Advanced Data Analytics with R

Advanced Data Analytics with R (ADAR)

R is a programming language incorporated with a software environment used for statistical computing and graphics. It can conduct numerical computations through additional packages. Being open source has been beneficial to organizations that specialize in research and development, or are cautious about intellectual property and data governance.

R is also used by a growing number of data analysts inside corporations and academia. It is becoming their language of choice because data mining has entered a golden age, whether being used to set ad prices, find new drugs more quickly or fine-tune financial models. Companies as diverse as Google, Pfizer, Merck, Bank of America, the InterContinental Hotels Group and Shell use it.

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Course Objective
To allow participants to develop a robust set of skills required for perform advance data analytics using the R tools.
Course Duration
32 hours / 4-Day
Course Outline
Introduction to Business Analytics & R Programming  
  • What is Business Analytics?
  • Why use R Programming?
  • Introduction to Simple Data Visualization Charts  
  • How to visualize data using simple charts
  • Hands-On Exercise
  • Introduction to Data Summarization Techniques  
  • Types of Data Summarization Techniques
  • Use simple statistics and data summarization techniques
  • Hands-on Exercise on Data Visualization & Summarization using R  
  • Using R Programming, a business case study example is used to visualize the data to gain business insights
  • Using R Programming, a business case study is used to summarize data to gain business insights
  • Introduction to Correlation Analysis  
  • Business Case Study example of variables related to each other
  • Business variables in your organization/industry can you test whether they are related or not?”
  • Introduction to Statistical Significance Testing  
  • What is Statistical Significance
  • Types of Statistical Error
  • Are these two variables Related?  
  • How to determine if two variables are related to each other Security Management
  • Some examples of business variables that are related to each other
  • Hands-on Exercise on Correlation Analysis using R
    Introduction to Linear Regression Models  
  • Value of Simple Linear Regression Models
  • How Linear Regression Modelling is applied
  • Types of Modelling Techniques  
  • Forward, Backward & Mixed Modelling Techniques
  • The Goodness of Fit Measure
  • Hands-on Exercise on the Application of the Linear Regression Model
    The Linear Regression Modelling Method  
  • The Assumption of the Errors
  • The Evaluation of the Model
  • Pre-Requisite
    A valid Certification of Competency either Business Analytics Essential (BAE), Machine Learning Essentials (MLE), or some basic understanding in software development
    Participants are required to pass an examination upon completion. This exam tests a candidate’s knowledge and skills related to Advanced Data Analytics with R (ADAR) based on the syllabus covered in the course
    Participants will be awared a Certificate of Competency in Advanced Data Analytics with R (ADAR) upon passing the examination and meeting all requirements of the course
    Who Will Benefit From The Course
    Advanced Data Analytics with R is designed for Data Analyst, Data Scientists, Analysts, and Anyone who are interested in learning how to perform advanced data analytics using R-Tool, and how to implement R-Tool in their organization.