Introduction to Data Visualization with Julia
Master data visualization in Julia. Learn how to make stunning plots while understanding when and how to use them.
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Master data visualization in Julia. Learn how to make stunning plots while understanding when and how to use them.
Learn to create animated graphics and linked views entirely in R with plotly.
Master the essential skills of data manipulation in Julia. Learn how to inspect, transform, group, and visualize DataFrames using real-world datasets.
Learn strategies for answering probability questions in R by solving a variety of probability puzzles.
Learn to build simple models of market response to increase the effectiveness of your marketing plans.
Learn mixture models: a convenient and formal statistical framework for probabilistic clustering and classification.
Learn how to write scalable code for working with big data in R using the bigmemory and iotools packages.
Learn to predict labels of nodes in networks using network learning and by extracting descriptive features from the network
Apply fundamental concepts in network analysis to large real-world datasets in 4 different case studies.