Degree · Computer Science and Information Systems
Big Data and Data Science(Degree)
Immerse yourself in the world of data analytics. Our quizzes guide you through data preprocessing, statistical analysis, and data visualization techniques. Prepare to extract valuable insights from massive datasets and contribute to data-driven decision-making
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Coming soon
Second Year · DS202Coming soon
Data Visualization and Storytelling
Data is useless if stakeholders can't understand it. This course teaches you the art and science of data storytelling using industry-leading tools like Power BI, Tableau, and Matplotlib. You will learn how to create interactive dashboards that help Zambian managers see the 'big picture' at a glance. We focus on choosing the right charts to communicate insights clearly and ethically. Mastering visualization turns you into a persuasive communicator who can drive business strategy. If you need a hand setting up your first professional dashboard or preparing for your practical exams, head over to 25schools for step-by-step visualization guides and student resources.
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Coming soon
Second Year · DS203Coming soon
Introduction to Big Data and Hadoop
When data gets too big for a single computer, we turn to Big Data technologies. This course introduces you to the Hadoop ecosystem, including HDFS and MapReduce, for distributed storage and processing. In Zambia's mining and energy sectors, where sensors generate massive amounts of real-time data, these skills are increasingly vital for operational efficiency. You will learn how to manage 'unstructured' data like text and images that traditional databases can't handle. To help you understand the architecture of distributed systems and prepare for your technical tests, visit 25schools for clear, simplified notes on the 3 V's of Big Data and Hadoop fundamentals.
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Coming soon
Second Year · DS201Coming soon
Statistical Inference and Predictive Modeling
Moving beyond basic counts, this course teaches you how to make scientific guesses about data. You will explore Probability Theory, Hypothesis Testing, and Regression Analysis to predict future trends, such as copper price fluctuations or consumer spending habits in Lusaka. These statistical tools are the backbone of data-driven decision-making in any modern business. Learning to interpret p-values and confidence intervals correctly is what makes a professional data scientist. To help you wrap your head around complex distributions and statistical proofs, 25schools offers comprehensive revision guides and mock exams to boost your performance in your second-year assessments.