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Business Data Analyst

Information Technology 

The Business Data Analyst education plan focuses on developing leadership and data analysis capabilities in students at all levels in organizations. The Business Data Analyst will design, develop, implement, and maintain business solutions for information delivery. In addition to very strong technical skills, the student will have superb business process analysis and interpersonal skills, the ability to extract and analyze data patterns, and the ability to synthesize the data into information consumable by senior business decision makers.

The Data Analyst graduate will receive the knowledge and skills necessary for employment and growth in entry-level business intelligence and data analyst professions. They will assist in the process of inspecting, cleansing, testing, and transforming data. Graduates will help interpret and visualize the data using various software tools and techniques to provide support in all decision making phases. Graduates will gain a solid understanding of information technology and applications used to support decision making. The Data Analyst graduate will have the opportunity to interact and work with various functional managers in all parts of the company.

Course Prerequisites

Some courses may require appropriate test score or completion of basic math, basic English and/or reading courses with a “C” or better.

BDAT 1005, ITEC 1003, ITEC 1016, ITEC 2100, and TLIT 1005 are first semester courses and prerequisite to other courses in this major.

Program Learning Outcomes

By completing this program, students will achieve the following learning outcomes.

  1. Graduates will have knowledge and understanding of data analysis tools used in organizations.
  2. Graduates will have ability to prepare data and visualizations to help management in making decisions.
  3. Graduates will have knowledge and understanding or relational database, data retrieval, data quality and data preparation methods.
  4. Graduates will work various departments within an organization to validate, review and correct data discrepancies.
  5. Graduates will use computer software programs and applications for inputting, verifying, organizing, storing, retrieving, transforming (changing, updating, and deleting), and extracting information.
  6. Graduates will develop data visualizations and ad-hoc reports through collaboration with leadership to identify and define metrics that drive performance.

Program Sequence

Fall Semester
Course Number
Course Title
 BDAT 1005
 Data Analysis Fundamentals 2
 ITEC 1003
 Networking Fundamentals
 ITEC 1016
 Web Programming Technologies
 ITEC 2100
 Programming Logic & Design
 TLIT 1005
 Technology Fundamentals
Spring Semester
 BDAT 1000
 Business Concepts
 ITEC 2120  DB Design & SQL 4
 ITEC 2317
 Web Interactivity Tools 4
 MATH 1550
 Introduction to Statistics
 TOTAL   14
 Summer Semester
Fall Semester
 BDAT 1025
 Data Preparation for Analytics
 BDAT 1030
 Data Analysis
 ITEC 1025
 Project Management
 PHIL 1200
 Technology, Society, and Ethics 3
 TOTAL   14
 Spring Semester
 BDAT 1010  Integrated Business Software
 BDAT 2140
 Business Intelligence
 BDAT 2145
 Special Topics in Analytics 3
 ENGL 2105
 Business and Technical Writing

Graduation Requirements

All Anoka Technical College students seeking an Associate in Applied Science (AAS), diploma, or certificate must meet the cumulative grade point average (GPA) of 2.0 or higher.

Transfer Opportunities

To see how this may transfer into other Anoka Technical College program or into another college. Please visit:

Industry Description

  • Businesses are investing big-time in data analysis. Spending on big data and analytics will increase from $10 billion in 2012 to more than $32 billion in 2017, according to International Data Corporation. In context, that’s about six times the growth rate of the overall information and communication technology market. Source: Minnesota Business Magazine.
  • Data Scientist 80-20 rule- 80% of the time is data mining, and setting up the data to be analyzed, and 20% of the time is doing the analytical forecasting.
  • Creates an entry to the workforce; Middle Skill Big Data Workers (MSBDW)
  • Closet occupational field is Data Analyst, which is expected to grow 20-28 percent. As markets become more competitive, firms will need to use resources more efficiently. (U.S. Department of Labor, 2012)

Job Titles:

  • Data Analyst       
  • Business Data Analyst
  • Information Specialist 
  • Business Intelligence Analyst
  • Operations Data Analyst 
  • Marketing Research Analyst
  • Information Clerk



Vicki Baumgartner

Julie Myers

Enrollment Services


Fall: August
Spring: January
(Also multiple start options each semester)


AAS Degree


Vicki Baumgartner

Julie Myers
“Our students get great jobs! The IT program was designed by the very industry that hires our students, and our outstanding advisory committee is committed to keeping our program relevant and cutting edge. ”