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Level Professional
المدة
الطبع بواسطة University of Michigan
Offered by

عن

The 5 courses in this University of Michigan specialization introduce learners to data science through the python programming language. This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data. Introduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate.

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Dive into the world of data science with the University of Michigan's Applied Data Science with Python specialization on Coursera. This professional-level course is perfect for those with a basic programming background, focusing on statistical analysis, machine learning, and data visualization using Python toolkits like pandas and scikit-learn. Comprising five courses, it covers everything from introductory data science to advanced text and social network analysis. Available through Starter and Professional subscription options, this series equips you with the skills to turn data into insights.