Program in Data Science

Get ready to fill a variety of data scientist roles in tech, health care, defense, finance, business and many others.

By completing this program, you will be able to:

• Apply statistics and probability essentials to manipulate and preprocess data for feature transformation, dimensionality reduction and model evaluation.
• Utilize essentials of linear algebra and multivariate calculus in machine learning to preprocess, transform and evaluate a variety of features and predictors for data models.
• Employ machine learning algorithms and objective functions for optimization experiments and predictive modeling, such as cost/objective, likelihood, error and gradient descent.
• Master essential Python programming skills for data scientists.
• Use a multitude of supporting programming languages and tools for data analytics methodologies and procedures.
• Demonstrate proficiency with essential data analytics methodologies and procedures such as data wrangling and preprocessing.
• Create data visualizations and communicate insights to stakeholders.
• Perform experiments for continuous variable prediction and discrete variable prediction, and make predictions using machine learning algorithms.