Course Details

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. 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

This program is brought to you by Praxis B school

The course is designed to enable the candidates to be responsible for business analytics, building data products and software platforms, along with developing visualizations and machine learning algorithms.