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Data Science — Mock Test Quiz Bank
Practice for Data Science certification exams with over 175 multiple choice questions covering all 5 core domains. Aligned with the latest industry standards and exam blueprints.
Programming for Data Science
Python (NumPy, Pandas, Matplotlib, Seaborn), R (ggplot2, dplyr), SQL queries and optimization — 50 MCQs + 6 Case Studies
Mathematics & Statistics
Linear Algebra, Calculus, Discrete Mathematics, Probability distributions, Hypothesis testing, Bayesian statistics — 60 MCQs + 7 Case Studies
Data Handling & Visualization
Data wrangling, cleaning, feature engineering, visualization tools (Matplotlib, Seaborn, Plotly, Tableau, Power BI), storytelling with data — 55 MCQs + 6 Case Studies
Machine Learning & AI
Supervised learning (regression, classification), unsupervised learning (clustering, PCA), deep learning (CNNs, RNNs, LSTMs), NLP (tokenization, transformers), reinforcement learning — 70 MCQs + 8 Case Studies
Big Data & Cloud
Hadoop, Spark, distributed computing, cloud platforms (AWS, Azure, Google Cloud), data pipelines and deployment — 50 MCQs + 6 Case Studies
Advanced & Applied Topics
Data mining, anomaly detection, ethics & governance (privacy, bias, fairness, compliance), capstone projects with real-world datasets — 52 MCQs + 7 Case Studies
5+1
Core + Applied domains
3–4 hrs
Total exam time
70%
Pass mark
Global
Recognised worldwide