Advanced Data Science With R

Can be taken anytime
Course Type
Professional Training Course
Course Fee
$180 $161 only

Course Overview

This course will help you learn and master the R language specifically for Advanced Data Science, wherein it is widely used to build methods, processes, and systems to extract knowledge or insights from data in various forms. You can become an Advanced Data Science Expert once you have mastered R - one of the most popular tools for data science.

Who should take this course

This course is designed for the following professionals:

  • Entry to senior level managers
  • Entry to senior level techinical leaders

Course content

Learners are required to complete 10 weeks of faculty led Online mode.

The following are the modules covered:

Big Data 101 - Big Data Characteristics - Big Data and Business - Case Studies - Data Relationships and Data Model - Data Grouping - Clustering Algorithms - Getting ready for Clustering Algorithms - KPIs, Businesses & Data Elements - Mapping for business outcomes - Basic Query - Advanced Query - Embedding

R Programming - R Programming - Introduction to R - I - Introduction to R - II - Common Data Structures in R - Conditional Operation and Loops - Looping in R using Apply Family Functions - Creating User Defined Functions in R - Graphics with R - Advanced Graphics with R

Statistics 101 - Introduction to Statistics - Introduction to Statistics - II - Measures of Central Tendency, Spread and Shape - I - Measures of Central Tendency, Spread and Shape - II - Measures of Central Tendency, Spread and Shape - III

Machine Learning with R - Introduction to R, R Studio and Basic R Operations - Import, Export and Data Manipulation with R - Concept of data structure in R - Concept of Index in R - Creating Boolean index in R based on conditions - Hands on exercise - Understanding Loops in R - Building User functions in R - Basic R Graphics - Understanding data clustering concepts and techniques - Running clustering in R with Silhouette distance measure for cluster validity - Understanding data classification concepts and techniques using decision trees - Model building concepts and techniques - Concepts of Association Rule Mining - Building association rules and interpretation

About Course Provider

361DM is a learning science and digital education-oriented company run by professionals with over 2 decades of experience in the tech-enabled learning industry. 361DM works with corporate, institutions, universities across the world, and has designed and delivered learning programs to over 100000 students and executives in the last decade. We help higher education institutions and corporate organizations architect a robust digital strategy.