Analytics Data Management
The Analytics Data Management exam evaluates a candidate's knowledge and skills in managing data for analytics purposes. This certification assesses proficiency in data collection, integration, storage, governance, and analysis to support data-driven decision-making processes.
Who should take the exam?
- Data Analysts: Professionals responsible for analyzing data and deriving insights.
- Data Engineers: Individuals managing data pipelines and infrastructure.
- Business Intelligence Specialists: Experts developing and maintaining BI solutions.
- Data Scientists: Researchers working with large datasets to create predictive models.
- IT Professionals: Individuals involved in data management and governance.
- Database Administrators: DBAs managing data storage solutions.
- Students: Individuals studying data science, analytics, or related fields.
Course Outline
The Analytics Data Management exam covers the following topics :-
- Module 1: Introduction to Data Management
- Module 2: Understanding Data Collection and Integration
- Module 3: Understanding Data Storage Solutions
- Module 4: Understanding Data Governance and Quality
- Module 5: Understanding Data Analysis Techniques
- Module 6: Understanding Data Visualization
- Module 7: Understanding Advanced Data Management Practices
- Module 8: Understanding Case Studies and Practical Applications
- Module 9: Understanding Future Trends in Data Management
Analytics Data Management FAQs
What is analytics data management?
It involves organizing, storing, and governing data to support analytical use cases and business decision-making.
Do I need a technical background?
While technical skills help, foundational knowledge of data concepts is enough to begin learning.
What job roles does this support?
Data Engineer, BI Analyst, Data Steward, Data Architect, Data Governance Officer.
Is this course suitable for freshers?
Yes, it's a solid entry point into the data and analytics profession.
Will I learn about data governance?
Yes, including regulatory compliance, policy implementation, and audit practices.
What tools will I explore?
ETL tools (like Talend, Informatica), data warehouses, data catalogs, and governance frameworks.
Can this help with freelance or consulting work?
Absolutely. Data integration and governance consultants are in high demand.
Is this in demand globally?
Yes, businesses rely on clean, governed data for analytics and AI across industries worldwide.