Data analysis is the process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, drawing conclusions, and supporting decision-making. It involves the use of statistical, computational, and mathematical methods to extract insights from data.

Data analysis can be performed on a wide variety of data types, including numerical, categorical, and text data. It can be used in many different fields and industries, such as finance, healthcare, marketing, and scientific research.

The steps involved in data analysis typically includes:

Data collection: Gathering data from various sources, such as surveys, experiments, or databases.

Data cleaning: Removing missing or inaccurate data, and correcting inconsistencies in the data.

Data exploration: Visualizing and summarizing the data to understand its characteristics and identify patterns or relationships.

Data modeling: ' Building mathematical models to describe the relationships between variables in the data.

Data interpretation: Drawing conclusions from the data and communicating the results of the analysis.

Data analysis is an important tool for making informed decisions and solving complex problems, as it allows organizations to identify trends, patterns, and relationships in their data, and use these insights to drive growth and improvement.

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What is Applied Mathematics?

Data Analyst & Data Interpretation aptitude test