Learn R

Learn one of the fastest growing tools used for data analysis. This course will walk you through basic concepts of R programming, giving you solid foundation for advanced learning.

Program I: Getting started with R programming [Duration: 20 Hours]

COURSE CONTENT
  • Introduction to ‘R’ Programming Interfaces : R console and R studio
  • Understanding data types, reading data in R, data manipulation techniques
  • Debugging in R
  • Data Exploration
  • Data Visualization

Program II: Statistical Modelling using R [Duration: 42 Hours]

Pre-requisites: Basic Statistics Concepts
COURSE CONTENT:
  • PROGRAME I
  • Advanced visualization techniques
  • Probability Distribution
  • Test of hypothesis
  • ANOVA
  • Predictive modelling basics
  • Introduction to CARET package
  • Variable selection method
  • Supervised learning
  • Unsupervised Learning
  • Introduction to Time Series Forecasting
BONUS MATERIAL:
  • Importing and exporting data to SAS,SPSS, databases
  • SQL in R
  • Overview to databases and SQL overview

Program III: Machine Learning using R [Duration: 52 Hours]

Pre-requisites: Statistics and predictive modelling Concepts
COURSE CONTENT:
  • PROGRAME I + PROGRAME II
  • Adv. Imputation techniques
  • Factor analysis
  • Classification, Regression And Clustering
  • Naive bias
  • Ensemble Model: Random forest
  • Neural network
  • Support Vector Machine
  • Hierarchical Clustering
  • Gradient Boosting

Program IV: Data Science using R [Duration: 57 Hours]

Pre-requisites: Statistics and predictive modelling Concepts
COURSE CONTENT:
  • PROGRAME I + PROGRAME II + PROGRAME III
  • Advanced data manipulation techniques
  • Advanced data exploration techniques
  • SUPERVISED AND UNSUPERVISED LEARNING METHODS
  • Generalized liner model : Poisson Regression
  • Reading Weblog Data
  • Text mining and sentiment analysis
  • Interactive R app

Testimonials

I am so pleased that I chose Data Science lab as the kind of attention and support being provided here would not have been possible elsewhere. Ms. Preeti Pandhu is an excellent teacher and a great mentor. The knowledge and guidance I am receiving here is priceless. It has been a wonderful experience so far. I am extremely thankful to her for all the hard work and dedication.

- Dhaval Popat (ICICI Bank)

Testimonials

I am studying "Be Data Smart" course in Data Science Lab. Preeti is an ideal trainer who pays attention to each and every doubt and endeavors to clear them immediately. She pays individual attention and makes sure to proceed ahead with the course only when the student completely assimilates the content. With her I am assured that I will learn both R and Statistics and also learn the means to apply statistics through R to solve complex business problems.

- Kaustuv Baral (KPIT Technologies)

Testimonials

Many thanks to Preeti for designing a wonderful course on Data Science which is not only perfect for experienced professionals but also equally good for people who want to venture into this field. Being an experienced Data warehousing professional I found the course meeting all my learning objectives and is excellent stepping stone towards Analytics which goes hand in hand with DWH. I wish Preeti all the best in all her endeavors.

- Debashish Nath (SAS R&D India)