Harvard University - Data Science: R Basics
4.7 /5- Offered byedX
Data Science: R Basics at edX Overview
Data Science: R Basics
at edX
Build a foundation in R and learn how to wrangle, analyze, and visualize data.
Duration | 23 hours |
Total fee | Free |
Mode of learning | Online |
Schedule type | Self paced |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Data Science: R Basics at edX Highlights
Data Science: R Basics
at edX
- Earn a certificate of learning on course completion
- Requires effort of 1-2 hours per week
- Get a certificate for Rs. 3758 from Harvard University
- Learn from expert professors of Harvard University
Read more
Data Science: R Basics at edX Course details
Data Science: R Basics
at edX
Skills you will learn
What are the course deliverables?
- Basic R syntax
- Foundational R programming concepts such as data types, vectors arithmetic, and indexing
- How to perform operations in R including sorting, data wrangling using dplyr, and making plots
More about this course
- The first in our Professional Certificate Program in Data Science, this course will introduce you to the basics of R programming. 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. You will learn the R skills needed to answer essential questions about differences in crime across the different states.
- 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'll learn how to apply general programming features like "if-else," and "for loop" commands, and how to wrangle, analyze and visualize data.
- 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. 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.
- The demand for skilled data science practitioners is rapidly growing, and this series prepares you to tackle real-world data analysis challenges.
Data Science: R Basics at edX Curriculum
Data Science: R Basics
at edX
Basic R syntax
Foundational R programming concepts such as data types, vectors arithmetic, and indexing
How to perform operations in R including sorting, data wrangling using dplyr, and making plots
Data Science: R Basics at edX Entry Requirements
Data Science: R Basics
at edX
Eligibility criteria
- An up-to-date browser is recommended to enable programming directly in a browser-based interface.
Conditional Offer
- Not mentioned
Other courses offered by edX
View Other 352 Courses
P
Prajwal Subbhapurmath
Data Science: R Basics
Offered by edX
5
Other: Data science using R language is a very good course offered harvard university on edx platform. It gives a good idea of foundation required for a data science job. The course material is easy ro understand and we can practice on datacamp.
Reviewed on 4 Oct 2021Read More
S
Sambuddha Banerjee
Data Science: R Basics
Offered by edX
4
Other: The online course is an offering from Harvard University. The tutor has broken the entire course into 9 modules with tests after each section followed by a module-level exam.
Course material is based on real-time data sets which help to boost confidence while learning.
Reviewed on 19 Nov 2020Read More
K
Krishnendu Biswas
Data Science: R Basics
Offered by edX
5
Other: Had a good opportunity to learn the basics of R and had professor Rafael Izziddary is great mentor. Moreover the interface of Data camp was really user friendly and encourage people to keep on moving forward to complete the course.
Reviewed on 12 Nov 2019Read More
View All 3 Reviews
Data Science: R Basics
at edX
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