University of Maryland, Baltimore County Courses

NoSQL Databases

1 review

Build a foundation of the four NoSQL (non-relational) databases: Document-oriented, Key-Value Pair, Column-oriented, and Graph.

• edX
• 6 weeks, 8-10 hours a week
• On-Demand
• Free Online Course (Audit)

Relational Database Design

Learn how to design relational databases, including many popular relational database models. Relational database normal form will also be covered, so your design will conform to industry best practices.

• edX
• 5 weeks, 8-10 hours a week
• On-Demand
• Free Online Course (Audit)

Cybersecurity Essentials

This course introduces basic cybersecurity concepts.

• edX
• 5 weeks, 7-10 hours a week
• On-Demand
• Free Online Course (Audit)

Integrated Cybersecurity: From Physical Safeguards to Digital Forensics and Governance

This course examines a wide range of topics in cybersecurity, including physical security, physical access control, vulnerability scans, digital forensics, and security standards and frameworks.

• edX
• 4 weeks, 5-7 hours a week
• On-Demand
• Free Online Course (Audit)

Data Preprocessing for Data Science

Learn essential techniques for cleaning, transforming, and preparing data for analysis and machine learning using Python, NumPy, and scikit-learn.

• edX
• 4 weeks, 5-7 hours a week
• On-Demand
• Free Online Course (Audit)

Next-Gen Security: Mobile, IoT, and Cloud

This course introduces wireless transmission, attacks on wireless transmission, and defenses against these attacks. It also introduces the concept of Cloud security.

• edX
• 5 weeks, 5-7 hours a week
• On-Demand
• Free Online Course (Audit)

Relational Database Management Systems

7 ratings at edX

Learn how to create and interact with a relational database. The course includes Data Definition Language (DDL) used for database creation and Data Manipulation Language (DML) used for inserting, updating and deleting data in the database.

• edX
• 8 weeks, 8-10 hours a week
• On-Demand
• Free Online Course (Audit)

Supervised Learning

Master supervised learning algorithms like KNN, SVM, and Random Forest using Sklearn in Python, focusing on practical implementation and real-world problem-solving applications.

• edX
• 6 weeks, 5-7 hours a week
• On-Demand
• Free Online Course (Audit)