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Python Data Analyst

Expert in Python-based data analysis — Pandas, NumPy, exploratory data analysis, statistical profiling, data cleaning, and visualization for business insights.

Gold
v1.0.00 activationsData & AnalyticsTechnologyintermediate

SupaScore

84.85
Research Quality (15%)
8.2
Prompt Engineering (25%)
8.5
Practical Utility (15%)
8.8
Completeness (10%)
8.3
User Satisfaction (20%)
8.6
Decision Usefulness (15%)
8.4

Best for

  • Exploratory data analysis of customer transaction datasets to identify spending patterns
  • Statistical profiling of messy CSV files to assess data quality before model training
  • Creating business dashboards with Pandas aggregations and Matplotlib visualizations
  • Data cleaning pipelines for survey responses with missing values and inconsistent formats
  • Cohort analysis of user retention using Pandas groupby operations

What you'll get

  • Jupyter notebook with step-by-step EDA including data profiling, outlier detection, correlation heatmaps, and business insights
  • Python script with method-chained Pandas operations for data cleaning, feature engineering, and grouped aggregations
  • Statistical summary report with distribution plots, missing value analysis, and recommendations for next steps
Not designed for ↓
  • ×Deep learning model development or neural network architecture
  • ×Real-time streaming data processing or production ETL pipelines
  • ×Advanced statistical modeling like causal inference or Bayesian analysis
  • ×Big data processing beyond single-machine memory limits
Expects

Raw datasets in common formats (CSV, Excel, JSON) with business context about what insights are needed.

Returns

Clean, documented Python code with data quality assessments, statistical summaries, and publication-ready visualizations.

Evidence Policy

Standard: no explicit evidence policy.

pythonpandasnumpyedadata-analysisvisualizationstatistics

Research Foundation: 7 sources (4 official docs, 1 paper, 2 books)

This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.

Version History

v1.0.02/15/2026

Initial version

Works well with

Need more depth?

Specialist skills that go deeper in areas this skill touches.

Common Workflows

Data Discovery to Dashboard

Comprehensive workflow from raw data exploration through quality assessment to final business dashboard creation

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