Business Analytics training using R – Professional is a four-day instructor-led classroom course using R software. The course is designed for professionals who aspire to develop hands-on and practical understanding in the area of data analytics. Some of the key topics covered are fundamentals of R programing, building data analytics models using linear and nonlinear techniques, classification techniques, clustering techniques, text analytics and social media analytics. All scenarios taught are illustrated and walked through using relevant business cases.

Prerequisites

An interest and flair for numbers

Willingness to learn statistics and scripting

Who should attend?

Working professionals who are interested in upskilling or reskilling in the area of analytics

Aspirants from Science, management, engineering, economics or commerce backgrounds who wish to pursue a career in data analytics

Aspirants from Science, management, engineering, economics or commerce backgrounds who wish to pursue a career in data analytics

You do not need any prior experience in data analysis to attend this course. Awareness of programming is also required to participate in this course. The instructors will hand hold you through the fundamentals of R scripting and expose you to the world of analytics, taking you to a stage where you will be equipped to explore advanced analytical concepts.


Course Outcomes

Working knowledge in data analytics with hands-on R experience

Skills required to build data models using supervised and unsupervised methods

Insights on deriving hidden information from voluminous and complex data

Certification of completion on successfully completing the course requirements

Course content


Understanding Business Analytics


Importance of data in business


Framework of business analytics


Basics of R programming


Basics of R


Introduction to R libraries


Data structures and data types in R


Operators, control structures and functions in R


Data cleaning


Reading data


Cleaning and preprocessing data


Data visualisation


Charts and exploratory graphs


Plots using ggplot2


Modelling techniques


Supervised learning

Random Forest classification

Simple Linear Regression

Multiple Linear Regression

Binary Logistic Regression

K Nearest Neighbor (KNN)

Unsupervised learning

Clustering techniques – K means clustering

Association Rule Learning - Apriori

Text analytics


Social media analysis


Duration: Four days


Training locations: Bengaluru, Delhi, Mumbai, Pune, Hyderabad,Kolkata, Chennai


Enroll Now


Call us : +91 9061 342 432 (Raynette Furtado)


Mail us : in-fmdxtraining@kpmg.com

https://home.kpmg.com/in