Udacity Launches Programming for Data Science: R and Python Nanodegree Program

Udacity, the Silicon Valley-based lifelong learning platform, has announced the release of a new R Programming track within its popular Programming for Data Science Nanodegree program. With this, students will now be able to choose to learn either Python or R as they delve into the area of data science during the program. Both the Python and R tracks also include courses on SQL, Command Line, and GitHub.

Udacity’s Data Science track begins with programming as it’s an essential skill for most data science and analytics roles. By enrolling for this program, students will get up to speed on the top programming tools and languages used by data scientists today. These skills will allow them to work with and manipulate large datasets, perform version control, and access modern databases. This course offers the perfect avenue to individuals looking to get started on a data science career, or for experienced analysts who want to ramp up on these in-demand tools.

Ishan Gupta, Managing Director, Udacity India, commented, “The Programming for Data Science Nanodegree program offers students the opportunity to learn the most important programming languages used by data scientists today. With the updated curriculum for the Nanodegree, students will get the perfect start into the fascinating field of data science, learning R, Python, and SQL, among others, under the guidance of experienced instructors.”

Sam Nelson, Head of School of Data Science, Udacity said, ”Udacity is excited to announce the release of a new R Programming track within the popular Programming for Data Science Nanodegree program. In terms of popularity in the data science field, R and Python dwarf most other programming languages”

As part of the Nanodegree program, students will have access to weekly live sessions and a dedicated personal mentor, along with a personalised learning plan for a well-rounded and immersive learning experience. They will also have the opportunity to draw inspiration and knowledge from the student community and stay on track with the support of the mentor network directly in the classroom when in need of guidance on specific challenges or projects. They will also have the chance to receive critical guidance on different career options and the insights necessary to capitalise on the potential job opportunities upon the completion of the course.”