Data Science Competency

Our curriculum is organized around six core competencies. Each category contains modules designed to build specific, in-demand data science skills. Click on a card to learn more!

Data Engineering

Data Engineering

Build and maintain the scalable systems and pipelines that collect, store, and process large volumes of data.

Data Wrangling

Data Wrangling

Clean, transform, and map raw data into a structured format suitable for analysis and model building.

Data Mining

Data Mining

Discover hidden patterns, valuable insights, and meaningful knowledge from large and complex datasets.

Statistical Foundation

Statistical Foundation

Apply statistical principles and hypothesis testing to analyze data, interpret results, and ensure valid conclusions.

Programming Skills

Programming Skills

Use coding languages like Python and R to implement algorithms, automate tasks, and create data-driven applications.

Model Building

Model Building

Create, train, and refine predictive models to forecast future trends and make data-informed decisions.

Explore Our Modules

This page features a comprehensive collection of modules curated by our partners at KDSC. These resources include lecture slides, interactive tutorial content, and hands-on workshop materials, designed to enhance your learning and expertise in data science competency.

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