HRDF Course - Advanced R Data Analysis Training

This is an extension of the R Statistics Essential Training. R is a software package that provides a language and an environment for data manipulation and statistics calculation. This course will go through some advanced data analysis concepts techniques such as data extraction, data pre-processing, data visualization, data modelling and finally data presentation

Topics include:

• qq plots for data visualization
• download data from file or web
• data analysis using regression
• data analysis using clustering
• data analysis using classification
• shiny for data presentation

Module 1: R Data Analysis Packages

• Data Analysis Components
• Data Analysis Steps
• R Data Analysis Packages

Module 2: Obtaining Data

• Reading Data from CSV file
• Reading Data from Excel file
• Reading Data from JSON file
• Reading Data from XML file
• Reading Data from Web
• Reading Data from APIs

Module 3: Data Preprocessing

• Mutating Data 
• Merging Data
• Reshaping Data
• Missing Data

Module 4: Data Visualization

• Using ggplot

Module 5: Advanced R Functions

• Lapply
• Sapply
• Split
• Mapply

Module 6: Data Modeling: Regression

• Univariate and Multivariate Linear Model Regression
• Polynomial Model Regression
• Generalized Regression Models

Module 7: Data Modeling: Classification & Clustering

• Classification
• Clustering

Module 8: Time Series

• Creating Time Series
• Forecasting

Module 9: Data Presentation (Optional)

• Shiny

Dr Aanand Verma is a Full Stack Data Scientist who once had a torrid love affair with Physics. He has consulted and published in the area of Public Health, Electricity Markets, Telecom, BFSI, Advertising & Communication Strategies and Digital & Social Media Technologies. He has worked on assignments with international agencies such as International Monetary Fund, World Bank, Royal Netherland Embassy etc. besides MNCs like Tata Consultancy Services, Kie Square Consulting and several government organizations of national importance.

He regularly conducts general training programs in Python (Pandas, NumPy, SciPy, Matplotlib, Bokeh), R (dplyr, rstanarm, knitR, ggplot2), Data Visualization (Tableau, D3.js) and Machine Learning (Reinforced Learning, Scikit Learn) and specialized training programs on Structural Equation Modeling and SAP Hana.

He holds a doctorate in Operations Research from Indian Institute of Management Ahmedabad and a post-graduate in Physics from the University of Mumbai. He has advanced training in mathematical programming including optimization, advanced multivariate data analysis, and simulation techniques. When he is not teaching or consulting he can be found meditating or heading for an adventurous trek.