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Dell Data Science Foundations — Requirements & Free Practice

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Dell Data Science Foundations

A Dell Technologies Proven Professional skill certification validating the practical foundation skills required by a Data Scientist for big data and other analytics projects.

Licensing authority: Dell Technologies

Initial by examination
Dell Data Science Foundations
Applicability
Current D-DS-FN-23 English examination only. The PDF states its certification requirements and contents as of February 3, 2024; the current Dell catalogue and code-specific page continue to identify this certification and examination. Unpublished start/expiry dates remain null.
Authorization Boundary
Certification validates capability; it does not itself authorize partners to deliver Dell services. No state licensure route is asserted.
Knowledge Skill Requirement
Have a sufficient knowledgebase/skill set through hands-on product experience and/or by consuming the recommended training.
Recognition
Accept the program agreement and receive Program Office acknowledgement of passing all required exams and satisfying other requirements; maintain compliance with the agreement and then-current program requirements.
Registration
Create or log into a Pearson VUE account, accept the candidate agreement, obtain an exam voucher under the published journey, and schedule an available Pearson test-center or OnVUE appointment. No guaranteed appointment or institution-arranged seat is established by these public materials.
Retake
After a first failed certification-exam attempt, wait 7 days; after a second failure, wait at least 14 days between additional attempts. A previously passed exam can be retaken after 3 months to fulfill a certification track requirement.
Scoring
Passing the required exam is mandatory; provisional scores are subject to final statistical/security analysis and program acknowledgement.
Training
The listed course and lab are recommended; the textbook is optional. The experience and/or training language is retained and is not converted into a mandatory course prerequisite.

Dell Data Science Foundations

Provider
Pearson VUE
Format
Proctored examination at Pearson testing centers or through OnVUE online testing
Time limit
90 minutes
Examination outline
  • Big Data, Analytics, and the Data Scientist Role (5%)
    • Characteristics of Big Data
    • Business drivers for Big Data analytics and data science
    • Data Scientist role and related skills
  • Data Analytics Lifecycle (8%)
    • Lifecycle purpose and sequence of phases
    • Discovery activities and associated roles
    • Data preparation activities and associated roles
    • Model planning activities and associated roles
    • Model building activities and associated roles
  • Initial Analysis of the Data (15%)
    • Basic R commands for initial exploration and analysis
    • Statistical measures and effective data visualizations
    • Hypothesis testing theory, process, results, and model evaluation
  • Advanced Analytics - Theory, Application, and Interpretation of Results for Eight Methods (40%)
    • K-means clustering
    • Association rules
    • Linear regression
    • Logistic Regression
    • Naïve Bayesian classifiers
    • Decision trees
    • Time Series Analysis
    • Text Analytics
  • Advanced Analytics for Big Data - Technology and Tools (22%)
    • Technological challenges posed by Big Data
    • Nature and use of MapReduce and Apache Hadoop
    • Hadoop ecosystem and related product use cases
    • In-database analytics and SQL essentials
    • Advanced SQL methods: window functions, ordered aggregates, and MADlib
  • Operationalizing an Analytics Project and Data Visualization Techniques (10%)
    • Communicating findings and operationalizing an analytics project
    • Project presentations for specific audiences
    • Planning and creating effective data visualizations
Examination sources