CEC 427 Fundamentals of Big Data Analytics Exam 2026

About this paper

CEC 427: First Semester Examination for CEC427, Fundamentals of Big Data Analytics, College of Technology, University of Buea, instructor Kometa, Software Engineering/Data Science option, Bachelor level, academic year 2025/2026 (2 February 2026, 10:30am-12:30pm, closed book). Section I (35 marks, Python and R theoretical concepts) covers data as the new crude oil, data analytics/big data/data mining/data engineering/BI and reporting/data science and their relation to the Cameroonian context, how big data can help Cameroon realize Vision 2035, key skills for data analytics and career paths in health informatics, the big data ecosystem and key roles, the analytics lifecycle, key roles for a successful analytics project, concepts like data wrangling/munging/OLAP/OLTP/EDW, types of regression (simple/multiple linear, logistic, non-linear, polynomial) and pipelines, descriptive statistics, ANOVA, correlation vs causation, and overfitting vs underfitting. Section II (35 marks, applied Python/R) covers differences between Python and R for data analytics, commands for loading data and handling duplicates/missing values in both languages, the full steps to build and test a model's accuracy in Python, interpreting an employee.csv table of names/roles/shifts/salaries/ages, and R code to create a scatter plot of age versus salary.