{"id":13431,"date":"2026-08-10T10:59:13","date_gmt":"2026-08-10T10:59:13","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/udemy-data-cleaning-and-preprocessing-using-python-2025-10\/"},"modified":"2026-08-10T10:59:13","modified_gmt":"2026-08-10T10:59:13","slug":"udemy-data-cleaning-and-preprocessing-using-python-2025-10","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/udemy-data-cleaning-and-preprocessing-using-python-2025-10\/","title":{"rendered":"Udemy \u2013 Data Cleaning and Preprocessing using Python 2025-10"},"content":{"rendered":"
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Description<\/h2>\n

Data Cleaning and Preprocessing using Python is a course on how to prepare raw data for analysis and machine learning published by Udemy Online Academy. This is a hands-on course designed to teach people how to prepare raw data for analysis and machine learning. The course covers essential techniques for handling missing values, removing duplicates, correcting inconsistencies, standardizing data formats, and transforming data for modeling. You will learn how to use Python libraries such as Pandas and NumPy to efficiently manipulate datasets, perform feature scaling, encoding and normalization, and apply data validation and quality checks.<\/p>\n

Key points include handling missing and inconsistent data, removing duplicates and errors, standardizing data formats, performing feature scaling and normalization, encoding categorical variables, using Python libraries such as Pandas and NumPy for data manipulation, validating and checking data quality, transforming data for machine learning, preparing datasets for analysis, and developing efficient and repeatable data preprocessing workflows. In the end, individuals will gain the skills to effectively clean, preprocess, and structure data, ensuring accurate and reliable analysis or model training.<\/p>\n

What you will learn in Data Cleaning and Preprocessing using Python:<\/h3>\n