Skip to content Skip to sidebar Skip to footer

2021 R 4.0 Programming for Data Science || Beginners to Pro

r-programming-for-data-science-beginners-to-pro

Udemy Coupon - 2021 R 4.0 Programming for Data Science || Beginners to Pro, Learn Latest R 4 with R-Studio & Jupyter. DataFrame, Vectors, Matrix, DateTime, GGplot2, Tidyverse, Plotly, etc.
  • New
  • Created by Laxmi Kant
  • English [Auto]

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

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
This course is in development. 20+ hours of lectures will be added to the course. Kindly, keep checking regularly.
---------------------------
THIS COURSE IS NOT COMPLETE YET. MACHINE LEARNING LECTURES WILL BE UPLOADED IN COUPLE OF WEEKS.
---------------------------
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

100% Off Udemy Coupon . Free Udemy Courses . Online Classes