Overview and Award Outcomes
Overview
Data Analyst compile and analyze data contained in a computer database or elsewhere to identify problems and possible solutions. They might also design and build databases to house the information they need, ensure data accuracy and make recommendations to business managers about how to improve efficiency or quality based on their findings. Students considering this award should have analytical and statistical skills, knowledge of database types and use, plus familiarity with data warehousing and data manipulation.
A Data Analyst must be proficient in data manipulation with excellent attention to detail and the ability to identify inconsistencies in data, an aptitude for learning technology quickly, the ability to take initiative and manage multiple priorities simultaneously. Job Functions could include: data entry and importing, data collection, data validation and scrubbing, data mining, reporting and documentation.
Award Outcomes
Utilize software applications to manage data.
Practice essential data analysis techniques.
Apply a variety of statistical models.
Utilize project management concepts in analysis of business problems.
Create relational databases with an efficient design.
Career Opportunities
This occupational area includes the following career titles: Data Analyst and Technical Process Analyst, to name a few. Data Analysts work within banks, insurance companies, healthcare facilities, government agencies, educational institutions, retail industries, and various service and manufacturing businesses.
Semester Sequence - Full-Time
Completion of this award may require taking courses at both campuses. For more information, please contact your faculty program advisor.
First Semester
| ITEC1000 | Information Systems | 3 |
| ITEC1302 | HTML/CSS and JavaScript | 4 |
| ITEC1505 | Fundamentals of Programming with Python | 4 |
| ITEC1600 | Contemporary Topics in Information Technology | 1 |
| | |
| COMM1260 | Small Group Communication | 3 |
Second Semester
| ITEC1080 | Microsoft Productivity Apps 1 | 3 |
| ITEC2055 | Project Management | 3 |
| ITEC2580 | Advanced Programming with Python | 4 |
| | |
| ENGL1070 | Technical Writing | 3 |
| | |
| Choose three credits from MnTC Goal Areas 3, 4, or 5 | 3 |
Third Semester
| ITEC1090 | Microsoft Productivity Apps 2 | 3 |
| ITEC2701 | SQL/NoSQL Database Design | 4 |
| ITEC2900 | Machine Learning with Python | 4 |
| | |
| General Education Electives | 3 |
Fourth Semester
| ITEC2781 | SQL Server - TransactSQL | 4 |
| ITEC2786 | SQL Server - System Administration | 4 |
| ITEC2910 | Artificial Intelligence with Python | 4 |
| | |
| General Education Electives | 3 |
MnTC Goal Area Courses
A complete list of MnTC courses and Goal Areas that can be used to meet General Education requirements can be found at https://hennepintech.edu/future-students/transfer/mn-transfer-curriculum.html. The same course cannot satisfy more than one MnTC Goal Area requirement.
Graduation (60 Credits)
Semester listings reflect the recommended sequence. Due to circumstances beyond our control, the information herein is subject to change without notice.
7/8/2025 : BP 2168 / EP 2169