book

CompTIA DataX Study Guide

by Fred Nwanganga

August 2024

Beginner to intermediate

416 pages

11h 28m

English

Sybex

Read now

Unlock full access

About the DataX CertificationHow This Book Is OrganizedInteractive Online Learning Environment and Test BankHow to Contact the PublisherAssessment TestAnswers to Assessment Test
Data ScienceData Science Best PracticesSummaryExam EssentialsReview Questions

CalculusProbability DistributionsInferential StatisticsLinear AlgebraSummaryExam EssentialsReview Questions
Common Data SourcesData IngestionData StorageManaging the Data LifecycleSummaryExam EssentialsReview Questions
Exploratory Data AnalysisCommon Data Quality IssuesSummaryExam EssentialsReview Questions
Data TransformationData Enrichment and AugmentationData CleaningHandling Class ImbalanceSummaryExam EssentialsReview Questions
Types of ModelsModel Design ConceptsModel EvaluationSummaryExam EssentialsReview Questions
Model ValidationCommunicating ResultsModel DeploymentMachine Learning Operations (MLOps)SummaryExam EssentialsReview Questions
Association RulesClusteringDimensionality ReductionRecommender SystemsSummaryExam EssentialsReview Questions
Linear RegressionLogistic RegressionDiscriminant AnalysisNaive BayesDecision TreesEnsemble MethodsSummaryExam EssentialsReview Questions
Artificial Neural NetworksDeep Neural NetworksSummaryExam EssentialsReview Questions
Natural Language ProcessingText PreparationText RepresentationSummaryExam EssentialsReview Questions
OptimizationComputer VisionSummaryExam EssentialsReview Questions
Chapter 1: What Is Data Science?Chapter 2: Mathematics and Statistical MethodsChapter 3: Data Collection and StorageChapter 4: Data Exploration and AnalysisChapter 5: Data Processing and PreparationChapter 6: Modeling and EvaluationChapter 7: Model Validation and DeploymentChapter 8: Unsupervised Machine LearningChapter 9: Supervised Machine LearningChapter 10: Neural Networks and Deep LearningChapter 11: Natural Language ProcessingChapter 12: Specialized Applications of Data Science

Content preview from CompTIA DataX Study Guide

Chapter 1What Is Data Science?

THE COMPTIA DATAX EXAM OBJECTIVES COVERED IN THIS CHAPTER INCLUDE:

Domain 4: Operations and Processes
- 4.1 Explain the role of data science in various business functions.
- 4.5 Given a scenario, implement best practices throughout the data science life cycle.
Domain 5: Specialized Applications of Data Science
- 5.4 Explain the purpose of other specialized applications in data science.

The rapid advances in data science have changed the way we work, live, and interact with the world around us. But what exactly is data science? Is it the same thing as machine learning? What about artificial intelligence? In this chapter, we define what data science is and how it differs from other closely related but distinct ...