Data Science Training in Dubai

This Data Science Training in Dubai United Arab Emirates serves the objectives of gaining of in depth knowledge on R language and techniques required to be a Data Scientist.

Data Scientist has been called “the sexiest job of the 21st Century,”. We live in a world that’s drowning in data. Buried in these data are answers to countless questions that no one’s ever thought to ask. Data science is about evidence-based storytelling of this massive amount of data.

Training Objectives

Objective of this course is to introduce necessary concept and techniques used in data science industry including, statistics, working with data, R programing and much more.

This course begins with a walk-through of a template data science project before diving into the R statistical programming language. You’ll learn how to load data into R and learn how to interpret and visualize the data while dealing with variables.

What is Data Science : Introduction to Data Science

You’ll be taught how to come to sound conclusions about your data, despite some real-world challenges. You’ll complete this course with the confidence to correctly analyze case studies, while sharing conclusions that will make a business more competitive and successful.

Course Outline

What is data science?

  • Overview of Data Science
  • Data Science as a Career
  • Data Science Team
  • What is Big Data
  • Big Data vs Business Intelligence

Field of Study

  • Why programming is Important
  • How Statistics Works
  • Importance of Mathematics

Introduction to R

  • R Graphical User Interface
  • Data Import and Export
  • Attributes and Data Types
  • Introducing Vectors, Matrices, Data Frame and Dates

Exploratory Data Analysis

  • Summarizing the Data
  • Data Distributions
  • Outlier Treatment
  • Measuring Asymmetry: Skewness and Pearson’s Median Skewness Coefficient
  • Continuous Distribution
  • Kernel Density
  • Sample and Estimated Mean, Variance and Standard Scores
  • Covariance, and Pearson’s and Spearman’s Rank Correlation

Statistical Inference

  • Points Estimates and Confidence Intervals
  • Testing Hypothesis Using Confidence Intervals
  • Testing Hypothesis Using p-values
  • Errors Types
  • Simple Linear Regression
  • Multiple Linear Regression

Data Visualization in R

  • Data Visualization Principles
  • Plots
  • Barplots
  • Heatmaps
  • Scatterplots
  • Box and Whisker plots
  • ggplot2


  • Interpretability
  • Actionable Insights
  • Visualization for Presentation
  • Reproducible Research

Course Benefits

  • Engage yourself in Data Science and boost your career
  • Understand the art and science of discovering patterns and making intelligent predictions from big data.
  • Basics of R platform, programming language concepts, common and useful R commands, and applying statistical methods.
  • Discover how to understand, interpret and convey the results of data science life cycle.

Target Audience

  • Data Analysts
  • Finance Managers
  • Financial Reporting Managers
  • Key Decision Makers
  • Business Mangers
  • Project Managers
  • Operations Managers
  • Senior Managers

Decision makers from medium to large organizations from Banking, IT, Government, Media, Telecoms, Hospitality, Retail, Travel and Healthcare sectors.


Per participant USD1,200  (Fees + Taxes as applicable.)

(Including coffee breaks, a buffet lunch daily, course material and Certificate)

Contact us for in-house training solutions, and we will send you proposal.