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Skills track:
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Learn how to translate numbers into plain English for businesses, whether it’s sales figures, market research, logistics, or transportation costs get the most of your data.
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Learn how to combine statistical and machine learning techniques with R programming to analyze and interpret complex data.
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Learn how to ensure portfolios are risk balanced, help find new trading opportunities, and evaluate asset prices using mathematical models.
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Skills track:
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Communicate the most important features of your data by creating beautiful visualizations using ggplot2 and base R graphics.
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Learn how to parse data in any format. Whether it’s flat files, statistical software, databases, or web data, you’ll learn to handle it all.
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Learn key statistical concepts and techniques like exploratory data analysis, correlation, regression, and inference.
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Apply your R skills to financial data, including bond valuation, financial trading, and portfolio analysis.
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Individual courses:
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Machine Learning Toolbox (by Zachary Deane-Mayer, DataRobot & caret, and Max Kuhn, Pfizer Global R&D & caret)
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Unsupervised Learning in R (Hank Roark data scientist at Boeing)
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Case Study: Bag of Words (Ted Kwartler, Liberty Mutual)
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Writing Functions in R (Hadley Wickham, RStudio)
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Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.