Problem Solving

The foundation of data analysis, where you define the problem clearly, break it down into smaller parts, and find solutions through data. This block is crucial for understanding the context and objective behind every analysis.

Data Handling & Preparation

Before diving into analysis, cleaning and structuring data is essential. This involves extracting, transforming, and loading (ETL) data from various sources and making it ready for analysis. Without this step, no reliable insights can be derived.

Statistical & Analytical Thinking

Data analyst & scientists need to have a solid grasp of statistical methods to understand patterns, test hypotheses, and draw meaningful conclusions. Analytical thinking ensures they apply the right techniques and models.

Communication & Visualization

Once insights are drawn, it's equally important to communicate them clearly through storytelling and visual representations like graphs and dashboards. This helps decision-makers understand the findings and take appropriate actions.