Data Analysis Techniques

Data analysis is a crucial skill in today's data-driven world. It involves the process of inspecting, cleaning, transforming, and modeling data to discover useful information, suggest conclusions, and support decision-making. Here are some common data analysis techniques:

Common Data Analysis Techniques

Descriptive Analysis: Summarizes the main characteristics of the data.
Inferential Analysis: Uses data to draw conclusions about a larger population.
Predictive Analysis: Uses historical data to predict future outcomes.
Text Analysis: Analyzes text data to extract information and insights.
Sentiment Analysis: Determines the sentiment of a piece of text (positive, negative, neutral).

Resources

For more detailed information on data analysis techniques, you can read our comprehensive guide on Data Analysis Fundamentals.