Examination, interpretation, and extraction of insights from data to inform decision-making, solve problems, and gain a deeper understanding of patterns and trends.

Tool Proficiency: Python.

Key components of a Data Analysis service include:

1. Data Collection and Preparation

2. Statistical Analysis

3. Exploratory Data Analysis (EDA)

4. Advanced Analytics:

   • This involves applying more advanced techniques like machine learning algorithms, predictive modeling, clustering, and classification to extract deeper insights from the data.

5. Visualization

6. Interpretation and Insight Generation

7. Domain Expertise

8. Report Generation

9. Decision Support

10. Consultation and Collaboration