DATA 301 Introduction to Data Science Notes Intro Introduction to Notebooks and Google Colab Quiz 1 Tabular Data Rows and Observational Units Columns and Variables Lecture 1: Introduction to Tabular Data Quiz 2 Summarizing One Categorical Variable Summarizing Two Categorical Variables Lecture 2: Categorical Variables Quiz 3 Multi Way Tables and Simpson's Paradox Summarizing a Quantitative Variable Lecture 3A: Multi-way Tables and Simpson's Paradox Lecture 3B: Summarizing a Quantitative Variable Quiz 4 Transforming Variables Summarizing Two Quantitative Variables Lecture 4: Quantitative Variables Quiz 5 Split-Apply-Combine Moving Beyond Two Variables Lecture 5: Split-Apply-Combine and Summarizing Categorical and Quantitative Variables Quiz 6 The Grammar of Graphics Lecture 6: Data Visualization Quiz 7 Distances between Observations Lecture 7: Distances Between Observations Quiz 8 Hierarchical Data and JSON Lecture 8: Hierarchical Data and JSON Data Format Quiz 9 The XML Data Format HTML and Web Scraping Lecture 09: XML, HTML, and Web Scraping Quiz 10 Bag of Words and N-Grams The Vector Space Model Lecture 10: Intro to Text Data Quiz 11 Concatenating and Merging Data Types of Joins Lecture 11: Concatenating and Merging (Joining) Data Solutions Quiz 12 Linear Regression Categorical Features in Regression Models Lecture 12: Linear Regression Quiz 13 K-Nearest Neighbors for Regression Lecture 13: K-Nearest Neighbors for Regression Quiz 14 Training and Test Errors Estimating the Test Error Lecture 14: Training and Test Errors Quiz 15 Model Selection and Hyperparameter Tuning Lecture 15: Model Selection and Hyperparameter Tuning Quiz 16 Ensemble Models for Regression Lecture 16: Ensemble Models for Regression Quiz 17 K-Nearest Neighbors for Classification Evaluating Classification Models Lecture 17: K-Nearest Neighbors for Classification Quiz 18 Estimating Test Metrics for Classification Models Lecture 18: Estimating Test Metrics for Classification Quiz 19 Time Series Data Time Series Modeling and Forecasting Lecture 19: Time Series Quiz 20 K Means Clustering Lecture 20: Unsupervised Learning - K Means Clustering Quiz 21 Hierarchical Clustering Lecture 21: Hierarchical Clustering Assignments Assignment 1 PDF Assignment 2A PDF Assignment 2B PDF Assignment 3 PDF Assignment 4 PDF Assignment 5A PDF Assignment 5B PDF Assignment 6 Day 16 PDF Day 18 PDF Project Phase 2 Collect and Clean Notebook Visualizations Executive Summary Notebook