Data Analysis Techniques
Data analysis techniques refer to systematic methods used to inspect, clean, and model data with the goal of discovering valuable information, informing conclusions, and supporting decision-making. Common techniques include descriptive statistics, which summarize data characteristics; inferential statistics, which draw conclusions about populations based on sample data; and regression analysis, which examines relationships between variables. Qualitative methods, like thematic analysis, can also be employed to interpret non-numeric data. More advanced approaches, such as machine learning and predictive analytics, leverage algorithms to uncover patterns and forecast outcomes. By employing these techniques, analysts can transform raw data into actionable insights, driving informed strategies.
