Data Engineering(Degree)

This course provides comprehensive training in Apache Spark, the leading unified analytics engine for large-scale data processing. Students learn to process petabytes of data across clustered computers using Spark's core APIs (RDD, DataFrame, Dataset) for batch processing and Spark Streaming for near-real-time analytics. Mastery of Spark is essential for Data …

This course provides comprehensive training in Apache Spark, the leading unified analytics engine for large-scale data processing. Students learn to process petabytes of data across clustered computers using Spark's core APIs (RDD, DataFrame, Dataset) for batch processing and Spark Streaming for near-real-time analytics. Mastery of Spark is essential for Data Engineers in Zambia handling massive datasets from mobile network operators (Airtel), IoT deployments in smart agriculture, or geospatial data for the Road Development Agency (RDA). 25schools demystifies distributed computing with simplified explanations of Spark architecture, hands-on labs using cloud-based clusters, and optimization guides for writing efficient Spark jobs, providing students at CBU and other institutions with the advanced skills to pass exams and tackle big data challenges in the local market.

This course focuses on building and deploying data pipelines using cloud-native services from major providers like Amazon Web Services (AWS) and Microsoft Azure. Students gain hands-on experience with services such as AWS Glue, Azure Data Factory, Redshift, Synapse Analytics, and cloud object storage (S3, ADLS). As Zambian enterprises and government …

This course focuses on building and deploying data pipelines using cloud-native services from major providers like Amazon Web Services (AWS) and Microsoft Azure. Students gain hands-on experience with services such as AWS Glue, Azure Data Factory, Redshift, Synapse Analytics, and cloud object storage (S3, ADLS). As Zambian enterprises and government departments increasingly adopt cloud solutions for scalability and cost-efficiency, this expertise is crucial for Cloud Data Engineers and Architects. 25schools provides guided projects for deploying Zambian-focused data solutions in the cloud, cost-optimization strategies, and certification prep materials for AWS/Azure exams, helping students at UNZA and Mulungushi University bridge the gap between academic concepts and the in-demand technical stack used by global and local companies operating in Zambia.

This culminating project course requires students to integrate all acquired knowledge to design, build, document, and present a fully functional, production-like data engineering system. Working with a real or simulated dataset from a Zambian context (e.g., utility data from ZESCO, mobile data from MTN), students will implement a complete pipeline—from …

This culminating project course requires students to integrate all acquired knowledge to design, build, document, and present a fully functional, production-like data engineering system. Working with a real or simulated dataset from a Zambian context (e.g., utility data from ZESCO, mobile data from MTN), students will implement a complete pipeline—from raw data ingestion through transformation, storage in a cloud data warehouse/lakehouse, and finally serving to a BI dashboard. This experience simulates the end-to-end responsibilities of a Data Engineer and creates a compelling portfolio piece. 25schools supports this major undertaking with a structured project roadmap, best-practice checklists for production readiness, and mentorship guides, ensuring students at Mulungushi, UNZA, and CBU are fully prepared to deliver exceptional work, defend their architectural choices in final assessments, and confidently enter Zambia's growing data technology workforce.

This foundational course introduces the core principles, roles, and responsibilities of a Data Engineer within the modern data ecosystem. Students learn the data pipeline lifecycle—from ingestion and transformation to storage and serving—and compare batch versus streaming architectures. The course establishes the critical importance of reliable, scalable data infrastructure for Zambian …

This foundational course introduces the core principles, roles, and responsibilities of a Data Engineer within the modern data ecosystem. Students learn the data pipeline lifecycle—from ingestion and transformation to storage and serving—and compare batch versus streaming architectures. The course establishes the critical importance of reliable, scalable data infrastructure for Zambian organizations, enabling data-driven decision-making in sectors like Mining (KCM, Mopani), Telecom (Airtel, MTN), and Public Services (ZESCO, ZRA). 25schools provides essential introductory resources, including simplified architecture diagrams, real-world use cases from Zambian industries, and foundational problem sets to help students at UNZA, CBU, and Mulungushi University build a solid conceptual understanding and prepare for their first-year exams in this high-demand field.

This course addresses the non-technical pillars of successful data engineering: governance, quality assurance, and operational excellence (DataOps). Students learn to implement data lineage tracking, define and monitor data quality rules (completeness, validity, consistency), and establish CI/CD practices for data pipelines. In Zambia's regulated sectors like Banking and Telecommunications, or for …

This course addresses the non-technical pillars of successful data engineering: governance, quality assurance, and operational excellence (DataOps). Students learn to implement data lineage tracking, define and monitor data quality rules (completeness, validity, consistency), and establish CI/CD practices for data pipelines. In Zambia's regulated sectors like Banking and Telecommunications, or for public data held by ZRA, robust governance is mandatory. This knowledge prepares graduates for roles as Data Stewards, Quality Engineers, or Platform Reliability Engineers. 25schools delivers crucial frameworks for building a data governance program, tools for automated data quality testing, and case studies on regulatory compliance, equipping final-year students at UNZA and CBU with the holistic understanding required for exams and for building trustworthy, maintainable data infrastructure.

This course covers the systematic design of data storage systems for analytical processing, moving beyond transactional databases. Students master dimensional modeling concepts (star and snowflake schemas), learn to design fact and dimension tables, and apply data warehouse architecture patterns (Kimball, Inmon). This skill is fundamental for building the centralized reporting …

This course covers the systematic design of data storage systems for analytical processing, moving beyond transactional databases. Students master dimensional modeling concepts (star and snowflake schemas), learn to design fact and dimension tables, and apply data warehouse architecture patterns (Kimball, Inmon). This skill is fundamental for building the centralized reporting systems needed by Zambian government bodies like the Zambia Revenue Authority (ZRA) for tax analytics or the Ministry of Health for health informatics. 25schools provides detailed design exercises, case studies on modeling Zambian business domains (e.g., retail, mining production), and entity-relationship diagramming tools, offering students at Mulungushi University and CBU the theoretical and practical knowledge required to excel in exams and design scalable data platforms.

This course focuses on the critical operational skill of orchestrating complex, interdependent data workflows using industry-standard tools like Apache Airflow. Students learn to define workflows as directed acyclic graphs (DAGs), schedule tasks, handle dependencies, monitor pipeline health, and manage alerts. Reliable orchestration is the backbone of any mature data platform, …

This course focuses on the critical operational skill of orchestrating complex, interdependent data workflows using industry-standard tools like Apache Airflow. Students learn to define workflows as directed acyclic graphs (DAGs), schedule tasks, handle dependencies, monitor pipeline health, and manage alerts. Reliable orchestration is the backbone of any mature data platform, ensuring that data for daily reports at the Ministry of Health or executive dashboards at Dangote is accurate and timely. 25schools provides practical, scenario-based learning with DAG templates for common Zambian business processes, guides on best practices for logging and error notification, and exercises in pipeline monitoring, offering students the operational mindset and technical skills needed to pass exams and succeed as production Data Engineers.

This course delves into the heart of data engineering: designing, building, and maintaining reliable ETL/ELT pipelines. Students learn to extract data from diverse sources (APIs, logs, databases), apply complex transformation logic for cleaning and business rules, and load data into target systems. The course emphasizes idempotency, error handling, and data …

This course delves into the heart of data engineering: designing, building, and maintaining reliable ETL/ELT pipelines. Students learn to extract data from diverse sources (APIs, logs, databases), apply complex transformation logic for cleaning and business rules, and load data into target systems. The course emphasizes idempotency, error handling, and data quality checks—critical for maintaining trust in data used by executives at companies like MTN or KCM. 25schools supports this complex subject with step-by-step guides to building pipelines using tools like Apache NiFi or custom Python frameworks, data validation strategy templates, and troubleshooting exercises, equipping students at UNZA and Apex with the design patterns needed for both academic projects and industrial-strength data solutions in Zambia.

This hands-on course focuses on using Python as the primary tool for building robust, automated data pipelines. Students learn core Python programming, then specialize in libraries critical for engineering: Pandas for data wrangling, PySpark for distributed processing, SQLAlchemy for database interaction, and Apache Airflow for workflow orchestration. The ability to …

This hands-on course focuses on using Python as the primary tool for building robust, automated data pipelines. Students learn core Python programming, then specialize in libraries critical for engineering: Pandas for data wrangling, PySpark for distributed processing, SQLAlchemy for database interaction, and Apache Airflow for workflow orchestration. The ability to script automated data processes is invaluable for Data Engineers optimizing operations in Zambia's Energy sector (ZESCO) or managing logistics data for Construction and Mining companies. 25schools enhances learning with project-based tutorials, such as building a pipeline to process mobile money transaction logs or sensor data from industrial equipment, providing students at UNZA and CBU with practical coding skills and portfolio projects essential for passing exams and securing internships.