Data Analysis

Data Analysis

Statistical analysis, visualization, and actionable insights

Analysis Methods

Tools & Technologies

Python Libraries

  • Pandas
  • NumPy
  • Matplotlib
  • Seaborn

Statistical Tools

  • R
  • SPSS
  • SAS
  • Stata

Visualization Tools

  • Tableau
  • Power BI
  • D3.js
  • Plotly

Case Studies

E-commerce Customer Analysis

Analyzing customer behavior patterns to improve conversion rates

Customer SegmentationTime SeriesVisualization

Healthcare Data Analysis

Predicting patient readmission rates using historical data

Predictive ModelingHealthcare AnalyticsPython

Learning Path

1

Foundations

Learn basic statistics and data manipulation techniques

2

Tools & Libraries

Master essential data analysis tools and libraries

3

Advanced Techniques

Explore advanced statistical methods and machine learning

4

Real Projects

Apply your skills to real-world data analysis projects