University of Maryland Global Campus 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 Maryland Global Campus. 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 curriculum covers the core principles of development, the most in-demand tools and technologies, and will teach you the best practices you’ll need to land a job in the tech industry. You’ll learn software development from Colt Steele, named Udemy’s best new instructor in 2016. Colt will teach JavaScript, Python, React, Node, and much more - and you’ll apply each and every concept through hands-on exercises and projects. You’ll graduate the course with a custom capstone project, created with the tech stack of your choice, which will be the centerpiece of your portfolio. You'll also have the option to complete nine career units which cover finding the right job titles and companies, networking fundamentals, writing resumes and cover letters, conducting mock interviews, and 60 hours of technical interview prep, including in-depth preparation for whiteboarding and coding interviews.

The UI/UX Design bootcamp curriculum covers design tools, such as Sketch, Figma, and Adobe XD as well as sketching, wireframing, guerilla usability testing, responsive design, prototyping, and evaluative user research methods. Bootcamp students will have the option to complete four portfolio projects, including a design sprint. Bootcamp students may be matched with a real company to complete a 40-hour industry design project that includes identifying a customer problem to solve, competitive research, prototype design, usability testing, and improvement identification.