#Basic data science course how to

HarvardX requires individuals who enroll in its courses on edX to abide by the terms of the edX honor code. The demand for skilled data science practitioners is rapidly growing, and this series prepares you to tackle real-world data analysis challenges. We help you develop a skill set that includes R programming, data wrangling with dplyr, data visualization with ggplot2, file organization with UNIX/Linux, version control with git and GitHub, and reproducible document preparation with RStudio. Rather than covering every R skill you might need, you'll build a strong foundation to prepare you for the more in-depth courses later in the series, where we cover concepts like probability, inference, regression, and machine learning.

#Basic data science course how to

You'll learn how to apply general programming features like 'if-else,' and 'for loop' commands, and how to wrangle, analyze and visualize data. We'll cover R's functions and data types, then tackle how to operate on vectors and when to use advanced functions like sorting. You will learn the R skills needed to answer essential questions about differences in crime across the different states.

You can better retain R when you learn it to solve a specific problem, so you'll use a real-world dataset about crime in the United States. The first in our Professional Certificate Program in Data Science, this course will introduce you to the basics of R programming.