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Course Overview (in Hindi)

Lesson 1 of 16 • 35 upvotes • 5:00mins

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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 (in Hindi)

5:00mins

2

Basic Building Blocks (in Hindi)

13:18mins

3

Workspace and Files (in Hindi)

8:48mins

4

Sequences and Numbers (in Hindi)

7:00mins

5

Vectors (in Hindi)

11:00mins

6

Missing Values (in Hindi)

7:14mins

7

Subsetting Vectors

9:02mins

8

Matrices and Data Frames (in Hindi)

8:09mins

9

Logic (in Hindi)

9:55mins

10

Functions (in Hindi)

10:28mins

11

Lapply and Sapply (in Hindi)

9:10mins

12

Vapply and Tapply (in Hindi)

7:11mins

13

Looking at Data (in Hindi)

8:10mins

14

Simulation (in Hindi)

12:02mins

15

Date and Time (in Hindi)

8:27mins

16

Base Graphics (in Hindi)

11:37mins

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