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Comprehensive assessment covering Python programming essentials for data science including pandas, numpy, and data manipulation techniques.
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Attempts Remaining3/3
Pass Rate78%
Test your knowledge of supervised and unsupervised learning algorithms, model evaluation, and feature engineering techniques.
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Attempts Remaining1/2
Pass Rate65%
Essential statistical concepts for data scientists including hypothesis testing, probability distributions, and statistical inference.
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Attempts Remaining1/3
Pass Rate82%
Advanced assessment covering neural network architectures, backpropagation, CNNs, RNNs, and modern deep learning frameworks.
35 questions • 75 minutes
Attempts Remaining2/2
Pass Rate58%
Master SQL queries, joins, aggregations, window functions, and database optimization techniques essential for data analysis.
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Attempts Remaining5/5
Pass Rate89%