It is an analytical tool that helps and assist to analyses statistical information in a highly efficient manner. It makes it easy to analyze the huge data where the traditional fails in providing relevant and reliable result .
Learn to become expert business analyst
Business enterprises can analyses a data of nearly thirty millions of rows in sixty variables within 10 minutes of time . The speed of analysis is very quick and it produces good reliable scalable results that can be implemented in business development . It will provide the best view and all aspects of the business. A sophisticated an powerful tool is developed and it can be customized to meet industry requirements . It used by statisticians for computing statistics and analysis of information and highly integrated graphics.
The main objectives of the R – Programming
> Students learn R – Programming language , data visualization concepts exploration of statistical concepts
Learn fundamentals concepts of business analytics
Learn various analytics like descriptive analytics, predictive analytics, prescriptive analytics, and different types of business analytics.
> Supply chain analytics
>Real time Case Studies
>All in all students are guided through the real time aspects of R Programming efficiently by the experienced and expert professionals who have profound practical knowledge in the field.
What are the benefits of Learning R Programming ?
There is a tremendous business opportunity for the data analysts. Even the professionals can get benefits from R-programming to become expert business analysts. Certified data Scientists get very good pay pocket that is hefty.
Who are eligible to take the course ?
Anybody who wishes to know and learn about R – Programming with the basic knowledge in coding and programming can join the course . Students and professionals who wish t explore the world of business analytics can join the course.
R Course curriculum: 7 modules
Modules covered include:
Module 1 – How R Works
Module 2 part 1 – What is R-Packages
Module 2 part 2 – What is Sorting
Module 2 part 3 – Transpose Function
Module 3 part 1 – Functions & Reading Data from External Files
Module 3 part 2 – Generating Plots and Pie Charts
Module 4 part 1 – Analysis of Variancy (ANOVA)
Module 4 part 2 – What is Cluster Analysis
Module 5 part 1 – Association Rule Mining Affinity Analysis
Module 5 part 2 – Two Variable Relationships
Module 6 Part 1 – Database connectivity & Logistic Regression