Data Science with R 2019 - Introduction to Data Science with R - Simpliv

About this Course
This course introduces R programming environment as a way to have hands-on experience with Data Science. It starts with a few basic examples in R before moving onto doing statistical processing. The course then introduces Machine Learning with techniques such as regression, classification, clustering, and density estimation, in order to solve various data problems.
Basic knowledge
This course is for beginners, but it helps to have some basic understanding of statistics (mean, median, scatter plot) and preliminary knowledge of any programming. The course also assumes that you know how to download and install various programs/apps, and you are able to edit and debug simple programs
What you will learn
Writing simple R programs to do basic mathematical and logical operations
Loading structured data in a R environment for processing
Creating descriptive statistics and visualizations
Finding correlations among numerical variables
Using regression analysis to predict the value of a continuous variable
Building classification models to organize data into pre-determined classes
Organizing given data into meaningful clusters
Applying basic machine learning techniques for solving various data problems
Contact Us:
simplivllc-AT-gmail.com
Phone: 76760-08458
Email: sudheer-AT-simpliv.com
Phone: 9538055093
To read more and register: https://www.simpliv.com/machinelearning/introducti...