Data Analysis

Statistical analysis, visualization, and actionable insights

Analysis Methods

Descriptive Analytics

Understanding what happened through data summarization and visualization

Predictive Analytics

Forecasting future trends using statistical models

Data Preprocessing

Cleaning, transforming, and preparing data for analysis

Exploratory Analysis

Discovering patterns and relationships in data

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