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.
Detailed Data Analysis, Research, and Visualization
Jan ,
Feb ,
Mar
Apr ,
May ,
Jun
Jul ,
Aug ,
Sep
Oct ,
Nov ,
Dec
City
Start Date
End Date
no results on this period
City
Start Date
End Date
no results on this period
City
Start Date
End Date
Istanbul
16 August 2026
20 August 2026
Istanbul
13 September 2026
17 September 2026
Istanbul
20 September 2026
24 September 2026
City
Start Date
End Date
no results on this period
c
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
* Password must be at least 8 characters long * Password must contain at least one lowercase letter * Password must contain at least one uppercase letter * Password must contain at least one digit