Programming for Data Science with R

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Programming for Data Science with R provided by Udacity is a comprehensive online course, which lasts for 13 weeks long, 10 hours a week. Programming for Data Science with R is taught by Josh Bernhard , Derek Steer, Juno Lee , Richard Kalehoff and Karl Krueger. Upon completion of the course, you can receive an e-certificate from Udacity. The course is taught in Englishand is Paid Course. Visit the course page at Udacity for detailed price information.

Overview
  • In this program, you’ll learn the most valuable programming tools and languages used by data scientists today. You’ll learn how to manipulate large datasets, perform version control, and access modern databases. You’ll be programming with R, one of the most popular programming languages used by Data Scientists today. This program is an ideal way to launch a career in data, and for experienced analysts, it’s an excellent opportunity to augment your existing skill set with in-demand programming skills.
    Prepare for a data science career by learning the fundamental data programming tools: R, SQL, command line, and git.

Syllabus
    • Introduction to SQL
      • Learn SQL fundamentals such as JOINs, Aggregations, and Subqueries. Learn how to use SQL to answer complex business problems.
    • Introduction to R Programming
      • Learn R programming fundamentals such as data structures, variables, loops, and functions. Learn to visualize data in the popular data visualization library ggplot2.
    • Introduction to Version Control
      • Learn how to use version control and share your work with other people in the data science industry.