Our program prepares you to enter the workforce quickly and affordably while providing you with lifelong resources to ensure your long-term success.
Programming skills in the most sought-after languages for data science (Python, R, and Jupyter Notebook)
Management of data systems including SQL and NoSQL with Mongo
Understand the foundations of statistical and computational techniques to derive meaningful data to meet business needs
Machine learning and Big Data principles using decision trees and modeling techniques
Navigate all parts of the data science pipeline, including data engineering, preparation, analytics, and operations
Project management skills as they relate to working with a technical team
Data Analyst, Data Architect, Data Engineer, Statistician, Database Administrator, Machine Learning Engineer, Business Analyst, Data and Analytics Manager
ENROLL NOWLearn what it means to be a data scientist. Understand the basics of data and perform your first analyses and visualizations
Learn how to design, store, and manipulate databases. Students will work with both relational (SQL) and non-relational databases
Predict future events and reduce risk through supervised and unsupervised machine learning and modeling techniques
Learn common programming concepts in Python such as lists, loops, dictionaries, and functions
Learn Jupyter Notebook and analysis prep work, then become a wizard at visualization with Tableau
Learn Big Data concepts like MapReduce and learn Amazon Web Services to use Spark
Use R to manipulate, analyze, and visualize data
Learn how to create new metrics for businesses and the basics of Agile Project Management
Learn what it means to be a data scientist. Understand the basics of data and perform your first analyses and visualizations
Utilize advanced statistical analyses to draw insight from data
