Ementorhub

What you'll learn

Practice software engineering fundamentals; test first development, refactoring, continuous integration, and continuous delivery.

Architect and create a big data or distributed system using rest collaboration, event collaboration, and batch processing.

Create a performant, scalable distributed system that handles big data.

Skills you'll gain

Unit Testing

Application Deployment

Databases

Functional Requirement

Software Architecture

Data Analysis

System Design and Implementation

Software Engineering

Scalability

Acceptance Testing

Software Testing

Restful API

Data Architecture

Application Development

Systems Architecture

Web Applications

There are 4 modules in this course

You will apply the basics of software engineering and architecture to create a production-ready distributed system that handles big data. You will build data intensive, distributed system, composed of loosely coupled, highly cohesive applications. This course can be taken for academic credit as part of CU Boulder’s MS in Data Science or MS in Computer Science degrees offered on the Coursera platform. These fully accredited graduate degrees offer targeted courses, short 8-week sessions, and pay-as-you-go tuition. Admission is based on performance in three preliminary courses, not academic history. CU degrees on Coursera are ideal for recent graduates or working professionals. Learn more: MS in Data Science: https://www.coursera.org/degrees/master-of-science-data-science-boulder MS in Computer Science: https://coursera.org/degrees/ms-computer-science-boulder

MVP & Development Environment

Affixing Features

Scaling your MVP & Wrapping Up