{"id":10068,"date":"2023-07-31T16:16:47","date_gmt":"2023-07-31T14:16:47","guid":{"rendered":"https:\/\/www.qsarlab.com\/?page_id=10068"},"modified":"2026-02-06T13:41:37","modified_gmt":"2026-02-06T12:41:37","slug":"chemical-data-analysis-in-python","status":"publish","type":"page","link":"https:\/\/www.qsarlab.com\/en\/chemical-data-analysis-in-python\/","title":{"rendered":"Chemical Data Analysis in Python"},"content":{"rendered":"\t\t
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Chemical Data Analysis in Python \u2013 supervised and unsupervised methods in computational chemistry <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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The 2-day “Chemistry Data Analysis in Python” course is aimed at participants who want to gain practical skills in using Python for chemical data analysis, unsupervised and supervised learning methods, and molecular modeling tasks.<\/p>

Upon completion of this course, participants will be equipped with the skills to effectively analyze chemical data, create machine learning models, and be familiar with the basics of using programming tools to work on computational chemistry tasks.<\/p>

The course is in English<\/b> (or Polish – if the entire group of participants is Polish).<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t <\/div>\n <\/div>\n <\/div>\n <\/section>\n

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*Price includes: participation in classes, training materials, certificate of participation.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Programme<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t <\/div>\n <\/div>\n <\/div>\n <\/section>\n
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Day 1: Data Processing and Unsupervised Methods<\/span><\/b>\u00a0<\/span><\/p>

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Morning Session:<\/span><\/b>\u00a0<\/span><\/p>

Data Processing and Preparation<\/span>\u00a0<\/span><\/p>

1. Course Introduction and Official Commencement<\/span>\u00a0<\/span><\/p>

2. Lecture – Data Collection and Processing<\/span>\u00a0<\/span><\/p>