The best technique for data analysts depends on the problem at hand, but one of the most effective approaches is exploratory data analysis (EDA). EDA involves summarizing data sets, identifying patterns, detecting outliers, and testing assumptions through visualization and statistics. Techniques like correlation analysis, histograms, box plots, and scatter plots are commonly used. Additionally, data cleaning and preprocessing are critical to ensure the dataset’s integrity. Once patterns are understood, more advanced techniques like regression analysis, machine learning, or hypothesis testing can be employed for predictive insights. A combination of these methods ensures thorough analysis.
Read more: Best Data Analyst course in Delhi
Read more: Best Data Analyst course in Delhi
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