Python for Data Analytic

This certificate validates advanced proficiency in Python programming for data analytics. The course covered essential Python concepts such as data types, conditionals, loops, functions, and collections (lists, dictionaries). Learners gained hands-on experience in data manipulation and analysis using Pandas—handling Series and DataFrames, merging datasets, and performing string and datetime operations. Emphasis was placed on Exploratory Data Analysis (EDA), including identifying variable types, handling missing and duplicate data, detecting outliers, and conducting univariate and bivariate analysis using visualization and statistical summaries. The course concluded with automated EDA using the dataprep library.

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