Data Science

The program includes training in Statistics, Computer Programming, Data Visualization, Data Modeling, Big Data and Machine Learning. Learn how to create big impact as a Data Scientist by analyzing data that impacts key business decisions.


Our Data Science curriculum focuses on the fundamentals of computer science, statistics and applied mathematics, while incorporating real-world examples. Students will learn to balance the theory and practice of applied mathematics and computer science, allowing them to analyze and handle large-scale data sets.

You will also learn how to transform information to discover relationships and insights into complex data sets for today’s business world*.


We’ve developed a world-class online learning platform from the ground up with technology-based instruction in mind. You will learn our Data Science program by taking advantage of:

 HD Video Instruction
 Captivating Content
 Browser-based Labs
 1-on-1 Mentors


Woz U prepares students for successful, rewarding careers in the field of software engineering and we help get you there by employing:

 Woz U Connect – Online Employer Network
 1-on-1 Career Planning
 Custom Resume and Cover Letter Reviews
 Job Search and Interview Assistance


Woz U graduates are encouraged to return, free of charge, to refresh their knowledge in their chosen career track, learn new technologies and find new opportunities.


Class Concepts

Main Areas of Study

Basic Statistics Probability, Data Types, Common Distributions, Common Descriptive Statistics and Statistical Inference
Databases Foundational knowledge of database concepts, theory, and overview of various implementations and architectures
Programming Foundations Programming Foundations in a language heavily used in data science
Statistical Programming Basic scripting and data manipulation commands, introduction to a vast library of functions to perform various statistical analyses
Data Visualization Data wrangling and manipulation to meet the rigid requirements for analysis, graphical representation of data
Metrics and Data Processing Creation of new metrics to directly answer business questions, theory and practice of statistical process control
Intermediate Statistics Hypothesis testing under multiple scenarios, identification and verification of data requirements for hypothesis testing
Introduction to Big Data Foundational concepts of Big Data and how to move from Big Data basis to more business-specific needs and requirements
Machine Learning and Modeling Determine the best methods for a given set of data, use of common software tools to utilize these methods
Group Project Work as a team in a scrum environment to cover tasks and progress collectively and individually to meet project goals

Our Data Science program will position you to succeed in specialized jobs involving everything from the data pipeline and storage, to statistical analysis and eliciting the story the data tells. Download our Data Science Informational Handout.