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Year 4 · DAN401Coming soon

Advanced Analytics for Decision Making

This capstone-level course focuses on applying a suite of advanced analytical techniques—including optimization, simulation, and time-series forecasting—to solve complex business and policy problems. Students learn to frame decision problems quantitatively, build models, and interpret results to recommend optimal courses of action. This expertise is crucial for senior roles such as Decision Scientist, Strategy Consultant, or Policy Advisor, enabling them to optimize supply chains for retailers, forecast tax revenue for the Zambia Revenue Authority (ZRA), or plan infrastructure investments for the Road Development Agency (RDA). 25schools provides advanced, scenario-based case studies from Zambian industry, model-building frameworks, and guides on presenting analytical recommendations, equipping final-year students with the strategic thinking skills needed for exams and high-impact careers.

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Year 4 · DAN403Coming soon

Applied Data Analysis Capstone Project

This culminating course requires students to integrate all skills learned by executing a substantial, real-world data analysis project from problem definition to presentation of insights. Working with a dataset from a Zambian organization or public domain, students will clean, analyze, model, and visualize data to answer a meaningful business or social research question, producing a professional report and interactive dashboard. This experience is transformative, simulating the work of a Data Analyst and building a powerful portfolio piece for job applications at firms like ZRA, KPMG Zambia, or leading corporations. 25schools supports this major undertaking with a structured project management guide, mentorship on stakeholder communication, and examples of successful capstone projects, ensuring students are fully prepared to deliver excellent work, defend their methodology in final assessments, and launch their data careers with confidence.

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Year 3 · DAN303Coming soon

Big Data Technologies and Concepts

This course explores the ecosystem of tools and architectures designed to handle data that is too large, fast, or complex for traditional databases. Students are introduced to the Hadoop ecosystem, Spark for in-memory processing, and NoSQL databases, with emphasis on conceptual understanding and use cases. Knowledge of big data paradigms is increasingly important for IT Architects, Data Engineers, and Analysts in Zambia working with high-volume data from mobile money transactions (like Zoona), IoT sensors in Agriculture and Mining, or social media analytics. 25schools breaks down these complex distributed systems with clear architectural diagrams, cloud-based lab exercises, and case studies on global and local big data applications, preparing students for advanced exams and the technological evolution of the data landscape in Zambia.

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Year 3 · DAN302Coming soon

Business Intelligence and Dashboard Development

This applied course focuses on building end-to-end Business Intelligence (BI) solutions. Students learn to design data models, create Extract-Transform-Load (ETL) workflows, and develop interactive, enterprise-level dashboards using platforms like Microsoft Power BI or Tableau. This skill set is critical for BI Developers, Reporting Analysts, and Operations Managers in Zambian corporations seeking to monitor KPIs in real-time, from production efficiency at Mopani Mines to network performance at MTN. 25schools provides a project-based learning kit, including simulated business requirements from Zambian companies, step-by-step dashboard construction tutorials, and performance optimization tips, offering students at UNZA and Apex comprehensive preparation for exams and portfolio projects that demonstrate immediate value to employers.

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Year 4 · DAN402Coming soon

Data Ethics, Governance, and Zambian Policy

This critical course examines the legal, ethical, and professional responsibilities of data practitioners. Students explore topics of data privacy, security, algorithmic bias, and intellectual property, with specific reference to Zambia's Data Protection Act and global regulations like GDPR. Understanding this framework is non-negotiable for Data Protection Officers, Compliance Managers in Banking and Telecom, and Government Policy Makers shaping Zambia's digital future. The course prepares professionals to build trust and ensure responsible data use. 25schools delivers essential resources, including analyses of Zambian data legislation, ethical decision-making frameworks, and case studies on data breaches or biased algorithms, providing final-year students at CBU and UNZA with the knowledge to excel in exams and uphold the highest standards in their professional practice.

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Year 2 · DAN202Coming soon

Data Visualization and Communication

This course teaches the art and science of transforming complex analysis into clear, compelling, and truthful visual stories. Students learn design principles, how to choose the right chart type, and gain hands-on experience with tools like Tableau, Power BI, and Python's Seaborn/Plotly libraries. The ability to create insightful dashboards and reports is essential for Business Intelligence Analysts presenting to management at ZESCO or Zanaco, for Monitoring & Evaluation Specialists in NGOs, or for Policy Analysts in government ministries communicating findings to stakeholders. 25schools enhances learning with critiques of real-world visualizations, templates for creating dashboards relevant to Zambian sectors, and guides on ethical visualization, helping students at UNZA and Apex excel in practical assignments and exams while building a persuasive communication skill set.

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Year 2 · DAN201Coming soon

Data Wrangling and Preprocessing

This course focuses on the critical, real-world task of transforming raw, messy data into a clean, analysis-ready format—a process that can consume up to 80% of a data analyst's time. Students gain proficiency in handling missing values, detecting and correcting errors, merging datasets, and reshaping data using tools like Python's Pandas and SQL. This skill is invaluable for Data Quality Officers at institutions like the Zambia Statistics Agency (ZamStats), for analysts in the Mining sector consolidating production data, or for consultants preparing data for client reports. 25schools provides practical, scenario-based exercises using typical Zambian data challenges, checklists for data cleaning pipelines, and guides on dealing with common data entry issues, offering students at CBU and Mulungushi University crucial preparation for exams and the pragmatic demands of the workplace.

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Year 1 · DAN102Coming soon

Descriptive and Inferential Statistics

This core course covers the statistical techniques essential for summarizing datasets and making predictions from samples to populations. Students master descriptive statistics (measures of central tendency, dispersion) and inferential statistics, including probability distributions, hypothesis testing, confidence intervals, and correlation analysis. Applying these methods is crucial for roles such as Market Research Analyst in the Telecom sector, Operations Analyst for mining companies like KCM, or Public Health Data Officer with the Ministry of Health to analyze disease prevalence. 25schools demystifies complex statistical concepts with step-by-step calculation guides, worked examples using Zambian demographic or economic data, and extensive problem sets with solutions, providing targeted support to help students at Apex and other universities conquer challenging exams and build a robust analytical toolkit.

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Year 1 · DAN101Coming soon

Foundations of Data Literacy

This introductory course establishes the critical mindset and fundamental skills required to understand, interpret, and communicate with data in today's information-driven world. Students learn to identify different data types, understand basic metrics, recognize biases in data collection, and interpret common charts and graphs. For Zambian professionals across all sectors—from analyzing agricultural yield reports for the Ministry of Agriculture to interpreting sales data for Airtel or MTN—data literacy is a foundational competency. The course also introduces the ethical implications of data use in society. 25schools provides essential, simplified learning resources, including glossaries of key terms, real-world examples from Zambian business and government reports, and practice exercises to help students at UNZA, CBU, and Mulungushi University build confidence for exams and begin their journey as data-savvy professionals.

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