Data Fundamentals
Data types and structures
10 questions per mode
Statistics
Descriptive and inferential statistics
10 questions per mode
Data Preprocessing
Cleaning and preparing data
10 questions per mode
Data Visualization
Charts, graphs, and visual analytics
10 questions per mode
Machine Learning Basics
Introduction to ML algorithms
10 questions per mode
Supervised Learning
Classification and regression
10 questions per mode
Unsupervised Learning
Clustering and dimensionality reduction
10 questions per mode
Python Data Tools
Pandas, NumPy, Scikit-learn
10 questions per mode
Big Data
Hadoop, Spark, and big data tools
10 questions per mode
Data Ethics
Privacy and ethical considerations
10 questions per mode
AI Fundamentals
Neural networks, deep learning, and AI concepts
10 questions per mode