Applied Data Science with Python

Completed by Seonaid Lee

June 15, 2019

Approximately 20 weeks to complete.

Course Certificates Completed

Applied Social Network Analysis in Python

Applied Text Mining in Python

Applied Plotting, Charting & Data Representation in Python

Applied Machine Learning in Python

Introduction to Data Science in Python

View certificate for Seonaid Lee, Applied Data Science with Python, offered through Coursera. 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, and text analysis techniques to gain new insight into their data. In the final course, students will work on real-world data analysis projects, building a portfolio which showcases their work while at the same time helping real clients gain a better understanding of their data.

Course Certificates

Earned after completing each course in the Specialization

Applied Social Network Analysis in Python

University of Michigan

Taught by: Daniel Romero

Completed by: Seonaid Lee by June 15, 2019

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Applied Text Mining in Python

University of Michigan

Taught by: V. G. Vinod Vydiswaran

Completed by: Seonaid Lee by June 11, 2019

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Applied Plotting, Charting & Data Representation in Python

University of Michigan

Taught by: Christopher Brooks

Completed by: Seonaid Lee by June 6, 2019

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Applied Machine Learning in Python

University of Michigan

Taught by: Kevyn Collins-Thompson

Completed by: Seonaid Lee by May 14, 2019

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Introduction to Data Science in Python

University of Michigan

Taught by: Christopher Brooks

Completed by: Seonaid Lee by March 13, 2019

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