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Try Python

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From Code School: “Explore the basics of Python and learn what it means to store and manipulate numbers and words as well as make decisions with your program. Course Overview: Birds & Coconuts: Get started with Python by calculating how many swallows it takes to carry a coconut. Spam & Strings: Learn how to store characters in a string to combine, dissect, and slice words. Conditional Rules of Engagement: Explore … Continue Reading

DataCamp – Data Visualization in R with lattice

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From DataCamp: “Visualization is an essential component of interactive data analysis in R. Traditional (base) graphics is powerful, but limited in its ability to deal with multivariate data. Trellis graphics is the natural successor to traditional graphics, extending its simple philosophy to gracefully handle common multivariable data visualization tasks. This course introduces the lattice package, which implements Trellis graphics for R, and illustrates its basic use.” This course consists of five … Continue Reading

DataCamp – Visualizing Time Series Data in R

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From DataCamp: “As the saying goes, ‘A chart is worth a thousand words’. This is why visualization is the most used and powerful way to get a better understanding of your data. After this course you will have a very good overview of R time series visualisation capabilities and you will be able to better decide which model to choose for subsequent analysis. You will be able to also convey the … Continue Reading

DataCamp – Exploring Pitch Data with R

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From DataCamp: “This course is a case study in baseball analytics, exploratory data analysis, and the R language. It introduces a rich baseball dataset from Major League Baseball’s (MLB) Statcast system to develop skills in baseball analytics using the R language. Throughout the course, you will use data on every pitch thrown by Zack Greinke during the 2015 MLB season. These data include information about pitch velocity, pitch type, pitch location, … Continue Reading

DataCamp – Intermediate Portfolio Analysis in R

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From DataCamp: “This course builds on the fundamental concepts from Introduction to Portfolio Analysis in R and explores advanced concepts in the portfolio optimization process. It is critical for an analyst or portfolio manager to understand all aspects of the portfolio optimization problem to make informed decisions. In this course, you will learn a quantitative approach to apply the principles of modern portfolio theory to specify a portfolio, define constraints and … Continue Reading

DataCamp – Manipulating Time Series Data in R: Case Studies

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This course builds on Manipulating Time Series Data in R with xts & zoo using new exercises and interesting datasets.

DataCamp – Object-Oriented Programming in R: S3 and R6

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From DataCamp: “Object-oriented programming (OOP) lets you specify relationships between functions and the objects that they can act on, helping you manage complexity in your code. This is an intermediate level course, providing an introduction to OOP, using the S3 and R6 systems. S3 is a great day-to-day R programming tool that simplifies some of the functions that you write. R6 is especially useful for industry-specific analyses, working with web APIs, … Continue Reading

DataCamp – Bond Valuation and Analysis in R

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From DataCamp: “After this course on quantitative finance with R, you will be able to use R to develop a model to value a fixed interest rate bond, estimate and analyze a bond’s yield (i.e., a measure of the opportunity cost of bond investors), and model techniques used to protect bond portfolios from changes in interest rates. Why value bonds? Bonds are securities issued by governments or corporations that pay interest … Continue Reading

DataCamp – Data Visualization in R with ggvis

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From DataCamp: “In our ggvis data visualization course, you will learn how to create static and interactive graphs to display distributions, relationships, model fits, and more. The first part of the course will focus on how to think conceptually about data visualizations using the theory behind the grammar of graphics. Next, you will dive into the syntax of the R graphics package ggvis. Step-by-step, you’ll learn how to create clear R … Continue Reading

DataCamp – Introduction to Portfolio Analysis in R

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From DataCamp: “A golden rule in investing is to always test the portfolio strategy on historical data, and, once you are trading the strategy, to constantly monitor its performance. In this course, you will learn this by critically analyzing portfolio returns using the package PerformanceAnalytics. The course also shows how to estimate the portfolio weights that optimally balance risk and return. This is a data-driven course that combines portfolio theory with … Continue Reading