{"id":11094,"date":"2026-08-10T10:27:41","date_gmt":"2026-08-10T10:27:41","guid":{"rendered":"https:\/\/nokobox.com\/index.php\/item\/coursera-more-applied-data-science-with-python-specialization-2025-7\/"},"modified":"2026-08-10T10:27:41","modified_gmt":"2026-08-10T10:27:41","slug":"coursera-more-applied-data-science-with-python-specialization-2025-7","status":"publish","type":"digital_item","link":"https:\/\/nokobox.com\/index.php\/item\/coursera-more-applied-data-science-with-python-specialization-2025-7\/","title":{"rendered":"Coursera \u2013 More Applied Data Science with Python Specialization 2025-7"},"content":{"rendered":"
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Descriptions<\/h2>\n

More Applied Data Science with Python Specialization, In our increasingly interconnected world, we\u2019re collecting more raw data than ever. In \u201cMore Applied Data Science with Python,\u201d you\u2019ll learn how to extract and analyze complex data sets using Python. Practice using real-world data sets, like health data and comment sections, to develop visual representations and identify key patterns amongst populations. You\u2019ll also learn to manage missing and messy data using advanced manipulation methods. Throughout this course series, you\u2019ll build a foundation for advanced analytics and machine learning with the help of Scikit-Learn and NLP libraries by applying methods for data mining, clustering, topic modeling, network modeling, and information extraction. Upon completing the series, you\u2019ll have gained advanced data analysis skills that will help you gain insights into the datasets you\u2019re exploring. Perform data analysis, manipulation, and extraction on real-world data collected from restaurants, genetics, recipes, emojis, contact lists, addresses, music, epidemics, community structures, and more. Apply machine learning and advanced analytics techniques to derive practical findings and make representations that explain data patterns and connections.<\/p>\n

What you\u2019ll learn<\/h3>\n