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What you need to know about Data analysis

Data analysis is the process of examining, transforming and interpreting raw data to extract useful information, identify trends and support decision-making. This field is central to many sectors, such as finance, marketing, healthcare or sciences. The data analysis process includes several steps: collecting data from various sources, cleaning it to ensure quality, exploring it using statistical tools, and visualizing it to facilitate understanding. Popular tools for data analysis include Excel, Python (with libraries like Pandas and NumPy), R, and software like Tableau or Power BI. Thanks to data analysis, organizations can better understand their environment, anticipate behaviors, and optimize their operations. It's a key skill in the data era, essential for data scientists, business analysts and decision-makers.