SE4R Data Engineering
Completed by Theo Kanakis on May 27, 2025
Verified learner ·
Badge ID: u0sPpvegQ5qLD6b3oJOalg
About this Badge
SE4R- Data Engineering required courses updated to include GenAI and to remove courses that are not relevant to IBM. After you complete this list of courses (Learning Path) and earn the badge, you will be qualified to complete the engineering rally. Please complete the courses in this list before completing the certifications that are also included with this program.
Learning objectives
- Apply generative AI models to enhance data engineering tasks such as architecture design, database querying, and ETL workflows.
- Demonstrate proficiency in SQL and Python for data extraction, transformation, and loading processes, including web scraping and API utilization.
- Design and manage relational and NoSQL databases, implementing tasks like normalization, indexing, and data querying using tools like Apache Spark and Hadoop.
- Architect and implement data analytics platforms, showcasing skills in data warehousing, big data analytics, and dashboard creation.
Skills learned
- IBM Cognos Analytics
- Extract, Transform, Load
- Integrated Development Environments
- Database Architecture and Administration
- Style Guides
- Applied Machine Learning
- Code Review
- IBM DB2
- Stored Procedure
- Disaster Recovery
- Data Storage Technologies
- Apache Cassandra
- Apache Hive
- Transaction Processing
- Software Technical Review
- Apache Hadoop
- Apache Spark
- Distributed Computing
- Predictive Modeling
- Unit Testing
- Performance Tuning
- Web Scraping
- Data Integrity
- Data Synthesis
- Python Programming
- User Accounts
- System Monitoring
- Data Mining
- Big Data
- Data Lakes
- Data Structures
- Dashboard
- Kubernetes
- MySQL
- PostgreSQL
- Data Ethics
- Data Integration
- Data Manipulation
- Data Mart
- Authentications
- Jupyter
- MongoDB
- JSON
- Data Processing
- Data Warehousing
- Database Systems
- Data Transformation
- Data Governance
- Data Security
- Test Data
- Data Strategy
- Data Quality
- Systems Design
- Data Analysis
- Pandas (Python Package)
- Application Programming Interface (API)
- Authorization (Computing)
- Docker (Software)
Learning content completed
Some of the content and skills presented have been contributed by the content provider.