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Skills track:

• Data Analyst with R

  • 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.

• Data Scientist with R

  • Learn how to combine statistical and machine learning techniques with R programming to analyze and interpret complex data.

• Quantitative Analyst with R

  • Learn how to ensure portfolios are risk balanced, help find new trading opportunities, and evaluate asset prices using mathematical models.

Skills track:

• Data Visualization in R

  • Communicate the most important features of your data by creating beautiful visualizations using ggplot2 and base R graphics.

• Importing and Cleaning Data

  • 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.

• Statistics with R

  • Learn key statistical concepts and techniques like exploratory data analysis, correlation, regression, and inference.

• Applied Finance

  • Apply your R skills to financial data, including bond valuation, financial trading, and portfolio analysis.

Individual courses:

• Machine Learning Toolbox (by Zachary Deane-Mayer, DataRobot & caret, and Max Kuhn, Pfizer Global R&D & caret)

• Unsupervised Learning in R (Hank Roark data scientist at Boeing)

• Case Study: Bag of Words (Ted Kwartler, Liberty Mutual)

• Writing Functions in R (Hadley Wickham, RStudio)

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