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Not to intimidate you, but that is exactly what we have - a plethora of classes designed to educate, to illuminate, and to change people's lives. It may be a lot of information to wade through, but we're here to help you build your bridge to success, whatever that may look like. When you're ready to take the next step, just enter a search word in the box above and start browsing.
Advanced skills course teaching students to complete HCFA 1500, UB 92, Medicaid, Medicare, Tricare, CHAMPVA, and Worker Compensation insurance forms. Includes Introduction to Code Diagnoses using ICD 9 and ICD 10 text. Prerequisite: HITT 1041.
Concepts of confidentiality, ethics, healthcare legislation, and regulations relating to the maintenance and use of health information. This class is suitable for all health care majors.
Python Data Analysis
Course Code: ITSE-2072
Program Area: Computer Science & Information Technology
This course is meant for everyone who wants to use Python for analyzing data and/or data science, whether they are veteran Python users, experienced programmers, statisticians, or looking to take basic python skills to the next level. The course will cover topics covering the whole analysis pipeline, including reading data, visualization, data manipulation, modeling, and machine learning. Suggested prerequisite is basic Python knowledge or ITSE 2079 Introduction to Python.
Provides training in the specific techniques necessary for ensemble performance. Emphasizes both ensemble and solo playing. Repertoire varies according to emphasis. Three hours of rehearsal required per week. Integrated with credit MUEN-1132.
This course is designed specifically for adults 18+ with intellectual and developmental disabilities. Students develop entry-level and intermediate skills for the workforce. Includes professionalism, interpersonal skills, communication, workplace civility, and employability skills. Application, assessment and interview required prior to admittance. Contact Christine Price at (512) 223-7856 or via email to cprice12@austincc.edu for additional information.
Data Analytics
Course Code: ITNW-2074
Program Area: Computer Science & Information Technology
This course introduces the student to the scope and application of data analysis. It covers data manipulation, data visualization, predictive analytics, and decision analytics tools. Learn how to review data and present it in an understandable format to facilitate making business decisions. Suggested prerequisites: Analytics with Excel or equivalent knowledge. Required textbook: Data Analytics Made Accessible: 2020 edition (Kindle Edition) by Maheshwari, Anil. ASIN: B00K2I2JL8.
Continuation of GERM 1411 with more advanced conversation, basic writing, listening and reading comprehension, vocabulary building, grammar, and culture. This course fosters deeper understanding of German-speaking people through cultural comparison and development of written and spoken communication. Students must have completed a first semester college German course of at least four semester hours with a grade of C or better, or have equivalent credit by examination.
