Data Science with R

Data science is becoming more and more valuable to the workplace and to the global economy. Learn how to use the practice of data science and the programming language R to transform your data into actionable insight.

Data science is the practice of transforming data into knowledge, and R is one of the most popular programming language used by data scientists. In a data-driven economy, this combination of skills is in extremely high demand, commanding significant increases in salary, as it is revolutionizing the world. In this course, Data Science with R, you'll learn first learn about the practice of data science, the R programming language, and how they can be used to transform data into actionable insight. Next, you'll learn how to transform and clean your data, create and interpret descriptive statistics, data visualizations, and statistical models. Finally, you'll learn how to handle Big Data, make predictions using machine learning algorithms, and deploy R to production. By the end of this course, you'll have the skills necessary to use R and the principles of data science to transform your data into actionable insight.

• Course Overview 1min
• Introduction to Data Science 12mins
• Introduction to R 23mins
• Working with Data 22mins
• Creating Descriptive Statistics 9mins
• Creating Data Visualizations 9mins
• Creating Statistical Models 13mins
• Handling Big Data 16mins
• Predicting with Machine Learning 21mins
• Deploying to Production 19mins