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Data Science Bootcamp
This bootcamp provides a structured, hands-on introduction to data science, focusing on both technical and analytical skills. Learners begin with Python programming and progress to exploratory data analysis (EDA) using Pandas for data cleaning, preprocessing and visualization. The course covers descriptive and inferential statistics, hypothesis testing and regression modelling to develop real-world analytical insight. Participants will also explore machine learning fundamentals through linear and logistic regression, model validation and evaluation techniques. The program concludes with a capstone project where learners analyze real datasets, communicate insights and present findings. By integrating tools, methods and case studies, graduates gain the practical skills and confidence to pursue roles such as data analyst, junior data scientist, or business intelligence associate.
Open to diploma or degree holders from any discipline with basic computer literacy. No prior coding experience is required. Suitable for beginners, career switchers, and working professionals interested in learning data analysis, statistics, and Python programming. Applicants should have a keen interest in problem-solving, analytical thinking, and exploring data-driven decision-making to prepare for roles in data and technology fields.
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