By Simpliv
Online
Can be taken anytime
Professional Training Course
Yes (Details)
English
$10
Course Overview
Description:
Learn R and get comfortable with data science. Excited by the endless possibilities offered by the fields of data science and data analysis? Let R set you on your way!
Data scientists, statisticians and analysts use R for statistical analysis, data visualization and predictive modeling. R gives aspiring analysts and data scientists the ability to represent complex sets of data in an impressive way. Make yourself comfortable in R and get deep into data science using R with this Learning Path.
Basic knowledge:
Requires no programming knowledge - we're covering basics of R too!
Who should take this course
Anyone interested in becoming a Data Scientist.
Accreditation
Course Completion Certificate.
Course content
What will you learn:
- Get to know the basic concepts of R: the data frame and data manipulation
- Get data from numerous sources such as files, databases, and even Twitter
- Understand how easily R can confront probability and statistics problems
- Work with complex data sets and understand how to process data sets
- Evaluate k-Means, Connectivity, Distribution, and Density-based clustering
- Create professional data visualizations and interactive reports
- Create a codebook so that the data can be presented in summary
About Course Provider
Simpliv LLC, a platform for learning and teaching online courses. We basically focus on online learning which helps to learn business concepts, software technology to develop personal and professional goals through video library by recognized industry experts or trainers.
Why Simpliv
With the ever-evolving industry trends, there is a constant need of the professionally designed learning solutions that deliver key innovations on time and on a budget to achieve long-term success.
Simpliv understands the changing needs and allows the global learners to evaluate their technical abilities by aligning the learnings to key business objectives in order to fill the skills gaps that exist in the various business areas including IT, Marketing, Business Development, and much more.