This fulltime, rigorous immersive program is focused on creating autonomous, fully capable software engineers. It builds expertise in a curated suite of technologies and concepts, each selected for their workplace utility and relevance to modern software engineering paradigms. Students learn new concepts, then immediately reinforce that knowledge by using it to build and test real software. All students will need to demonstrate a base knowledge of JavaScript fundamentals before starting the program. To test this, we conduct technical interviews with all candidates prior to acceptance, and require the completion of a rigorous pre-course curriculum.

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In this course, students will master the basics of data analytics through a blended-learning offering (which will include both self-study and in-classroom instruction). By the end of this program, students will be able to apply various data mining techniques, visualization, and data transformation for modeling. Students who want to dive deeper into data learning will be able to use this course as a primer for the Data Engineering Fundamentals course.

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This course was designed for students with a technical background looking to level up into the fast-growing field of Data Science. Students will build their data science expertise by leveraging real-world data sets and learning from industry experts with a Python-based curriculum. They will master relevant tools and techniques to solve actual business problems and advance their careers. This course culminates in students building and deploying a machine learning model to solve a real world problem of their choice.

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