Printed : 10 / 24 / 2022 10:12:21 AM Academic year : 2023-2024
Data Analytics - Associate Degree
Program Code : 101563
As businesses are collecting more data there is an increased need to interpret , analyze , and present that data to the key stakeholders who make the business decisions . The Data Analyst program prepares learners to use techniques to combine , clarify and interpret patterns and trends , and provide visualizations of the data using best practices and relevant technologies .
Delivery
Day Evening Full-time Online : Some online courses may be delivered at specific times each week . Part-time
Explore Locations
This program is offered at :
Green Bay
Program Costs & Financial Aid
Tuition : $ 9,572 , Books : $ 1,416 , Supplies : $ 0 Total Approximate Costs $ 10,988
This program is eligible for financial aid . ( https :// www . nwtc . edu / admissions-and-aid / paying-for-college )
Estimates based on in-state residency . Learn more about tuition and fees . ( https :// www . nwtc . edu / admissions-and-aid / paying-for-college / tuition-and-fees )
Requirements for Program Entry
Apply at www . nwtc . edu / apply Submit high school , GED , or HSED transcripts and college transcripts ( if applicable ) to transcripts @ nwtc . edu
Tip ! Our admission advisors will assist you through every step . Have questions ? Connect with NWTC Admissions at start @ nwtc . edu or 920-498-5444 .
Program Outcomes
Develop functional knowledge in the rapidly growing field of data analytics . Build and apply critical thinking skills when integrating datasets from multiple sources . Develop techniques for communicating data through visualization and storytelling . Use relevant technologies to gather , analyze and interpret patterns and trends in data .
Curriculum
Students following the study plan below will complete the Data Analytics Associate Degree in the number of semesters shown .
First Semester |
8 Week 1 |
10890101 - College 101 |
1 |
10801136 - English Composition 1 |
3 |
10804135 - Quantitative Reasoning |
3 |
10103131 - MS Excel Intro |
1 |
8 Week 2 |
10107107 - Intro to IT |
1 |
10151100 - Intro to Cybersecurity |
1 |
10103132 - MS Excel Part 2 |
1 |
10804189 - Introductory Statistics |
3 |
Semester Total 14
Second Semester 8 Week 1 10105101 - Career Planning 1 10154125 - Database Development 3 10102124 - Planning and Monitoring 3
8 Week 2 |
10196188 - Project Mgmt Fundamentals |
3 |
10152170 - Programming in Python |
3 |
10156112 - Data Visualization |
2 |
10103175 - Power BI |
1 |
Semester Total 16
Third Semester 8 Week 1 10105103 - Career Preparation 1
10152184 - SQL Programming 3 10152160 - Programming in R 3
8 Week 2 |
10156114 - Data Analytics |
2 |
10809198 - Intro to Psychology |
3 |
10196189 - Team Building / Prob Solve |
3 |
Semester Total 15
Fourth Semester |
8 Week 1 |
10182111 - Lean Operations |
1 |
10182112 - Lean Manufacturing |
1 |
10156110 - Data Analytics 2 |
3 |
Elective |
2 |
8 Week 2 |
10182114 - Lean Six Sigma |
1 |
10801196 - Oral / Interpersonal Comm |
3 |
10809172 - Intro to Diversity Studies |
3 |
Full Semester 10156199 - Data Analytics Career Exp 2
Semester Total 16
Total Credits 61
Curriculum Note : Students must take 2 credits of elective courses : 10-116-116 HR Organizational Metrics ( 2 credits ) 10-620-147 Intro to Predictive Maintenance ( 1 credit ) 10- 530-163 HC Stats and Analytics ( 3 credits ) 10-104-174 Marketing Analytics ( 3 credits )
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