Qwasar Silicon Valley

Qwasar’s Claris App Development program focuses on front-end and back-end development, as well as fundamentals in data structures and algorithms. Our comprehensive partner program with Claris is entirely project-based, meaning learners develop a technical portfolio as well as desired hard and soft skills. This program is part of our partnership with Claris and the wider Claris Developer community as well as the Claris Business Partner Alliance, including a group of companies who actively hire program graduates as Claris Developers and Interns. Learners will cover fundamental computer programming concepts including arrays, strings, algorithms, pointers, hash data structures, and software architecture, before moving on to focusing on front-end and back-end languages including Ruby, Ruby on Rails, Javascript, HTML, CSS, Typescript, React, PostgreSQL, REST APIs, and the Claris platform. Part of learning the Claris platform includes building apps on the platform and developing a portfolio of both full stack and app projects. Learners are also expected to complete 20-30 technical interview role plays to prepare for real job interviews, and undergo resume and cover letter reviews similar to peer code reviews. Overall, our Claris App Developer program is designed to train learners to Silicon Valley standards in Claris app development with an emphasis on structured problem solving, critical thinking, and extensive preparation for meeting employer demands for entry-level jobs. Please note, this program is approximately 9 - 12 months.

Qwasar’s Data Science program focuses on end-to-end data management and use from collection to business decision-making, as well as strong fundamentals in data structures and algorithms. Our comprehensive, elite program is entirely project-based, meaning learners develop a strong technical portfolio as well as desired hard and soft skills. Learners will cover fundamental computer programming concepts including arrays, strings, algorithms, pointers, hash data structures, and software architecture, before moving on to the fundamentals of data analysis and machine learning, data collection, cleaning, storage, analysis, display/visualization, and real-world use. We cover Python, Panda, Jupyter, Keras, and Tensor Flow, and projects become significantly more complex using large data sets that must also be optimized for implementation costs. Learners are also expected to complete 30-40 technical interview role plays to prepare for real job interviews, and undergo resume and cover letter reviews similar to peer code reviews. Overall, our Data Science program is designed to train learners to Silicon Valley standards in data science and engineering with an emphasis on structured problem solving, critical thinking, and extensive preparation for meeting employer demands for entry-level jobs. Please note, this program is approximately 9 - 12 months.