A specialization that consists of 5 courses provided by University of Michigan on Coursera. The specialization introduces 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.
Level: Intermediate
- Course 1: Introduction to Data Science in Python
- Course 2: Applied Plotting, Charting & Data Representation in Python
- Course 3: Applied Machine Learning in Python
- Course 4: Applied Text Mining in Python
- Course 5: Applied Social Network Analysis in Python
- Lectures of the instructor
- Files added by the instructor (csv, xls, etc..)
- Codes and notebooks added by the instructor
- My own codes while applying skills (format: 'AsmaaXXXX.py')
- My brief notes during the courses (Very poor since courses are code-based)
Most of notes in notes document are copied from the lectures, my own notes are added as comment lines between /* */ so they may contain incorrect info
University of Michigan - Applied Data Science with Python Specialization