Choose a Learning Track
Corporate Course Catalog
Python Foundations for Scientists and Engineers
Gain hands-on coding experience and foundational knowledge of how use Python and key scientific Python libraries for data processing, analysis, and visualization.
Data Management for Scientists & Engineers
Data is a valuable scientific resource. In this course you will learn best practices about data stewardship as well as the digital skills needed to store, retrieve, and manage data.
Data Analysis for Scientists & Engineers
From an overview of a typical data analysis workflow and foundational ideas, apply your understanding of major concepts through exercises with NumPy, Pandas, and XArray. Through a practicum, develop a data analysis workbook that can be applied in real-world projects.
Data Visualization for Scientists & Engineers
Survey, explore, and create explanatory visualizations that facilitate communications with multiple techniques for visualizing data. By the end of the course, apply new skills to create a Jupyter notebook for exploring and explaining a scientific data set.
Machine Learning for Scientists & Engineers
Acquire skills in the basics of machine learning using problems drawn from science and engineering data sets. The course focuses primarily on supervised learning, regression, classification, and unsupervised machine learning strategies.
Deep Learning for Scientists & Engineers
Gain a practical introduction to deep learning using Keras and TensorFlow with focus on the fundamental model architecture: the neural network.
Software Engineering for Scientists & Engineers
In this short course on the critical art of writing maintainable software, learn best practices for making quality software that can be used, referenced, and kept in working order.
Desktop Application Prototyping for Scientists & Engineers
This course is a workshop in building a data entry tool and an interactive data visualization tool. Gain practical experience building working desktop applications to assist with R&D efforts.
Web Application Prototyping for Scientists & Engineers
Discover why web-based tools are great for communicating research results and for sharing analyses and tools with colleagues (without the need to install additional software on a laptop or desktop). Learn the basic technologies of the web and how to interact with them from Python.
Digital Transformation for Scientists & Engineers
In the culminating course of the Manager Track, students are taught how to think about digital transformation in organizations. How do digital skills help transform scientific R&D? What organizational mind-shifts are needed for successful digital transformation? How to lead and foster the di
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