Data collection and ingestion are foundational steps in the data analytics process, laying the groundwork for subsequent analysis, insights generation, and decision-making
Data Exploration and Understanding
Data exploration and understanding involve examining the characteristics, patterns, and relationships within a dataset to gain insights and inform further analysis
Model Development and Evalution
Model development and evaluation involve creating predictive or descriptive models based on the data and assessing their performance to ensure their accuracy and effectiveness in solving the problem at hand
Interpretation and Insight Generation
Interpretation and insight generation involve analyzing the results of data analysis and model outputs to derive actionable insights and meaningful conclusions
