Data Technology

The Data Technology program prepares students for roles in technology, finance, healthcare, ecommerce, manufacturing and more. The competency-based curriculum provides training through real-world simulations, personalized mentoring, and practical coursework. Students develop skills in initiating data projects, sourcing information, transforming datasets, analyzing data, and presenting results which form an essential toolkit for the field of data analytics.

Objectives

• Explain data types, data structures, and data sources.
• Diagram the complete data analytics project cycle.
• Identify and articulate data-driven problems and questions.
• Utilize various tools including spreadsheets, SQL, Python, and R for data gathering, data cleaning, and analysis.
• Calculate descriptive statistics, perform exploratory data analysis, and inferential statistics for insights.
• Communicate insights derived from data analysis efficiently and persuasively through visualizations, presentations, and reports.
• Construct SQL queries, querying, filtering, and manipulating data within relational databases.
• Apply machine learning principles for preprocessing, model construction, and evaluation.
• Incorporate industry-standard tools and practices for impactful visualizations and extracting meaningful insights.
• Initiate comprehensive projects applying acquired skills to solve real-world problems, while effectively managing time and objectives.

Syllabi

Providing course syllabi ensures openness and transparency in course expectations, fostering a clear and accessible learning environment for all students. To see the course syllabi for the Data Analytics Department, click the link below.

Syllabi for Data Analytics Department Courses (opens in a new tab)

Program Courses

1. 1

   About Your Program

   This program starts four times a year: July, October, January, and April. Enrollment is first come, first served. Please contact a Student Success Advisor with any questions you may have about a program. You can check the start dates here.

   Make an appointment with a Student Success Advisor

   Not ready to schedule? You can text questions to (435) 261-9877.

2. 2

   Admissions

   Complete the Certificate-Seeking Application. College admission policy requires a student to have a high school diploma or its recognized equivalent.

   Fill out the Certificate-Seeking Application (opens in a new tab)
3. 3

   Programmatic Requirements

   Students will receive additional pre-enrollment programmatic requirements, if applicable, via email. If you have not received this email within 24 business hours, please check your spam or junk mail folders.

   Complete Introduction to Data Analytics (DATA0995) with a B- or better. This course familiarizes students with the overall process of data analytics, essential skills, and careers. Students also experience stages of a data project by using Excel to clean, analyze, and describe real-world datasets and get a brief introduction to Python.

   OR

   Related associate's degree or higher (from a nationally or regionally accredited institution as approved by the Department Head) or related industry experience (as approved by the Department Head).

   Prerequisites Documentation Form (opens in a new tab)

   Sign up for Introduction to Data Analytics (DATA0995)
4. 4

   Enrollment and Registration

   Once the programmatic requirements have been completed, the next step is to meet with a Student Services Representative to complete your enrollment. You will declare your starting date, enrolled hours, and set up your payment schedule.

   The first month’s payment or completed Financial Aid is required at the time of enrollment. No appointment is necessary.

   Questions? Call (435) 753-6780, email studentservices@btech.edu, or visit Student Services at the Logan Campus.