Study Guide
12 chapters covering data science foundations, mathematics, machine learning, and specialized applications. Each chapter includes key concept summaries and a 20-question practice quiz.
Practice Exam
90 randomly selected questions across all chapters -- simulates the real DY0-001 exam
Ch. 1
What Is Data Science?
Data ScienceData Science Best Practices
20 questions
Ch. 2
Mathematics and Statistical Methods
CalculusProbability DistributionsInferential Statistics+1 more
20 questions
Ch. 3
Data Collection and Storage
Common Data SourcesData IngestionData Storage+1 more
20 questions
Ch. 4
Data Exploration and Analysis
Exploratory Data AnalysisCommon Data Quality Issues
20 questions
Ch. 5
Data Processing and Preparation
Data TransformationData Enrichment and AugmentationData Cleaning+1 more
20 questions
Ch. 6
Modeling and Evaluation
Types of ModelsModel Design ConceptsModel Evaluation
20 questions
Ch. 7
Model Validation and Deployment
Model ValidationCommunicating ResultsModel Deployment+1 more
20 questions
Ch. 8
Unsupervised Machine Learning
Association RulesClusteringDimensionality Reduction+1 more
20 questions
Ch. 9
Supervised Machine Learning
Linear RegressionLogistic RegressionDiscriminant Analysis+3 more
20 questions
Ch. 10
Neural Networks and Deep Learning
Artificial Neural NetworksDeep Neural Networks
20 questions
Ch. 11
Natural Language Processing
Natural Language ProcessingText PreparationText Representation
20 questions
Ch. 12
Specialized Applications of Data Science
OptimizationComputer Vision
20 questions