Fundamental Data Science Governance for Big Data, Machine Learning & AI
irna
Thu, 12/14/2023 - 06:52
Duration
-
Exam Details
- Exam Code: DG90.01
- Those who achieve this certification receive an official Digital Certificate of Excellence, as well as a Digital Certification Badge from Acclaim/Credly, with an account that supports the online verification of certification status.
Price
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This course is the first of three courses you must take to pursue the Data Science Governance Specialist certification. This course describes data science governance concepts and basics and identifies common risks and challenges, as well as key roles for those involved in governance projects. The course further explores the analytics pipeline governance lifecycle and establishes over 70 data science governance precepts and processes. The course maps how precepts and processes relate to each other and how they relate to governance stages.
Key Outcomes:
After this course you will know:
- Organizational Maturity Assessment, KPI Definition
- Dataset Metadata Template, Data Source Categorization
- Data Volume & Velocity Threshold, Ingress Logic Version Control
- Data Lake Formation, Data Provenance & Lineage Template
- Data Model Definition, Data Inconsistency Notification
- Data Warehouse Formation, Data Access Metering
- Analysis Services Enablement, Visualization Access Control
- etc
Objectives
- Business Case Evaluation (including Organizational Maturity Assessment, KPI Definition, etc.)
- Data Identification (including Dataset Metadata Template, Data Source Categorization, etc.)
- Data Ingress (including Data Volume & Velocity Threshold, Ingress Logic Version Control, etc.)
- Data Storage – Raw (including Data Lake Formation, Data Provenance & Lineage Template, etc.)
- Data Cleansing & Validation (including Data Model Definition, Data Inconsistency Notification, etc.)
- Data Tagging (including Data Class Taxonomy, Data Classification Automation, etc.)
- Data Sanitization (including Data De-identification Template, Data De-identification Logic Centralization, etc.)
- Data Transformation (including Input & Output Data Models, Data Transformation Cost Analysis, etc.)
- Data Storage – Processed (including Data Warehouse Formation, Data Access Metering, etc.)
- Data Analysis (including Analysis Services Enablement, Visualization Access Control, etc.)
- Data Utilization (including Insights Sensitivity Classification, Visualization Change Management, etc.)
Contact
- Nurman (+62 857-2375-3840)
- Irna (+62 822-1664-7749)
- Puji (+62 813-2424-2115)
- Shafa (+62 813-9049-0664)