Mini-Course • Ended
Introduction to Data Science and
Artificial Intelligence
A foundation course covering the 3 pillars of data — Structured Data, Computer Vision, and NLP — organized by The Noders Community × PRISEE.
High School Students (Grade 10-11)
April 2026
4 Sessions × 1.5 hours
Lecture Recordings
Session 1
Session 2
Session 3
Session 4
Drag or use arrows to browse sessions
Course Curriculum
1Session
Data Science Thinking & Standard Workflows
05/04/2026
Topics Covered
View detailsOverview
- Definition & Analytics comparison
- 3 Pillars: Structured, Vision, NLP
Standard Workflow
- Collection & Pre-processing
- Modeling & Visualization
Case Study
- IELTS score analysis
2Session
Data Processing & Visualization
08/04/2026
Topics Covered
View detailsTool Ecosystem
- SQL for data extraction
- Pandas for processing
- Matplotlib for visualization
Hands-on Practice
- Basic SQL queries
- Data cleaning with Pandas
- Insightful chart creation
3Session
Computer Vision & Basic Machine Learning
12/04/2026
Topics Covered
View detailsImage Fundamentals
- Pixel Matrix representation
- Preprocessing: Resize, Grayscale
Algorithms
- KNN principles & classification
- CNN & Deep Learning intro
Practice
- Handwritten digit recognition
4Session
Natural Language Processing & Model Evaluation
15/04/2026
Topics Covered
View detailsNLP Fundamentals
- Text cleaning & Tokenization
- BoW, TF-IDF, Word embeddings
Model Evaluation
- Key metrics: Accuracy, F1, etc.
- Context-based metric selection
Course Ended
This course has ended
Thank you to all participants! All 4 sessions have been recorded — you can watch them back anytime via the lecture recordings carousel above or by visiting each session's detail page.