Applied Data Science with Python Specialization, University of Michigan

Gain new insights into your data . Learn to apply data science methods and techniques, and acquire analysis skills.

About this Specialization

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.

1. Introduction to Data Science in Python:
2. Applied Plotting, Charting & Data Representation in Python
3. Applied Machine Learning in Python ken in any order.
4. Applied Text Mining in Python
5. Applied Social Network Analysis in Python

WHAT I LEARNED:

1. Analyze the connectivity of a social network
2. Conduct an inferential statistical analysis
3. Discern whether a data visualization is good or bad
4. Enhance a data analysis with applied machine learning

SKILLS GAINED:

• Text Mining
• Python Programming
• Pandas
• Matplotlib