Training in Big Data Analytics & Data Visualization with R Programming
R remains one of the two dominant languages in Data Science — hands-on, in-person training in R for big data analytics and advanced visualization.
"R is today's Excel — and much more."
Hands-on program for learning R for big data analytics techniques and advanced data visualization — fast, easy, efficient data mining, cleaning, and analysis on large datasets.
R is powerful for statistical modeling, data mining, manipulation, and exploration, and is one of the most advanced languages for visualization. Particularly suited to non-IT managers who want to focus on analysis without heavy coding.
Anyone building a complete statistical analytics toolkit.
For executives and researchers working on large datasets who want advanced analytics and visualization for better interpretation and reporting — a natural companion to Python for anyone pursuing Data Science, Machine Learning, or AI.
Two tools for two kinds of jobs, not rivals.
Many practicing Data Scientists use both R and Python — choosing R for statistical depth and specific visualization packages, and Python for general-purpose flexibility and production deployment. This course can also be taken alongside professional management programs like Market Research, Marketing Strategy, HR Analytics, Decision Making, Negotiation Skills, and Supply Chain Logistics.
What this module covers.
- Basics of Data Analytics
- Basics — Vectors, Matrices, Factors, Data Frames
- Relational Operators, Equalities, Logical Operators
- Conditional & Control — If Statements, Loops, Writing Functions
- The Apply Family of Functions
- DPLYR Package — Grammar of Data Manipulation
- The Pipe Operator, Group_by & Summarize Operators
- GGPLOT2 & GGVIS packages for data visualization
- PLOTLY Package for interactive visualization
- R-Shiny — customized interactive BI Dashboards
- Cleaning Data with Tidyverse, reshape3, stringR
- Connecting with SAS, SPSS, SQL Databases
- Other important packages & programming concepts
Approved since 2014
30+ years practitioner-led
100% in-person
Max 8 learners
Common questions about this course.
Should I learn R or Python first?
Either is a valid starting point. R has an edge for pure statistical analysis and visualization; Python is more general-purpose. Many Data Scientists eventually learn both.
Do I need a programming background?
No formal prerequisite is required — this course is designed to be approachable for non-IT managers who want strong analysis skills without heavy coding.
Where is this course offered?
Dubai, Abu Dhabi, Delhi, Mumbai, Bangalore, and Nigeria — check the course schedule for current batch locations and dates.