Data Analytics Engineering Graduate Certificate

Overview

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Data is revolutionizing how industries address challenges, optimize processes, and make informed decisions. Northeastern University’s Data Analytics Engineering Graduate Certificate provides professionals with the essential technical skills and practical knowledge to transform data into actionable insights. Tailored for learners with backgrounds in engineering, computer science, or related fields, this program integrates statistical analysis, data visualization, and data mining techniques with real-world applications across engineering, healthcare, manufacturing, and more.

Syllabus

Course 1: Foundations for Data Analytics Engineering
- Prepares students for advanced data analytics engineering through probability, eigenvalues/eigenvectors, clustering, text mining, and time series analysis. Students learn modern data structures and computational methods for data cleaning and wrangling. [Learn more](https://online.northeastern.edu/certificates/data-analytics/)

Course 2: Computation and Visualization for Analytics
- Teaches visualization tools and techniques for data exploration, knowledge discovery, and decision making across engineering, healthcare, and manufacturing. Covers Python and R for data mining and visualization, including static and interactive charts that reveal patterns through color encoding, shape selection, layout, and annotation. [Learn more](https://online.northeastern.edu/certificates/data-analytics/)

Course 3: Data Management for Analytics
- Covers database management theory and applications for data analytics, machine learning, and AI. Topics include database design, data storage, warehousing, governance, relational and NoSQL databases, data integration, quality, and big data processing. [Learn more](https://online.northeastern.edu/certificates/data-analytics/)

Course 4: Machine Learning and Data Analytics
- Covers data mining theory and applications in engineering. Topics include data preprocessing, association rules, classification, prediction, clustering, and complex data exploration. Discusses applications across manufacturing, healthcare, business, and service sectors. [Learn more](https://online.northeastern.edu/certificates/data-analytics/)