{"id":54142,"date":"2025-05-30T13:44:34","date_gmt":"2025-05-30T13:44:34","guid":{"rendered":"https:\/\/academy.xebia.com\/us\/?post_type=course&p=54142"},"modified":"2025-09-25T16:21:52","modified_gmt":"2025-09-25T16:21:52","slug":"data-science-with-python-certified","status":"publish","type":"course","link":"https:\/\/academy.xebia.com\/us\/training\/data-science-with-python-certified\/","title":{"rendered":"Data Science with Python (Certified)"},"content":{"rendered":"\n
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\n\t\t\t\t\n\tData Science with Python <\/strong>(Certified)<\/h2>\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n\t
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\n\tDo you know how to perform basic data analysis in Python but want to learn more about machine learning? During this three-day data science deep dive, you will learn how to unlock Python’s potential for data analysis and machine learning. The course covers training models with scikit-learn and best practices for transforming your data with pandas, with a perfect combination of theory and practice.\u00a0After passing the exam at the end of the course, you’ll be able to call yourself a certified data scientist!

\ud83d\udd06Summer School special – 30% discount!<\/strong> Find out how to sign up here<\/a>.\ud83d\udd06

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\n\t\t\n\tLooking to upskill your team(s) or organization?<\/strong>\u00a0<\/h2>

\n\tBrijesh will gladly help you further with custom training solutions. <\/p>

\n\t\t\n\n\t\n\t\n\t\n<\/picture>\t\t\n\tBrijesh Kohli<\/strong>
Training Advisor<\/h2>\t\t

\n\t+1 (404) 988-3790<\/a>
<\/a>brijesh.kohli@xebia.com
<\/a>https:\/\/www.linkedin.com\/in\/brijesh-kohli\/<\/a><\/p>\t<\/div>\n\t\n\t\t\tGet in touch<\/span>\n\t\n\t<\/a>\t<\/div>\n<\/div>\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\t<\/div>\n<\/div>\t\t<\/div>\n\t<\/div>\n\n\n\n

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\n\tAfter the training, you will be able to:<\/p>\t

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Perform exploratory data analysis on your datasets with pandas<\/p><\/p><\/div>\n\n\n\n

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Train and evaluate machine learning models with scikit-learn.<\/p><\/p><\/div>\n\n\n\n

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\n\tIdentify a suitable machine learning algorithm and metric for your data problem.<\/p><\/div>\n\n\n\n

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Prepare complex data for machine learning with techniques such as scaling, encoding, and imputing.<\/p><\/p><\/div>\n\n\n\n

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\n\tApply best practices for data wrangling and model building.<\/p><\/div>\n\n\t<\/div>\n<\/div>\n\t\t<\/div>\n\t<\/div>\n\n<\/div>\n\n<\/div>\n\t\t<\/div>\n\t<\/div>\n\n\n\n

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