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Overview
Context
Master the essential skills to launch your data science career using R, the popular programming language for statistical computing and data analysis. In this Associate Data Scientist in R course offered by Data Camp, you'll learn how to import, clean, manipulate, visualize and model data using R's powerful packages and libraries. Gain hands-on experience with real-world datasets as you progress from the basics of R programming to advanced statistical and machine learning techniques.
Develop a Strong Foundation in R for Data Science
Through interactive exercises and projects, you'll learn to:
- Work with data structures like vectors, lists, and data frames
- Write efficient and reusable R functions
- Wrangle and clean data using the tidyverse collection of packages
- Create compelling visualizations with ggplot2
- Apply statistical concepts like hypothesis testing and regression analysis
- Build and evaluate machine learning models for classification and prediction
Programme Structure
Courses
- Intermediate R
- Tidyverse
- Data Manipulation with dplyr
- Analyze the Popularity of Programming Languages
- Joining Data with dplyr
- Statistics in R
- Data Visualization with ggplot2
- Data Manipulation with R
- Intermediate Regression in R
Key information
Duration
- Part-time
- 11 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- New York City, United States
Disciplines
Data Science & Big Data View 464 other Short Courses in Data Science & Big Data in United StatesWhat students do after studying
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Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- There are no prerequisites for this track
- This track is designed for those who are just starting out with R for data science and want to develop their skills. This track introduces the critical concepts and techniques needed to start utilizing R for data science.
- This track will benefit individuals seeking to take on data science projects, such as data analysts, data engineers, and software developers.
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
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International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
This course can be accessed for free with the Data Camp Premium or Teams subscriptions
Funding
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