What you will learn in IBM Data Management Professional Certificate Course
This professional certificate from IBM provides an in-depth understanding of data management practices and tools used in real-world settings.
Learners gain experience with relational databases, NoSQL systems, data governance, and data integration techniques.
You’ll develop SQL proficiency, explore data warehousing and cloud data management, and understand how to manage big data using Hadoop.
The program highlights practical applications through projects and real datasets, enhancing your problem-solving skills.
- It also includes exposure to IBM Cognos Analytics and other business intelligence tools for reporting and visualization.
- Students will explore best practices in data quality, compliance, and master data management strategies.
- Completing the program prepares you for roles such as data manager, database administrator, or BI analyst.
Program Overview
Introduction to Data Management
⏱️ 2-3 weeks
Learn foundational concepts in data management and explore its business relevance.
Define core roles like database admins and data managers
Understand structured vs. unstructured data
Learn about database architectures and storage systems
Explore data lifecycle and management frameworks
Relational Databases and SQL
⏱️ 3-4 weeks
Build strong fundamentals in relational databases using MySQL and PostgreSQL.
Create and manage tables with SQL
Write queries to retrieve, update, and delete data
Explore indexing, constraints, and normalization
Perform joins, subqueries, and set operations
NoSQL and Unstructured Data
⏱️ 3-4 weeks
Dive into modern NoSQL systems used for handling big and unstructured data.
Work with MongoDB and document-based storage
Understand when to use NoSQL vs relational databases
Learn data modeling for NoSQL
Perform CRUD operations on unstructured data
Data Integration and Migration
⏱️2-3 week
Explore tools and strategies for combining and transferring data across systems.
ETL pipelines and data migration best practices
Handle data from various sources/formats
Maintain data consistency during integration
Explore cloud migration scenarios
Data Governance and Compliance
⏱️ 2-3 weeks
Understand the ethical and legal responsibilities in data handling.
Implement data governance frameworks
Learn about GDPR, HIPAA, and data privacy standards
Explore data stewardship roles
Perform data audits and compliance checks
Cloud Data Management and BI Tools
⏱️ 3-4 weeks
Gain insights into cloud-based data storage and business intelligence tools.
Use IBM Cognos Analytics for reports and dashboards
Work with cloud platforms like IBM Cloud and AWS
Explore real-time data access and security
Build end-to-end BI workflows
Get certificate
Job Outlook
- Data Management roles are expected to grow with increasing cloud and big data adoption
- Entry-level positions can earn $65K–$85K/year; senior roles go up to $120K+
- Skills in SQL, data integration, BI, and compliance are highly sought after
- Roles include: Database Administrator, Data Manager, Data Steward, BI Analyst
- Certification helps boost credibility and visibility on LinkedIn
- Applicable across industries: tech, finance, healthcare, logistics, and retail
- Foundation for further learning in data architecture and governance
Specification: IBM Data Management Professional Certificate
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FAQs
You’ll develop in-demand skills such as:
- Data storage, integration, governance, and migration
- Hands-on with Excel, Tableau, IBM Cognos, MySQL, PostgreSQL, MongoDB, SQL querying
- Concepts like data warehousing, data marts/lakes, and BI visualizations using dashboards, histograms, and treemaps
You’ll also cover security, compliance, and data architectures aligned with enterprise best practices.
- The program is backed by IBM, offering mainstream credibility. With data management expected to grow 140% by 2030, the training aligns with industry demand.
- The Credly badge reflects validated proficiency in data concepts, architecture, security, analytics, and pipeline design.
- Community feedback underscores that, while the credential adds value, real-world projects and demonstrated skills carry the most weight for employers.
