Data Scientist with R

4.5 /5

(2 Ratings)

Offered byDataCamp

Data Scientist with R
at
DataCamp
Overview

Gain the career-building R skills you need to succeed as a data scientist

Duration	88 hours
Mode of learning	Online
Schedule type	Self paced
Credential	Certificate

Data Scientist with R
at
DataCamp
Course details

Skills you will learn

Data structures R Statistics Data visualization Data analysis

More about this course

In this track, you?ll learn how this versatile language allows you to import, clean, manipulate, and visualize data?all integral skills for any aspiring data professional or researcher
Through interactive exercises, you?ll get hands-on with some of the most popular R packages, including ggplot2 and tidyverse packages like dplyr and readr
You?ll then work with real-world datasets to learn the statistical and machine learning techniques you need to write your own functions and perform cluster analysis
Master the basics of data analysis by manipulating common data structures such as vectors, matrices, and data frames

Data Scientist with R
at
DataCamp
Curriculum

Introduction to R

Intermediate R

Introduction to the Tidyverse

Data Manipulation with dplyr

Joining Data with dplyr

Introduction to Data Visualization with ggplot2

Data Scientist with R
at
DataCamp
Faculty details

David Robinson

Dave is the Principal Data Scientist at Heap. He has worked as a data scientist at DataCamp and Stack Overflow, and received his PhD in Quantitative and Computational Biology from Princeton University.

Jonathan Cornelissen

Jonathan Cornelissen is one of the co-founders of DataCamp and the initial DataCamp CEO, and is interested in everything related to data science, education and entrepreneurship. He holds a PhD in financial econometrics, and was the original author of an R package for quantitative finance.

Filip Schouwenaars

Filip is the passionate developer behind several of DataCamp's most popular Python, SQL, and R courses. Currently, Filip leads the development of DataCamp Workspace. Under the motto 'Eat your own dog food', he uses the techniques DataCamp teaches its students to understand how users learn on and interact with DataCamp.