NWTC College Program Guide 2022-2023 | Page 108

Printed : 12 / 14 / 2021 Academic Year 2022-2023
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 .
This program is offered at : Green Bay �
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 .
Develop functional knowledge in the rapidly growing �eld of data analytics . Build and apply critical thinking skills when integrating datasets from multiple sources .
Data Analytics is in the top 10 in-demand jobs according to Microsoft who utilized the job postings data from LinkedIn . As more businesses are connecting their machines with their ERPs the businesses need to make more intentional decisions . As part of Industry 4.0 manufacturing , marketing , and �nancial areas , businesses are looking for people who can gather , analyze and interpret patterns and trends , and provide visualizations of the data to the right person who can make informed decisions . Businesses are looking at machine monitoring , safety wearables , providing proactive customer service , and staying �scally viable . All of this comes with big data that needs to be analyzed to guide business decisions . UWGB is looking to offer a Data Analytics bachelor ’ s degree in the future .
Curriculum : Students following the study plan below will complete the Data Analytics Associate Degree in the number of semesters shown .
First Semester
10-890-101 College 101 10-801-136 English Composition 1 10-804-135 Quantitative Reasoning 10-107-107 Intro to IT 10-152-140 IT : Program : Logic-Intro 10-103-131 Micro : Excel-Intro 10-103-132 Micro : Excel-Part 2 10-804-189 Introductory Statistics Semester Total
Second Semester
10-105-101 Career Planning 10-154-125 IT : Web : Database Development 10-102-124 Planning and Monitoring 10-196-188 Project Mgmt Fundamentals 10-152-170 Programming in Python 10-156-112 Data Visualization 10-103-175 Power BI Semester Total
Third Semester
10-105-103 Career Preparation 10-152-184 IT : Web : Programming-SQL 10-152-160 Programming in R 10-156-114 Data Analytics 10-809-198 Intro to Psychology 10-196-189 Team Building / Prob Solve Semester Total
Fourth Semester
10-156-199 Data Analytics Career Exp 10-182-111 Lean Operations 10-182-112 Lean Manufacturing 10-182-114 Lean Six Sigma 10-156-110 Data Analytics 2 10-801-196 Oral / Interpersonal Comm 10-809-172 Intro to Diversity Studies 10-999-997 Elective Semester Total
1 3 3 1 1 1 1 3 14
1 3 3 3 3 2 1 16
1 3 3 2 3 3 15
2 1 1 1 3 3 3 2 16
Develop techniques for communicating data through visualization and storytelling . Total Credits
61
Use relevant technologies to gather , analyze and interpret patterns and trends in data .
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 )
100