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Programming Languages

## Overview

This course provides an overview of Data Science and how R language with its methods and functions constitutes a primary tool to become a Data Scientist. The course presents the Data Science process. Then, it explains how to use various R methods and functions to analyze data.

It shows how to install R and R Studio as a start, then it presents topics on R data types, variable assignment, arithmetic operations, vectors, matrices, factors, data frames and lists. Besides, it includes topics on operators, conditionals, loops, functions, and packages. It also covers regular expressions, getting and cleaning data, plotting, and data manipulation using the dplyr package.

The ever-increasing size of data globally coupled with the prominent need to extract insightful information out of it necessitate learning analytical programming languages such as R. This course paves the road for beginners to start using R in real life analysis tasks and research projects to enable a fact-based decision-making process.

## Who this course is for

Professionals and academics who aspire to use R Language as part of their Data Analysis and Data Science tasks.

## Testimonials

Dhanalakshmi GRamon J## What you'll learn

## Requirements

## Course Content

24 Sections 115 Lectures 6h 14m total length

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