Utilized Knowledge Science with Python Specialization

WHAT YOU WILL LEARN

• Conduct an inferential statistical evaluation

• Discern whether or not an information visualization is sweet or unhealthy

• Improve an information evaluation with utilized machine studying

• Analyze the connectivity of a social community

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SKILLS YOU WILL GAIN

• Textual content Mining
• Python Programming
• Pandas
• Matplotlib
• Numpy
• Knowledge Cleaning
• Knowledge Virtualization
• Knowledge Visualization (DataViz)
• Machine Studying (ML) Algorithms
• Machine Studying
• Scikit-Study
• Pure Language Toolkit (NLTK)

About this Specialization

The 5 programs on this College of Michigan specialization introduce learners to knowledge science via the python programming language. This skills-based specialization is meant for learners who’ve a primary python or programming background, and wish to apply statistical, machine studying, data visualization, textual content evaluation, and social community evaluation methods via well-liked python toolkits akin to pandas, matplotlib, scikit-learn, nltk, and networkx to achieve perception into their knowledge.

Introduction to Knowledge Science in Python (course 1), Utilized Plotting, Charting & Knowledge Illustration in Python (course 2), and Utilized Machine Studying in Python (course 3) needs to be taken so as and previous to another course within the specialization. After finishing these, programs 4 and 5 might be taken in any order. All 5 are required to earn a certificates.