Master the basics of data analysis in Python. Expand your data science skill set by learning scientific computing with numpy.
Master the basics of data analysis by manipulating common data structures such as vectors, matrices and data frames.
Continue your journey to become an R ninja by learning about conditional statements, loops, and vector functions.
This course provides a basic introduction to clustering and dimensionality reduction in R from a machine learning perspective.
In this course, you will learn to read CSV, XLS, and text files in R using tools like readxl and data.table.
Learn to train and assess models performing common machine learning tasks such as classification, regression and clustering.
This course will equip you with the skills to analyze, visualize, and make sense of networks using the NetworkX library.
Learn to produce meaningful and beautiful data visualizations with ggplot2 by understanding the grammar of graphics.
Learn how to build and tune predictive models and evaluate how well they will perform on unseen data.
Learn to explore your data so you can properly clean and prepare it for analysis.