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2021 R 4.0 Programming for Data Science || Beginners to Pro (Update 6/2021)
Last Update: 6/2021
Duration: 14h 16m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 5.45 GB
Genre: eLearning | Language: English

Learn Latest R 4 with R-Studio & Jupyter. DataFrame, Vectors, Matrix, DateTime, 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 Beginners
R Programmers
Data Scientist who codes in R
Data Analyst who codes in R
Data Scientist managers, executives or students

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