Data Analytics Meta Skills Badge
The earner of this badge has a demonstrated understanding of data preparation, analytics principles, visualization, algorithms, and data structures. The earner has worked with Javascript Leaflet, Python Pandas, Python Flask, MySQL Database, Tableau, HTML/CSS, and JavaScript Plotly. Program instructional time was 250 hours with up to an additional 500 hours spent on projects.
Additional DetailsSkills
Earning Criteria
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Complete the UC Davis Continuing and Professional Education Data Analytics Boot Camp and meet attendance requirements for the course (95%).
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Complete the portfolio project for this course with a passing grade from the instructor. The portfolio project is an applied data analysis project with a digitally publishable data visualization.
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Passing the portfolio project includes the following criteria: Applied Machine Learning in the context of technologies learned. Uses sci-kit learn and/or another statistics/analytics library. Utilizes both analysis and visualization. Polished visualization. Meets good quality coding standards.
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Portfolio project used at least two of the following technologies: Python Pandas, Python Matplotlib, Python Flask, HTML/CSS/Bootstrap, JavaScript Plotly, Javascript D3.js, JavaScript Leaflet, MySQL Database, MongoDB Database, Google Cloud SQL, Amazon AWS, Tableau.
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Planning for the project includes the following criteria: Overview and value proposition. Detailed walkthrough of machine learning application. Jira, Trello, or Project Management Board with tasks, milestones, and ownership.