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:
Data Collection and Preparation
Statistical Analysis
Exploratory Data Analysis (EDA)
Advanced Analytics:
- This involves applying more advanced techniques like machine learning algorithms, predictive modeling, clustering, and classification to extract deeper insights from the data.
Visualization
Interpretation and Insight Generation
Domain Expertise
Report Generation
Decision Support
Consultation and Collaboration