This is a shared GitHub space for the Codeup Alumni of #MirzakhaniCohort. The initial Readme file is designed to compare GitHub statistics across the Cohort by using Platform as a Service (PaaS) applications by Herokuapp and Komorev with quicklinks to individual relevant pages (LinkedIn|GitHub|Codeup Alumni) using graphic buttons by shields.io.
At Codeup we each learned a combination of math & statistics, business expertise, and programming, as well as how to work hands-on throughout the entire data science pipeline: planning, acquisition, preparation, exploration, modeling, and delivery. Our curriculum was crafted alongside employers to make sure we learned what was needed on the job. Those topics included:
Applied Statistics | SQL | Python | Regression |
Classification | Clustering | Time Series Analysis | Anomaly Detection |
Language Processing | Machine learning | Advanced Topics | Storytelling with Data |
Domain Expertise Development | Capstone Project and Presentation |
Our instruction was Hands-On & Project-Based where we learned how each technology works together and how they are applied to real projects. Starting from the beginning, we solved simple challenges with our new skills, then with the addition of more tools and techniques we progressively delivered more detailed insights on more complex projects.
Rest assured that each of us are certified graduates of a fully-immersive, project-based 22-week Data Science career accelerator that provided us with 670+ hours of expert instruction in applied data science. We have developed expertise across the full data science pipeline and have become comfortable working with real, messy data to deliver actionable insights to diverse stakeholders.