Interview Q&A

Question banks written alongside each course topic. Open a topic to read the questions and model answers in the same reader as the rest of the site — not as a raw file.

For staff-level interview prep that cuts across the whole curriculum, see Staff-Level Interview Question Banks.

Course 1 — Programming Refresher

• Variables Datatypes

• Control Flow Functions

• Data Structures

• OOP Modules

• File I/O Exceptions

Course 2 — Applied Data Science with Python

• Intro Data Science

• Python Essentials

• Numpy

• Linear Algebra

• Statistics Fundamentals

• Probability Distributions

• Advanced Statistics

• Pandas

• Data Wrangling

• Data Visualization

• Matplotlib

• Seaborn

• Regex JSON APIs

Course 3 — Machine Learning

• EDA Feature Engineering

• Clustering

• Classification

• Imbalanced Data

• Model Evaluation

Course 4 — Deep Learning with Keras & TensorFlow

• Neural Network Basics

• Keras Tensorflow

• Preprocessing Imbalance

• Model Evaluation DL

Course 5 — Generative AI, Prompt Engineering & ChatGPT

• Prompt Engineering

• Chatgpt Applications

• Genai Optimization

Course 6 — Advanced Generative AI

• RAG Architectures

• Vector Databases Chroma

• Multimodal Generative Models