This module introduces students to the fundamentals of importing and working with datasets in Python. Students will learn about essential Python packages for data science, techniques for importing and exporting data in various formats, and methods for connecting to databases to access data. The module provides a foundation for working with real-world datasets in Python.

Skills you'll gain

This module focuses on preparing and cleaning data for analysis in Python. Students will learn techniques for handling missing values, formatting data correctly, normalizing data distributions, implementing binning strategies, and converting categorical variables into quantitative measures. The module includes hands-on labs with real-world pricing datasets to apply these techniques.

Skills you'll gain

This module teaches techniques for understanding and summarizing datasets prior to formal modeling. Students will learn to calculate descriptive statistics, group data for aggregate analysis, identify correlations between variables, and apply statistical methods to quantify relationships. The module includes practical labs using car and laptop pricing datasets to develop exploratory analysis skills.

Skills you'll gain

This module covers the fundamental techniques for developing predictive models with Python. Students will learn linear regression, multiple linear regression, model evaluation through visualization, polynomial regression with pipelines, and various measures for assessing model performance. The module culminates with practical applications for prediction and decision-making using real-world pricing datasets.

Skills you'll gain

This module focuses on refining and improving predictive models in Python. Students will learn to identify and address overfitting and underfitting problems, implement ridge regression for regularization, and use grid search techniques to optimize model parameters. The module includes hands-on labs with pricing datasets to practice model evaluation and refinement strategies.

Skills you'll gain

This capstone module brings together all concepts from previous modules in a comprehensive final project. Students will apply data analysis techniques to a house pricing dataset, completing a hands-on lab that demonstrates their mastery of the course material. The module includes peer review components, a cheat sheet for Python data analysis, final exam, and course completion activities.

Skills you'll gain