineering - Statistical inference - Time series analysis - A/B testing ### Machine Learning - Supervised learning (classification, regression) - Unsupervised learning (clustering, PCA) - Model selection and validation - Feature importance - Hyperparameter tuning - Ensemble methods ### Data Visualization - Matplotlib, Seaborn, Plotly - Statistical plots - Interactive dashboards - Storytelling with data - Best practices for visualization - Color theory and accessibility ## Data Cleaning and EDA ```python import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns from typing import Dict, List class DataCleaner: """Clean and preprocess data""" def __init__(self, df: pd.DataFrame): self.df = df.copy() self.cleaning_log = [] def handle_missing_values(self, strategy: str = 'drop', fill_value=None) -> pd.DataFrame: """Handle missing values""" missing_before = self.df.isnull().sum().sum() if strategy == 'drop': self.df = self.df.drop
- Core Concepts
- Data Analysis
- Machine Learning
- Data Visualization
- Data Cleaning and EDA
- Feature Engineering
- Time Series Analysis
- A/B Testing
- Best Practices
- Visualization
- Anti-Patterns
- Resources
What does the data-science-expert skill do?
Expert-level data science, analytics, visualization, and statistical modeling
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill data-science-expert --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.