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Computing
Essential computing skills for modern work and study. Topics include programming basics, data structures, algorithms, and tools for automation and analysis. Suitable for beginners and those who want to use computing effectively in their role.
Data Science
From data collection to deployment, learn the full data science lifecycle. We focus on Python and R, machine learning fundamentals, and real-world projects. You’ll work with structured and unstructured data, build models, and communicate results to stakeholders.
Statistics
Build a strong foundation in statistical methods and data interpretation. Our courses cover descriptive and inferential statistics, hypothesis testing, regression analysis, and practical applications in business and research. Learn to turn raw data into clear insights and evidence-based decisions.
LES Descriptive Statistics Articles
Basic statistics is the mathematical science of collecting, analyzing, interpreting, and presenting data. It is divided into two main branches: descriptive statistics, which summarizes the features of a dataset, and inferential statistics, which uses those samples to draw conclusions about a larger population.
