Learn how to solve real-world business problems using data science and R.

**Description**

Data science is the practice of transforming data into knowledge. R is the most popular programming language used by data scientists. In our data-driven economy, this combination of skills is in extremely high demand, commanding significant increases in salary, as it is revolutionizing the world around us.

In this workshop, we’ll learn about the practice of data science, the R programming language, and how they can be used to transform data into actionable insight. In addition, we’ll learn how to transform and clean our data, create and interpret descriptive statistics, data visualizations, and statistical models. We’ll also learn how to handle Big Data, make predictions using machine learning algorithms, and deploy R to production.

**Documents**

**Labs**

Lab 0 – Hello World | A | ||

Lab 1 – R Language Basics | A | ||

Lab 2 – Working with Data | A | B | |

Lab 3 – Descriptive Statistics | A | B | |

Lab 4 – Data Visualization | A | B | |

Lab 5 – Statistical Modeling | A | B | |

Lab 6 – Handling Big Data | A | ||

Lab 7 – Machine Learning | A | B | |

Lab 8 – R in Practice | A |