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Comet

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Essential Python Topics for Data Analysts šŸ˜„šŸ‘‡ - Data Structures: Lists, Dictionaries, Sets, and Tuples. - NumPy: Array manipulation for numerical operations. - Pandas: Data manipulation and analysis with DataFrame. - Data Cleaning: Handling missing values, duplicates, and outliers. - Data Visualization: Matplotlib and Seaborn for plotting. - Statistical Analysis: Descriptive statistics, hypothesis testing. - SQL Basics: Interacting with databases using Python. - Jupyter Notebooks: Creating and sharing interactive documents. - Machine Learning Basics: Understanding concepts like regression and classification. - Data Wrangling: Merging, reshaping, and transforming datasets. Also, understanding Object-Oriented Programming (OOP) principles can be beneficial for data analysts. It can help in creating more modular and reusable code, enhancing code organization and maintenance. Hope it helps :)

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