Reproducible statistical study
Analyse a public health survey in a notebook: description, tests and regression, with careful conclusions.
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Data & AI · 02Intermediate
Python Data Scientist
Learners aiming at applied machine learning with the Python ecosystem.
From the first line of Python to applied machine learning, text mining and network analysis, entirely with the University of Michigan.
412hours of coursework
42weeks at 10 h
4steps
17courses
1universities
Target skills
Python ProgrammingData VisualizationStatistical VisualizationData AnalysisModel EvaluationExploratory Data AnalysisMatplotlibData ManipulationApplied Machine LearningSocial Network AnalysisData ProcessingRestful API
Skill labels as listed on Coursera.
Target jobs
- Data scientist
- Junior machine learning engineer
- NLP analyst
Progression
- 1University of MichiganBeginnerPython, SQL, SQLite
Stated prerequisites: No prerequisites; designed as an on-ramp to programming
Show the 5 courses
Course Level Length Rating (reviews) Programming for Everybody (Getting Started with Python) Beginner 17 h 4.8 (233,775) Python Data Structures Beginner 20 h 4.9 (97,365) Using Python to Access Web Data Beginner 19 h 4.8 (44,591) Using Databases with Python Beginner 14 h 4.8 (21,659) Capstone: Retrieving, Processing, and Visualizing Data with Python Beginner 9 h 4.7 (14,483) - 2University of MichiganBeginnerPython, Jupyter, Matplotlib, NumPy, pandas, Seaborn, Statsmodels
Stated prerequisites: High school algebra; basic Python recommended
Show the 3 courses
Course Level Length Rating (reviews) Understanding and Visualizing Data with Python Beginner 20 h 4.7 (2,741) Inferential Statistical Analysis with Python Intermediate 22 h 4.6 (938) Fitting Statistical Models to Data with Python Intermediate 15 h 4.4 (718) - 3University of MichiganIntermediatePython, pandas, Matplotlib, scikit-learn, NLTK, NetworkX
Stated prerequisites: Basic Python or programming background
Show the 5 courses
Course Level Length Rating (reviews) Introduction to Data Science in Python Intermediate 30 h 4.5 (27,302) Applied Plotting, Charting & Data Representation in Python Intermediate 24 h 4.5 (6,290) Applied Machine Learning in Python Intermediate 32 h 4.6 (8,814) Applied Text Mining in Python Intermediate 25 h 4.2 (3,827) Applied Social Network Analysis in Python Intermediate 26 h 4.6 (2,730) - 4University of MichiganAdvancedPython, scikit-learn, NetworkX, ChatGPT
Stated prerequisites: Intermediate Python programming skills
Show the 4 courses
Course Level Length Rating (reviews) Data Mining in Python Advanced 54 h 4.6 (14) Applied Unsupervised Learning in Python Advanced 30 h — Network Modeling and Analysis in Python Advanced 30 h — Applied Information Extraction in Python Advanced 25 h —
With Coursera Plus
This path takes 412 hours, about 10 months at 10 hours a week. A Coursera Plus subscription gives access to most of its courses during that time.
Projects to build
Predict house prices
Build a scikit-learn model on open property transactions, with cross-validation and feature analysis.
Sentiment analysis
Classify customer reviews as positive or negative, compare two models and explain their errors.
Co-author network
Build a graph from bibliographic data with NetworkX and find the central authors.
Free textbooks
Python for EverybodyCharles R. SeveranceFree, CC BY 4.0
Python for Data Analysis, 3rd ed.Wes McKinneyOpen access online
An Introduction to Statistical Learning (Python)G. James, D. Witten, T. Hastie, R. Tibshirani, J. TaylorFree PDF
Think Stats, 3rd ed.Allen B. DowneyFree, non-commercial Creative Commons licence