How to Learn Data Analytics Step by Step Using SQL, Python, Pandas, and Power BI?
Data analytics is the structured process of collecting, cleaning, analyzing, and visualizing data to support business decision-making. It combines database querying (SQL), programming and data manipulation (Python, Pandas, NumPy), statistical analysis, and visualization tools (Power BI, Tableau) to transform raw data into actionable insights. A step-by-step learning approach focuses on understanding data sources, applying analytical techniques, and communicating results through dashboards and reports. What Is Data Analytics? Data analytics is the discipline of examining datasets to identify patterns, trends, relationships, and anomalies that inform operational, financial, and strategic decisions. In enterprise environments, data analytics typically involves: Extracting data from relational databases or data warehouses Cleaning and transforming data to ensure accuracy and consistency Applying descriptive or diagnostic analysis Visualizing findings in dashboards or reports for stakehold...