Chapter 1: Laying the Foundation for Reproducible Data Analysis Introduction Chapter 2: Creating Attractive Data Visualizations Chapter 3: Statistical Data Analysis and Probability Chapter 4: Dealing with Data and Numerical Issues Chapter 5: Web Mining, Databases, and Big Data Chapter 6: Signal Processing and Timeseries Chapter 7: Selecting Stocks with Financial Data Analysis Chapter 8: Text Mining and Social Network Analysis Chapter 9: Ensemble Learning and Dimensionality Reduction Chapter 10: Evaluating Classifiers, Regressors, and Clusters Chapter 11: Analyzing Images Chapter 12: Parallelism and Performance