Data Science with R
Pluralsight
Course Summary
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.
-
+
Course Description
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 Syllabus
Course Overview- 1m 28s
—Course Overview 1m 28sIntroduction to Data Science- 12m 9s
—Introduction 2m 22s
—Course Overview 2m 32s
—Introduction to Data Science 6m 41s
—Summary 0m 33sIntroduction to R- 23m 6sWorking with Data- 22m 17sCreating Descriptive Statistics- 9m 53sCreating Data Visualizations- 9m 53sCreating Statistical Models- 13m 58sHandling Big Data- 16m 58sPredicting with Machine Learning- 21m 17sDeploying to Production- 19m 51s