2021 R 4.0 Programming for Data Science || Beginners to Pro (Update 6/2021)

DataFrame, Vectors, Matrix, Date, GGplot2, Tidyverse, Plotly, etc.

What you'll learn:

Learn to write a program in R 4.0

Learn fundamentals of R programming

How to use R-Studio

How to analyze the data

How to plot beautiful plots

Real exercise for data analysis

Use for Machine Learning programming

Write code for Linear Regression and Logistic Regression Analysis

Data visualization on real dataset | Covid-19, Boston Housing Price and Titanic dataset

Learn Plotly for Covid-19 Data Analysis

Advanced Plotly in R

Linear Regression in R

Non-Linear and Polynomial Regression

Multiple Simple Linear Regression in R on Boston Housing Price Prediction

Requirements:

Anyone interested to become a Data Scientist or Data Analyst

No prerequisites require

Description:

Are you ready to accept the R Programming Challenge

Want to analyze and get insights from your datasets

This Course is for You!!!

You will learn R programming in a very interactive way. I will be explaining to you each line of code. You do not need any prior experience in coding. Anyone can start learning. We will start with R Programming and R-Studio set up on the computer thereafter I will be teaching you fundamentals of R Programming.

In this course, you learn:

How to install R-Packages

How to work with R-data types

What is R DataFrame, Matrices, Vectors etc.

How to work with DataFrames

How to perform join and merge operations on DataFrames

How to plot data using ggplot2 in R 4.0

Analysis of real-life dataset Covid-19

Who this course is for:

Data Scientist Bners

R Programmers

Data Scientist who codes in R

Data Analyst who codes in R

Data Scientist managers, executives or students




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