- Text Mining
- Python Programming
- Pandas
- Matplotlib
Applied Data Science with Python
Completed by Seonaid Lee
June 15, 2019
Approximately 4 months at 10 hours a week to completeSeonaid Lee's account is verified. Coursera certifies their successful completion of University of Michigan Applied Data Science with Python Specialization.
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
What you will learn
Conduct an inferential statistical analysis
Discern whether a data visualization is good or bad
Enhance a data analysis with applied machine learning
Analyze the connectivity of a social network
Skills you will gain
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
Applied Text Mining in Python
University of Michigan
Taught by: V. G. Vinod Vydiswaran
Completed by: Seonaid Lee by June 11, 2019
Applied Plotting, Charting & Data Representation in Python
University of Michigan
Taught by: Christopher Brooks
Completed by: Seonaid Lee by June 6, 2019
Applied Machine Learning in Python
University of Michigan
Taught by: Kevyn Collins-Thompson
Completed by: Seonaid Lee by May 14, 2019
Introduction to Data Science in Python
University of Michigan
Taught by: Christopher Brooks
Completed by: Seonaid Lee by March 13, 2019