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2021 R 4.0 Programming for Data Science || Beginners to Pro (Update 6/2021) - Panter - 23.07.2021 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 Homepage Code: https://www.udemy.com/course/r-programming-for-data-science-beginners-to-pro/ Download from Nitroflare: Download from Rapidgator: |