Dataiku Developer Certification study plan
Dataiku Developer Certification · Give each week a clear focus.
8 weeks · About 5 hours per week
Dataiku code recipes, datasets, environments and extension boundaries
Review Dataiku code recipes, datasets, environments and extension boundaries using the mapped guide and reference terms.
Attempt relevant questions before reading answers and explain the distinction or calculation.
Your checkpoint
A checked study log for Dataiku code recipes, datasets, environments and extension boundaries, with supporting reasoning and unresolved questions.
Dataiku scenarios, variables, bundles and API-service deployment
Review Dataiku scenarios, variables, bundles and API-service deployment using the mapped guide and reference terms.
Attempt relevant questions before reading answers and explain the distinction or calculation.
Your checkpoint
A checked study log for Dataiku scenarios, variables, bundles and API-service deployment, with supporting reasoning and unresolved questions.
Python and dataframe reasoning for applied analytics
Review Python and dataframe reasoning for applied analytics using the mapped guide and reference terms.
Attempt relevant questions before reading answers and explain the distinction or calculation.
Your checkpoint
A checked study log for Python and dataframe reasoning for applied analytics, with supporting reasoning and unresolved questions.
Intelligent search, learning and evaluation
Review Intelligent search, learning and evaluation using the mapped guide and reference terms.
Attempt relevant questions before reading answers and explain the distinction or calculation.
Your checkpoint
A checked study log for Intelligent search, learning and evaluation, with supporting reasoning and unresolved questions.
Data, Databases, and Information Retrieval
Review Data, Databases, and Information Retrieval using the mapped guide and reference terms.
Attempt relevant questions before reading answers and explain the distinction or calculation.
Your checkpoint
A checked study log for Data, Databases, and Information Retrieval, with supporting reasoning and unresolved questions.
Identity, access and cryptographic protection
Review Identity, access and cryptographic protection using the mapped guide and reference terms.
Attempt relevant questions before reading answers and explain the distinction or calculation.
Your checkpoint
A checked study log for Identity, access and cryptographic protection, with supporting reasoning and unresolved questions.
Dataiku code recipes, datasets, environments and extension boundaries & Dataiku scenarios, variables, bundles and API-service deployment & Python and dataframe reasoning for applied analytics & Intelligent search, learning and evaluation & Data, Databases, and Information Retrieval & Identity, access and cryptographic protection & Security operations, monitoring and response & Continuity, backup and technical recovery
Apply the cases before reading model responses.
Retest recurring errors with a mixed set and compare preparation with the actual syllabus.
Your checkpoint
A checked study log for Dataiku code recipes, datasets, environments and extension boundaries, Dataiku scenarios, variables, bundles and API-service deployment, Python and dataframe reasoning for applied analytics, Intelligent search, learning and evaluation, Data, Databases, and Information Retrieval, Identity, access and cryptographic protection, Security operations, monitoring and response, Continuity, backup and technical recovery, with supporting reasoning and unresolved questions.
Dataiku code recipes, datasets, environments and extension boundaries & Dataiku scenarios, variables, bundles and API-service deployment & Python and dataframe reasoning for applied analytics & Intelligent search, learning and evaluation & Data, Databases, and Information Retrieval & Identity, access and cryptographic protection & Security operations, monitoring and response & Continuity, backup and technical recovery
Apply the cases before reading model responses.
Retest recurring errors with a mixed set and compare preparation with the actual syllabus.
Your checkpoint
A checked study log for Dataiku code recipes, datasets, environments and extension boundaries, Dataiku scenarios, variables, bundles and API-service deployment, Python and dataframe reasoning for applied analytics, Intelligent search, learning and evaluation, Data, Databases, and Information Retrieval, Identity, access and cryptographic protection, Security operations, monitoring and response, Continuity, backup and technical recovery, with supporting reasoning and unresolved questions.
Milestones
Week 2: Explain the principal concepts using evidence rather than memorized option positions.
Week 5: Apply subject concepts to cases and identify assumptions and limits.
Week 8: Review mixed performance and the exact current qualification requirements.