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
Who Should Attend?
Job Prospects
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'.