Find the meaning in the math.
Data analysts design and execute experiments to measure important trends. How much inventory should we order this month, how much do customers typically spend on our website, are we allocating our marketing budget effectively? You’ll learn the right questions to ask and how to crunch the numbers.
About the Program
The Data Analytics program is designed to give students the opportunity to pursue a wide range of careers in business, finance, and healthcare. Learn data collection, information theory, computer programming, and math to solve challenging problems through a data-driven lens.
94% Success Rate
94% of bachelor’s degree students reported successful outcomes within six months of graduation.
Job growth above the national average for Data Analysts
Median annual salary for Data Analysts
Why study Data Analytics at Keystone?
Built in partnership with leading academics, the Data Analytics major is intended to give you comprehensive skills in data analysis, quantitative critical thinking, and experimental design. Your newfound understanding of data can shape the way you look at problems in a wide range of careers, such as business, finance and healthcare.
Sponsors, Professors, and Experts
Our Data Analytics major was built by some of the top academic and corporate minds in the industry.
Charles Severance holds a PhD in Computer Science from Michigan State University. He is the world’s leading online CS educator; his online courses graduate thousands of students a week. His contributions and curriculum form the backbone of many of our technology majors
Bellhop is the leading ride-share aggregator application. Bellhop shows you prices for your trip from Uber, Lyft, and over 200 other ride share services. Bellhop’s expertise in working with vast amounts of trip data was invaluable in helping to decide the courses to be included in this curriculum.
Data Analytics Course Descriptions
Computer Science Core I
This course will open up the Internet and show you how it was created, who created it, and how it works. You will be better informed about important technological issues currently facing society. You will realize that the Internet and Web are spaces for innovation and you will get a better understanding of how you might fit into that innovation.
Computer Science Core II
This course aims to teach everyone the basics of programming computers using Python. We cover the basics of how one constructs a program from a series of simple instructions in Python. We will explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform data analysis.
Computer Science Core III
This course teaches students about the fundamentals of data access, data management, and expands upon the topics learned in CSC II. In the first half of the course, students will learn how to leverage their Python skills to treat the internet as a source of data. Students will work with HTML, XML and JSON data formats in Python.
Computer Science Major III
This course will teach students fundamental data structures using Python. Data structures allow for the storage of vast quantities of data, as well as efficient access to and modification of said data. Students will learn what a data structure is, how to perform a range of operations on them, and be introduced to the study of algorithms as it pertains to the covered data structures.
Data Analytics I
In an increasingly data-driven world, everyone should be able to understand the numbers that govern so much of our lives. Students will learn the core concepts of inference, data analysis and computing by working with real economic, social and geographic data. Particular attention will be paid to Bayes’ Theorem – one of the most important concepts in applying statistics to the real world. Lastly, this course will cover the implications and dangers of bias in data.
Data Analytics II
In an increasingly data-driven world, everyone should be able to understand the numbers that govern so much of our lives. Students will learn the core concepts of inference, data analysis and computing by working with real economic, social and geographic data. This course will also provide students with an introduction to the applications of Data Analytics in the workforce, with specific attention paid to the role of the Data Scientist or Analyst, and to the application of Big Data.
Data Analytics III
Data Analytics combines data, computation and inferential thinking to solve challenging problems and understand their intricacies. This class explores key principles and techniques of data science, and teaches students how to create informative data visualizations. It also explores particular concepts of Linear Algebra which are central to Data Science.
Data Analytics IV
This course builds on Principles and Techniques of Data Analytics I to provide students with a more robust understanding of the tools of a Data Scientist. Data Analytics combines data, computation and inferential thinking to solve challenging problems to thereby better understand the world. This class explores key principles and techniques of data science, including quantitative critical thinking and algorithms for machine learning methods. It will also introduce students to the ways in which data analytics is deployed in healthcare, marketing, political science, criminal justice, and other fields.
Data Analytics V
This course is a capstone project in which students are asked to work through a full data science workflow on a set of real data drawn from sports, politics, business or public health. This course exists to prepare students for the kind of work they will do on Data Science or Analytics teams, and as such, also features an emphasis on interviewing for jobs in the space and communicating results to stakeholders.
Real World Experience
From internships and experiential learning opportunities to travel and conferences, you’ll have many opportunities to conduct real-world experiences, work with your peers and mentors in your chosen field, and learn first-hand the latest skills to succeed in the real world.