Applied Data Science with Python
About this course
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.
90/100
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- 35/35
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What you'll learn
- apply statistical techniques using Python
- implement machine learning algorithms
- visualize data with matplotlib
- conduct text analysis with nltk
- analyze social networks with networkx
Course objectives
- introduce learners to data science concepts
- develop practical skills in Python for data analysis
- prepare learners to utilize popular Python toolkits effectively
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