Description

R is a programming language and software environment for statistical analysis, graphics representation and reporting.R is a programming language and environment commonly used in statistical computing, data analytics and scientific research.R allows us to integrate with other languages (C, C ). Thus, you can easily interact with many data sources and statistical packages. As a result, R programming language has large growing community of users.

Curriculum

Module 1: Advance Time Series Modeling

Box - Jenkins Methodology, Introduction to Auto Regression and Moving Averages, ACF, PACF, Detecting order of ARIMA processes, Seasonal ARIMA Models (P,D,Q)(p,d,q), Introduction to Multivariate Time series Analysis, Using built in R datasets

Module 2: Stock market prediction

Live example/ live project, Using client given stock prices/taking stock price data

Module 3: Pharmaceuticals

Case Study with the Data, Based on open set data

Module 4: Market Research

Case Study with the Data, Based on open set data

Module 5: Machine Learning

Supervised Learning Techniques, Conceptual Overview

Module 6: Machine Learning

Unsupervised Learning Techniques, Association Rule Mining Segmentation, Conceptual Overview

Module 7: Fraud Analytics

Fraud Identification Process in Parts procuring, Sample data from online

Module 8: Text Analytics

Text Analytics, Sample text from online

Module 9: Social Media Analytics

Social Media Analytics, Sample text from online

Learning Outcomes

• Understand the core programming concepts of R language.
• Know the Looping and condition statements in R Programming
• Understand the different options in I/O operations in R programming.
• Understand the importance of statistical functions in R programming language
• Understand the basic concepts of integrating other object oriented programming with R.

Who Should Attend?

• Engineering and IT students
• Graduates with a programming background

Job Prospects

• Data Scientist
• Web Analytics Manager, Data Strategy & Insights
• Associate Data Scientist
• Quantitative Analytics Associate
• System Engineer 

Certification

After completing this course and successfully passing the certification examination, the student will be awarded the “Data Science with R” certification. 

If a learner chooses not to take up the examination, they will still get a 'Participation Certificate'.