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Data Science · Year 3 · Data, machine learning and AI
S5 Data and machine learning
Prepare real-world data at scale in Python, then train and evaluate supervised and unsupervised models.
191hours of coursework
20weeks at 10 h
2steps
8new courses
1universities
Target skills
- Collecting, integrating, cleaning and transforming data with pandas
- Exploratory visualization with Matplotlib and Seaborn
- Trees, regressions, SVMs, ensemble methods, cross-validation
- Clustering, dimensionality reduction, introduction to deep learning
Semester project
The Data Wrangling with Python final project, then a complete predictive model on the same data.
Courses this semester
- 1University of Colorado BoulderBeginnerPython, pandas, NumPy, Seaborn
Stated prerequisites: Python fundamentals and statistics
Show the 5 courses
Course Level Length Rating (reviews) Fundamental Tools of Data Wrangling Beginner 27 h 4.3 (22) Data Collection and Integration Intermediate 28 h 4.5 (16) Data Understanding and Visualization Intermediate 25 h — Data Processing and Manipulation Intermediate 29 h — Data Wrangling with Python Project Intermediate 26 h — - 2University of Colorado BoulderIntermediatePython
Show the 3 courses
Course Level Length Rating (reviews) Introduction to Machine Learning: Supervised Learning Intermediate 23 h 4.5 (67) Introduction to Machine Learning: Unsupervised Learning Intermediate 15 h 4.6 (24) Introduction to Deep Learning Intermediate 18 h 4.5 (24)
Reading
Python for Data Analysis, 3rd ed.Wes McKinneyWritten by the creator of pandas: the reference for Data Wrangling with Python.Open access online
An Introduction to Statistical Learning (Python)G. James, D. Witten, T. Hastie, R. Tibshirani, J. TaylorThe reference textbook for statistical machine learning; each chapter has a Python lab.Free PDF
Mathematics for Machine LearningM. P. Deisenroth, A. A. Faisal, C. S. OngLinear regression, PCA, Gaussian mixtures and SVMs, using the mathematics from year 1.Free PDF
Things to watch
- Machine Learning: Theory and Hands-on Practice has only 84 reviews: use ISLP if anything remains unclear.
With Coursera Plus
This semester takes 191 hours, about 4 months at 10 hours a week. A Coursera Plus subscription gives access to most of its courses during that time.