Detailed Data Analysis, Research, and Visualization

09 - 13 Aug. 2026

Istanbul - Fees : 4500

The course aims to empower participants with advanced skills in detailed data analysis, research methodologies, and data visualization, enabling them to extract and communicate meaningful insights from complex data sets.
City Start Date End Date
Istanbul 2026-08-16 2026-08-20
Istanbul 2026-09-13 2026-09-17
Istanbul 2026-09-20 2026-09-24

Register for program : Detailed Data Analysis, Research, and Visualization

09, Aug 2026
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Detailed Data Analysis, Research, and Visualization

09, Aug 2026
Istanbul
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Details

This comprehensive course delves into the critical components of data analysis, effective research techniques, and data visualization. Through a combination of theoretical instruction and practical application, participants will learn to interpret data, perform research, and visualize findings in a manner that's impactful and easy to understand.

Target Group

Data analysts, business intelligence professionals, market researchers, and anyone who deals with interpreting and visualizing data would greatly benefit from this course.

Goals

  • Understand and apply advanced data analysis techniques.
  • Conduct research using rigorous and effective methodologies.
  • Develop skills to create impactful data visualizations.
  • Gain proficiency in utilizing data visualization tools.
  • Apply these skills to real-world scenarios, translating complex data into actionable insights.
  • Enhance communication skills for presenting data-driven findings.

Target Competencies

  • Advanced skills in data analysis
  • Proficiency in research methodologies
  • Mastery of data visualization techniques
  • Proficiency in data visualization tools
  • Ability to transform complex data into actionable insights
  • Effective communication of data-driven findings

Outlines

Detailed Data Analysis:

  • Understanding Data and Variables
  • Techniques in Descriptive and Inferential Statistics
  • Principles of Hypothesis Testing
  • Regression Analysis and Data Modeling
  • Data Mining and Predictive Analytics

Effective Research Methodologies:

  • Designing Research Questions and Hypotheses
  • Sampling Techniques and Considerations
  • Data Collection Methods and their Pros/Cons
  • Distinguishing between Qualitative and Quantitative Research
  • Analyzing and Interpreting Research Results
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