Data Analysis Masterclass: Visualization, Statistics and Advanced Programs

Course Info

Length:

5 Days

Type:

In Classroom

Available Dates

2025-04-21

Dubai

2025-04-28

Barcelona

2025-04-28

Singapore

2025-04-28

Amsterdam

2025-05-05

Istanbul

2025-05-05

Kuala Lumpur

2025-05-05

Paris

2025-05-12

London

2025-06-23

Dubai

2025-07-14

London

2025-07-28

Amsterdam

2025-07-28

Singapore

2025-07-28

Barcelona

2025-08-04

Paris

2025-08-04

Istanbul

2025-08-04

Kuala Lumpur

2025-08-18

Dubai

2025-09-15

London

2025-10-20

Dubai

2025-10-27

Amsterdam

2025-10-27

Singapore

2025-10-27

Barcelona

2025-11-03

Paris

2025-11-03

Istanbul

2025-11-03

Kuala Lumpur

2025-11-10

London

2025-12-15

Dubai

Course Details

  • Introduction
  • Objective
  • Who should attend

In an increasingly data-driven world, mastering the art of analyzing and interpreting data has become an essential skill for professionals across all industries. Effective data analysis combines technical expertise, statistical rigor, and visualization skills to uncover meaningful insights that drive decision-making. The Data Analysis Masterclass: Visualization, Statistics, and Advanced Programs provides participants with a comprehensive understanding of advanced data analysis techniques, equipping them with the tools to interpret complex datasets and present findings clearly and effectively.


This five-day course covers the full lifecycle of data analysis, from understanding data types and sources to creating insightful visualizations and applying advanced statistical methods. Participants will also gain practical skills in managing data analysis projects, ensuring their findings are actionable and aligned with business objectives. Whether you're a data analyst, business leader, or researcher, this masterclass offers the knowledge and practical experience to elevate your data analysis capabilities.

Course Outline

5 days course
  • Day 1
  • Day 2
  • Day 3
  • Day 4
  • Day 5

Data Visualization and Descriptive Statistics  


  • Introduction to data types, sources and variable categories 
  • Exploring a variety of visualization techniques and their features: 


  • Pie and doughnut charts
  • Bar charts, histograms, line graphs, and scatter plots
  • Heat maps and Tukey box plots
  • Geographical maps


  • Understanding and applying measures of central tendency: Mean, median, and mode
  • Discovering key measures of dispersion: Quartiles, variance, and standard deviation
  • Exploring statistical estimation methods:



  • Point estimation
  • Confidence intervals 
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