Data analysis is a systematic process of inspecting, cleaning, transforming, and modelling data to discover meaningful patterns, extract insights, and support decision-making. It plays a pivotal role in various disciplines, ranging from business and science to healthcare and social sciences. Data analysis involves a range of techniques, tools, and methodologies to interpret raw data and uncover valuable information that can drive informed actions and strategies.
Data analysis helps businesses to understand customer behaviour, optimize supply chains, and make strategic decisions in the favour of growth. Check all the hypothesis of market trend to take a better decision. Analysis of financial data aids in risk assessment, fraud detection, and portfolio management.
What is data analysis
Data analysis is the process of inspecting, cleaning, transforming, and interpreting data to discover meaningful patterns, trends, and insights. It involves using various techniques and tools to extract valuable information from raw data.
What are the steps involved in data analysis
What are some common data analysis techniques
What is the difference between qualitative and quantitative data analysis
What is the difference between data mining and data analysis
Data analysis is the broader process of examining data to extract insights and draw conclusions. Data mining is a specific subset of data analysis that involves the discovery of hidden patterns, relationships, or trends in large datasets, often using machine learning algorithms.