Complete MATH-180 and CMIT-135
Explore Data Science
Learn how to work with Big Data to gain insight and solve problems, and enter the in-demand data science field with a credential employers will respect with Champlain's online data science certificate.
We understand how important it is for busy working adults to gain knowledge and expertise quickly, which is why our data science certificate coursework is applicable to the workplace from day one. Whether you've already earned an undergraduate degree or you're currently pursuing your bachelor's degree, an online data science cybersecurity certificate is a great way to earn a credential in the field, get your resume noticed, and demonstrate proficiency in a focused area of knowledge.
Academic Excellence and Recognition
Regionally accredited by the New England Commission of Higher Education
Ranked among the Best Online Bachelor’s Programs by U.S. News & World Report
Designated as a Military Friendly School for our commitment to the military community
Named the Best Private Online College by Intelligent.com
Gain New Skills With a Certificate
Computer and information technology occupations are projected to grow 12% from 2018 to 2028, much faster than the average for all new occupations.*
*Source: Bureau of Labor Statistics (BLS), 2019
Top Reasons To Pursue a Certificate
- Enter a new field
- Build new skills
- Gain knowledge on your way toward a degree
- Differentiate your resume
- Earn a credential
- Demonstrate proficiency in a focused area of learning
Learn more about Champlain's 100% online data science undergraduate certificate, designed for working professionals.
Champlain's online data science courses encompass the top skills needed by today's IT professionals.
How to collect, organize, analyze, and interpret data in order to make decisions about the world. Topics include descriptive statistics, probability, discrete probability distributions, normal probability distributions, confidence intervals, hypothesis testing with one sample, hypothesis testing with two samples, correlation, regression, chi square tests, and analysis of variance.
From day one, students in this course are problem solving, first in terms of algorithmic design and then as early as week two via programming in the latest version of Python, using PyCharm. Students begin by writing a program to have a conversation, having strings and numbers as input, and advance, by week seven, to building a working password saver program, capable of looking up, adding (and encrypting), and storing passwords.
Data analysis is a challenging, interdisciplinary process that requires an understanding of how data is generated, analyzed, interpreted, and presented. In this course students explore introductory data analysis techniques using relevant languages and tools to extract meaning from data to produce and inform solutions.
Python is a programming language with broad appeal because of its accessibility, community, sponsorship and utility. In this course students learn additional Python programming concepts and further develop their skills. Students progress from lists and basic structures to Object Oriented Programming, including objects, classes, encapsulation, abstraction modularity, memory management, inheritance and polymorphism. Students also learn advanced Python language features such as iterators and generators, along with error and exception handling.
Advanced data analysis requires data to be retrieved, sorted, filtered, and more using relevant languages and tools. In this course students explore advanced data analysis techniques such as joining and manipulating tables, and constructing queries and sub-queries. Students also learn to evaluate the results and quality of analyses, and communicate outcomes effectively.
Complete DATA-200 and CMIT-235
Data mining is a multidisciplinary field focused on discovering patterns and associations in data. In this course students gain proficiency in supervised data mining techniques for building prediction models including decision trees, random decision forests, bootstrapping, training and testing using multi-fold cross validation and using entropy measures for weighting features. Students also learn to use unsupervised data mining techniques such as clustering and association analysis.
Graduates of the online data science fundamentals certificate program will demonstrate the following industry-specific skills, knowledge, and competencies:
- Analyze, design, implement, and test Python applications developed to a coding standard and/or industry best practices.
- Generate, collect, store, clean, transform, and manipulate data.
- Analyze data using multiple methods, languages, and tools to extract meaning from data and formulate problem-specific solutions.
- Organize data-driven results, and appropriately and effectively present solutions.
- Differentiate supervised and unsupervised learning methods, and use prediction and clustering algorithms and association analysis to discover patterns and associations in data.
Champlain College Online's data science faculty, led by Cybersecurity Program Chair Kathleen Hyde, MCIS, MBA, are expert practitioners in the field. Their industry expertise ensures that our curriculum is aligned with the needs of employers, and reflects the skills today’s IT professionals need for success. Classes led by our seasoned experts will give you real-world insight into the world of information technology, and create a rich community of career-focused learning.
Tuition & Costs
Continuing your education is an investment in your future. Learn more about our affordable tuition rates.
Download Online Experience Guide
Learn what you can expect from your online experience at Champlain College Online
Download Online Learning Experience Guide
Champlain College will not share or sell personal information. Submitting this form constitutes your express written consent to agree to receive e-mails, texts, and phone messages from Champlain College at the phone number(s) and email address provided in this form.