Data Analytics- Associate Degree- Northeast Wisconsin Technical College
Course Descriptions
College 101 10890101 Students gain skills that lead to success in college and employment. This course encourages students to develop a growth mindset and make wise choices. Students should take this course in their first semester.( Pre-requisite: None.) Course Typically Offered: Summer Fall Spring
English Composition 1 10801136 Learners develop knowledge / skills in planning, organizing, writing, editing. Students will also analyze audience / purpose, use elements of research, format documents using standard guidelines, and develop critical reading skills.( Prerequisite: High school GPA greater / equal to 2.6; OR ACT Reading score greater / equal to 16 AND English greater / equal to 18; OR Next Gen Reading score greater / equal to 250 AND Writing score greater / equal to 260; OR " preparatory course( s)", contact academic advisor at 920-498-5444) Course Typically Offered: Summer Fall Spring
Quantitative Reasoning 10804135 This course is intended to develop analytic reasoning and the ability to solve quantitative problems. Topics to be covered may include: construction & interpretation of graphs; descriptive statistics; geometry & spatial visualizations; math of finance; functions and modeling; probability; and logic. Appropriate use of units and dimensions, estimates, mathematical notation, and available technology will be emphasized throughout the course.( Prerequisite: Next Gen QRAS score greater / equal to 250 AND Rdg score greater / equal to 250; OR TABE A 9 / 10 Math greater / equal to no equiv AND Rdg greater / equal to 8.8; OR TABE 11 / 12 Math greater / equal to no equiv AND Rdg greater / equal to 573; OR ACT Math score greater / equal to 21 AND ACT Reading score greater / equal to 16-contact an academic advisor 920-498-5444) Course Typically Offered: Fall Spring
MS Excel Intro 10103131 Creating worksheets; enter data, make modifications, work with formulas and functions, create and enhance charts, manage data, transform data, conditional formatting, importing / exporting data, introduction to PivotTables and PivotCharts. Course Typically Offered: Summer Fall Spring
Careers in IT 10107117 This course provides an overview of the interconnectedness among careers within Information Technology. Learn how various fields within the broader industry each play an integral role and how a personal brand fits into preparing you for your career choice.( Corequisite: 10-890-101, College 101) Course Typically Offered: Summer Fall Spring
Intro to Cybersecurity 10151100 Learners will develop an understanding of cybersecurity methods, terms, and key technical concepts to identify and protect assets against attacks. Course Typically Offered: Summer Fall Spring
MS Excel Part 2 10103132 Covers working with data tools, advanced formatting techniques, advanced functions, evaluating formulas, collaboration tools, data validation, form controls, macros, working with templates, and collaborating with multiple Excel users.( Co-req: 10-103-131, MS Excel Intro) Course Typically Offered: Summer Fall Spring
Introductory Statistics 10804189 Students taking Introductory Statistics display data with graphs, describe distributions with numbers, perform correlation and regression analyses, and design experiments. They use probability and distributions to make predictions, estimate parameters, and test hypotheses. They draw inferences about relationships including ANOVA.( Prerequisite: Next Gen QRAS greater / equal to 250 AND Rdg greater / equal to 250; OR TABE A 9 / 10 Math greater / equal to no equiv AND Rdg greater / equal to 8.8; OR TABE 11 / 12 Math greater / equal to no equiv AND Rdg greater / equal to 573; OR ACT Math greater / equal to 24 AND ACT Rdg greater / equal to 16; AND C or better in Inter Alg or higher-contact academic advisor 920-498-5444) Course Typically Offered: Summer Fall Spring
Power BI 10103175 Power BI( Business Intelligence). This course provides an introduction and exploration of business analysis tools utilized in connecting, aggregating, and visualizing data from multiple sources to quickly summarize data. You will learn how to extract, transform, and load data, build a data model using modeling features, creating proper relationships, and design considerations.( Prerequisite: 10-103-131, MS Excel Intro; 10-103-132, MS Excel Part 2) Course Typically Offered: Fall Spring
Database Development 10154125 Database uses, database terminology, analyzing information requirements, data models, database design phases, entity relationships, normalization processes, database management systems, database objects, development environments, creating tables, writing queries using SQL, testing. Course Typically Offered: Summer Fall Spring
Planning and Monitoring 10102124 Instruction in the multiple approaches used for performing business analysis, planning activities and ongoing communication, defining scopes, process improvements, assumptions, constraints, and dependencies, and the management process.( Corequisite: 10-107-117, Careers in IT) Course Typically Offered: Fall Spring
Project Mgmt Fundamentals 10196188 The role of project management, developing a project proposal, demonstration of relevant software, working with project teams, sequencing tasks, charting progress, dealing with variations, budgets and resources, implementation, and assessment. Course Typically Offered: Fall Spring
Programming in Python 10152170 Investigate the fundamentals of computer programming using the Python programming language. Students examine data types, variables, conditional statements, looping, array structures, and structured programming techniques. Upon completion of the course, students will be able to use Python to apply problem solving skills to create applications for delivery to various platforms. Course Typically Offered: Summer Fall Spring
Data Visualization 10156112 In this course, students will learn to organize, manage and analyze very large data sets from various sources. Students will use software tools to present complex data in visually meaningful representations that can be communicated to business stakeholders. Upon completion, students will learn how to transform raw data into meaningful information that will be utilized for data-driven decision making.( Corequisite needed for Data Analytics program: 10-103-175, Power BI)
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