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Course Overview

Lesson 1 of 16 • 31 upvotes • 2:34mins

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Rohit Kumar Singh

R is rapidly becoming the leading language in data science and statistics. Today, R is the tool of choice for data science professionals in every industry and field. Whether you are full-time number cruncher, or just the occasional data analyst, R will suit your needs. This introduction to R programming course will help you master the basics of R. In 15 lectures, we will cover its basic syntax, making you ready to undertake your own first data analysis using R. Starting from variables and basic operations, you will eventually learn how to handle data structures such as vectors, matrices, data frames and lists. In the final section, you will dive deeper into the graphical capabilities of R, and create your own stunning data visualizations. No prior knowledge in programming or data science is required.

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1

Course Overview

2:34mins

2

Basic Building Blocks

9:44mins

3

Workspace and Files

8:23mins

4

Sequences and Numbers

6:12mins

5

Vectors

9:53mins

6

Missing Values

5:35mins

7

Subsetting Vectors

11:32mins

8

Matrices and Data Frames

8:19mins

9

Logic

9:39mins

10

Functions

11:36mins

11

Lapply and Sapply

9:05mins

12

Vapply and Tapply

9:08mins

13

Looking at Data

9:20mins

14

Simulation

9:49mins

15

Date and Time in R

8:31mins

16

Base Graphics

10:57mins

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