NWTC College Program Guide 2023-2024 | Page 128

Course Descriptions
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
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 : 10-103-175 , Power BI ) Course Typically Offered : Fall Spring
Data Analytics 10156114 Will provide business analysis and make focused organizational decisions by mining , aggregating , and conducting descriptive , prescriptive , and predictive analytics on big data using a variety of analytic tools . ( For students in the Data Analyst program only - Prerequisite : 10-156-112 , Data Visualization ) Course Typically Offered : Fall Spring
Data Analytics 2 10156110 In this course , students will build upon the skills learned in Data Analytics 1 . Students will learn to work with large data sets and organize that information for effective data analysis . Students utilize commercial data analysis software packages , and create custom computer programs to analyze data . Upon completion of the course , students will be able to perform analysis of relevant data with various software tools , and use the generated information to help make informed business decisions . ( Prerequisite : 10-156-114 , Data Analytics ) Course Typically Offered : Fall Spring
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