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You will learn how to harness the power of Excel's data analysis tools and AutoFilter commands and how to create macros that eliminate repetitive tasks. Set yourself apart from the casual Excel user by adding VLOOKUP, INDEX, and MATCH, and other intermediate functions to your professional skill set. In addition, you will learn to create macros that let you manipulate data with the push of a button. You'll also discover how to use Goal Seek and Solver and apply them to real-world problems. Software requirements: PC: Windows 10 or later operating systems. Browser: The latest version of Google Chrome or Mozilla Firefox are preferred. Microsoft Edge is also compatible. Microsoft Excel, a subscription to Office 365, or Microsoft Office Home and Student 2019. Suggested prerequisite: Excel Introduction or basic understanding of Microsoft Excel uses and functions.
This course is designed to help students identify and understand the benefits of weight training and how weight training affects the body. They will also be able to design and develop a balanced weight training program to meet their individual needs. For questions please call Roy Ramos 512.223.6024 or roy@austincc.edu. Integrated with credit KINE-1145.
A study of two important forms of the proposal: the grant proposal and the new-business plan (also known as business prospectus). Students learn how to find grants, analyze their requirements, and then write a successful grant proposal. Students also plan a business startup, including funding and marketing research, and then write a business plan promoting the startup to potential investors. Integrated with credit ETWR-1376.
An introductory course to the fundamentals of volleyball including passing, serving, setting, and spiking. Students will learn rules and court strategy for playing the game. Emphasis on total fitness and recreational skills for leisure. For questions please call Roy Ramos 512.223.6024 or roy@austincc.edu. Integrated with credit KINE-1144.
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.
Floral Design IV: Business Principles and Sympathy
Development of personal, social, and work adjustment skills. Exploration will include open communication, assertiveness, self-disclosure, and building relationships with group members in a way that enhances trust and mutual concern. Knowledge gained in class is designed to transfer to actual working situations. Integrated with credit PSYT-1313. Qualifies for student health insurance.