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  • Author: kityvn
  • Date: 28-09-2015, 10:07
28-09-2015, 10:07

R - Business Analytics Using R Programming

Category: Tutorials



Use the R Programming to execute Business analytic, Data Science, Data Mining, Statistics Projects

This course ensure quick learning in a simplified way. It explains the most important aspects of working on data and conduct analysis through example. You will start by learning how to install and navigate R studio. Learn Data/Object Types and Operations, Importing into R, and Loops and Conditions. you will be introduced to the use of R in Analytics, where you will learn a little about each object type in R and use that in Data Mining/Analytical Operations. learn the use of R in Statistics, using R to evaluate Descriptive Statistics, Probability Distributions, Hypothesis Testing, Linear Modeling, Generalized Linear Models, Non-Linear Regression, and Trees. Learn to create 2-dimensional Univariate and Multi-variate plots. You will also learn about formatting various parts of a plot, covering a range of topics like Plot Layout, Region, Points, Lines, Axes, Text, Color and so on. If you want to learn R for use in data analytics, statistics and data science, you can count on this course to take you from beginner to an advanced level. Start off with the basics of R and dive deep into how to use R for statistics, vector arithmetic, generating regular sequences, logical filters, and more. Data is useless if you do not have the right tools to build informative graphs. Plots need to be understood easily while being accurate at the same time. R Programming for Business Analytic offers a variety of plotting devices, some of them are whole systems which need to be learned like a new language.

What are the requirements?

computer skills required to install R, R studio and run commands seeing it on video
A Computer with high speed internet
Basic proficiency in statistics - probability distributions, linear modeling, etc
Basic proficiency in math - vectors, matrices, algebra

What am I going to get from this course?

Over 115 lectures and 16 hours of content!
Accurately interpret statistical data
Learn about the basic structure of R including packages
Conduct Frequency Distribution Analysis / Univariate Analysis in R
learn how to perform basic commands in the R programming language
Manipulate data with ease
Design beautiful graphs
learning of R through practice

What is the target audience?

Web developers who want to implement data analysis features in their webpage
Anyone interested in Data Mining, Statistics, Data Visualization
Researchers who perform data analysis including graphs
Enterprise Data Analysts and Students

R - Business Analytics Using R Programming



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