UMass Global Online Bootcamps by Springboard

The Data Analytics bootcamp curriculum is created in partnership with Microsoft. Bootcamp students will learn the fundamental business statistics concepts; analytics and visualization tools including Excel, SQL, Python, Microsoft Power BI, and Tableau; plus advanced analysis techniques. We will also teach you the strategic thinking required to become a successful analyst. Through these lessons you’ll learn how to break down complex problems so you can accurately test them, then structure your analysis around a central theme and present tangible business insights to key stakeholders. You will complete 20+ hands-on mini-projects, where you will apply core concepts in a hands-on manner. Units include: - Framing Structured Thinking - Analyzing Business Problems - Communicating Your Analysis - Connecting Data Using SQL - Visualizing Data Using Python

This Data Science Bootcamp is an intensive course with a 400+ hour curriculum designed around two portfolio-worthy capstone projects. You’ll learn the Data Science Method — the process that leads to successful data science projects — and have the option to choose from one of three specialization tracks where you can learn skills to help you stand out from the data science pack. The curriculum is split into 18 units covering the topics below, with a specialization that aligns with your data science career goals. - Python Data Stack - Data Wrangling - The Data Story - Statistical Inference - Machine Learning

In this fully online Machine Learning Engineering & AI Bootcamp, you will learn on your own time, from the comfort of your home. Finish early by putting in more time per week, without being tied down by class schedules. Design a machine/deep learning system, build a prototype and deploy a running application. You will receive a certificate of completion from University of Massachusetts Global. Units include: - Machine Learning Models - A Stack For Machine Learning Engineering - Data, The Fuel of Machine Learning - Machine Learning Models At Scale and In Production - Deep Learning - Ethics and Bias in Machine Learning

The Software Engineering bootcamp covers topics like JavaScript, Python, Flask, Node, React, data structures, and algorithms. Students will complete a final capstone project where they build a database-driven web app.