(Click Category to List Courses)
31 - DAB- Data Analytics & Business Intelligience
DAB 401 - Survey Design & Data Analysis with Data Mining
| Code | Start Date | Duration | Venue | |
|---|---|---|---|---|
| DAB 401 | 23 December 2024 | 5 Days | Istanbul | Registration Form Link |
| DAB 401 | 10 February 2025 | 5 Days | Istanbul | Registration Form Link |
| DAB 401 | 07 April 2025 | 5 Days | Istanbul | Registration Form Link |
| DAB 401 | 16 June 2025 | 5 Days | Istanbul | Registration Form Link |
| DAB 401 | 28 July 2025 | 5 Days | Istanbul | Registration Form Link |
| DAB 401 | 22 September 2025 | 5 Days | Istanbul | Registration Form Link |
| DAB 401 | 17 November 2025 | 5 Days | Istanbul | Registration Form Link |
| DAB 401 | 08 December 2025 | 5 Days | Istanbul | Registration Form Link |
Course Description
Data mining is the process of extracting patterns from large data sets by connecting methods from statistics and artificial intelligence with database management. Although data mining is a relatively young and interdisciplinary field of computer science, it involves analysis of large masses of data and conversion into useful information. This course will discuss: which data can be mined and used to enhance businesses, data patterns which can be visualized to understand the data better, the process, tools, and its future by modern standards. The course provides the background, knowledge, tools, and critical thinking skills to build and conduct a successful survey program from start to finish. It will also focus on the design and implementation of social surveys.
Course Objectives
- Knowing the usefulness of data mining in different businesses
- Introducing to data mining, its advantages and disadvantages
- Being aware of the importance of visualizing data
- Understanding the integrated processes of designing and conducting quantitative survey research projects
- Giving participants experience of grappling with problems in the design of surveys and ways of detecting, controlling and minimising errors in the survey process.
Who Should Attend?
- IT Professionals
- IT managers
- Data analysts
- Engineers
- Data Scientists
- Functional Analytic Practitioners
- Anyone planning to become more effective in survey design and data analysis
Course Details/Schedule
Day 1
- Knowledge Discovery in Databases ( Intro, Definition, and Techniques)
- Introduction to Data Mining
- Definition of Data Mining
- Styles of Learning
- Advantages and disadvantages in Data Mining
Day 2
- Minable Data
- Minable Information
- Visualizing Data Patterns
- Orienteering
- Why Visualize?
- Trusting and understanding a Model
Day 3
- What Can Data Mining Do?
- Types of Data Sets
- Data Mining Process
- Data Mining Tools
- Data Mining Techniques
Day 4
- Database Marketing
- Merchandise Planning
- Card Marketing
- Customer Loyalty
- Product Production
- Warranties
- Future of Data Mining
Day 5
- Probability Theory & Sampling Theory
- Fundamentals of Survey Methodology
- Data Collection Methods in Survey Research
- Questionnaire Design
- Attitudes and Public Opinion
- Survey Management
- Total Survey Error
