Programming for Data Science with R

Via Udacity Nanodegree

Udacity Nanodegree based on 51 ratings

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Overview

Programming for Data Science with Râ is a comprehensive course designed to introduce learners to the R programming language and its powerful applications in data science. Ideal for beginners and professionals looking to build or enhance their data analysis skills, this course covers fundamental programming concepts alongside practical data science techniques using R. Starting with the basics, youâll learn R syntax, data structures, and functions, enabling you to manipulate and clean data efficiently. The course then delves into data visualization...

Syllabus

Welcome to the Nanodegree

This is an overview of several courses on data analysis and programming. In the SQL course, students learn to use SQL to answer complex business problems, including basic commands, joins, and aggregations. In the Python course, students learn programming fundamentals and use libraries like NumPy and Pandas to work with data. The version control course teaches students to use Git and GitHub to manage versions of programs and collaborate with others. These courses include practical projects where students use their skills to analyze real data.

Introduction to SQL

Learn SQL language fundamentals such as building basic queries and advanced functions like Window Functions, Subqueries and Common Table Expressions.

Introduction to R Programming

In this course, youll learn to represent and store data using R data types and variables, and use conditionals and loops to control the flow of your programs. Youll harness the power of complex data structures like lists, sets, dictionaries, and tuples to store collections of related data. Youll define and document your own custom functions, write scripts, and handle errors. You will also learn to use two powerful R libraries - Numpy, a scientific computing package, and Pandas, a data manipulation package.

Command Line Essentials

The Unix shell is a powerful tool for developers of all sorts. In this lesson, you'll get a quick introduction to the very basics of using it on your own computer.