Associate Professor
2 Learning Experiences
Applied Data Science with Python
What You'll Learn
- Conduct an inferential statistical analysis
- Enhance a data analysis with applied machine learning
- Discern whether a data visualization is good or bad
- Analyze the connectivity of a social network
5-Course Series
20 weeks
28 hours per course (approx.)
Shareable Certificate
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About Applied Data Science with Python
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.
Skills You'll Gain
- Statistical Graphics
- Data Cleansing
- Machine Learning
- Python For Data Analysis
- Data Mining
- Data Visualization
- Graphing
- Matplotlib (Python Package)
- Text Processing
- Network Analysis
- Python (Programming Language)
- Pandas (Python Package)
- Text Mining
- Data Presentation
- Text Classification
What You'll Earn
- Certificate of Completion
- Certificates of completion acknowledge knowledge acquired upon completion of a non-credit course or program.
Associate Professor of Information
9 Learning Experiences
Associate Professor
2 Learning Experiences
Associate Professor
3 Learning Experiences
Intermediate Level
Some related experience required.
5 Courses in this series
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Free U-M Access CourseIntroduction to Data Science in Python
Learn Python basics and explore data manipulation using Pandas to clean, analyze, and visualize tabular data.
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Free U-M Access CourseApplied Plotting, Charting & Data Representation in Python
Learn to create meaningful data visualizations in Python using matplotlib and design principles for clarity and insight.
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Free U-M Access CourseApplied Machine Learning in Python
Apply machine learning techniques in Python to build, validate, and optimize predictive models using scikit-learn.
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Free U-M Access CourseApplied Text Mining in Python
Master text cleaning, classification, and topic modeling using Python and NLP to extract meaning from large text datasets.
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Free U-M Access CourseApplied Social Network Analysis in Python
Explore networks and connections using Python’s NetworkX library to measure centrality, evolution, and structure in social systems.
What Learners Are Saying
The set of courses were great, quite amazing, and highly informative with super excellent and challenging assignments and projects that introduced me to data science and python programming.
Kennedy Kamande Wangari Learner in Kenya
I've really enjoyed taking these courses and I've learned a lot of things since a year. I paced my learning with these courses and specializations during the COVID-19 period in lockdown. These courses really helped my enhancing my skills and increasing my knowledge.
Ataib Saboor Learner in Pakistan
