No-Code Data Analysis and AI Modelling
Recommended: 6 × 3h · 18 hours
Connect data in a visual workflow and build and evaluate a simple predictive model.
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Related teaching experience
The supplied record lists 30-hour no-code analysis/AI modelling at Daelim University in 2021, plus K-Move-related 45-hour online and 80-hour data/AI training.
Who is it for?
Students, job seekers and practitioners with basic data literacy.
What will you work towards?
A data-preparation and learning workflow
A simple model comparison
Test performance and error cases
A project report explaining limitations
How much time should you plan?
Standard 18-hour format includes demonstrations, individual work, troubleshooting, feedback and saving.
Short format: Three hours run and interpret a prepared workflow.
Output scope is adjusted to the learners’ starting level.
Extended format: Ten sessions / 30 hours adds custom data, a project and individual feedback.
What will you explore?
The standard six-session, 18-hour course uses sample data and simple classification. A 30-hour extension adds custom-data preparation and a project. Select an available visual tool such as Orange.
01 Problem and target
- Practice
- Define a classification target and dataset
- Output
- Problem statement and variable list
02 Prepare data
- Practice
- Check missing values, leakage and bias
- Output
- Prepared data
03 Build a first model
- Practice
- Connect widgets and separate training and test data
- Output
- A first learning workflow
04 Compare performance
- Practice
- Compare a baseline and another model’s errors
- Output
- A model-comparison table
05 Investigate failure cases
- Practice
- Inspect misclassified examples and likely causes
- Output
- Error analysis and an improvement plan
06 Explain and reproduce
- Practice
- Present results, limits and rerun instructions
- Output
- A report and reproducible workflow
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We review interest and availability before sharing the course plans. We will contact you once dates and application details are confirmed.
Non-members are welcome. Existing members can verify their membership and reuse their details.