By DAVID VENTURI

I Dropped Out of School to Create My Own Data Science Master’s — Here’s My Curriculum

With the recent advances in affordable, reputable online education, going back to college/university seems irresponsible

Bridging Module

Bridging Module

Data Science Core

Three courses from the Udacity Data Analyst Nanodegree
What is a Udacity Nanodegree?

Machine Learning

Stanford University, TensorFlow (Google’s open source software library for machine learning), and The University of California, Berkeley

Software Engineering

Johns Hopkins University’s “Mastering Software Development in R Specialization” on Coursera

A lot of data science work is software engineering. Not always in the sense of designing robust systems, but simply writing software. A lot of tasks you can automate and if you want to run experiments, you have to write code, and if you can do it fast, it makes a huge difference.

As the field of data science evolves, it has become clear that software development skills are essential for producing useful data science results and products. You will learn modern software development practices to build tools that are highly reusable, modular, and suitable for use in a team-based environment or a community of developers.

Back End Development

Additional Resources

That’s it!

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