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.
Introduction to Data Science in Python (course 1), Applied Plotting, Charting & Data Representation in Python (course 2), and Applied Machine Learning in Python (course 3) should be taken in order and prior to any other course in the specialization. After completing those, courses 4 and 5 can be taken in any order. All 5 are required to earn a certificate.
Course Link: Applied Data Science with Python Specialization
The courses enlisted as follows:
- C1-Introduction to Data Science in Python
- C2-Applied Plotting, Charting & Data Representation in Python
- C3-Applied Machine Learning in Python
- C4-Applied Text Mining in Python
- C5-Applied Social Network Analysis in Python
- Learn in-demand skills from university and industry experts
- Master a subject or tool with hands-on projects
- Develop a deep understanding of key concepts
- Earn a career certificate from University of Michigan
Tools: Jupyter / JupyterLab, Text Mining
Libraries: Pandas, NumPy, Matplotlib
Projects: Applied Data Science with Python Specialization
Total Hours: ~160 Hrs(4 months at 10 hours a week)
