Learn the basics of the programming language Python. Essential data types such as integers, floats, strings, lists, and dictionaries will be covered, as well as reading and writing functions. Additionally, control flow will be taught, using for-loops, while-loops, and if-statements. Students will also be introduced to basic debugging. In every session and outside of class, students will work on programming assignments as the course progresses. No prior knowledge of Python required.
Take a deeper dive into programming with Python. More advanced data types such as sets, tuples, and custom classes will be addressed. Students will also be introduced to run-time analysis and will learn about some of the applications of Python, such as writing programs to read and process CSV files and writing a web server to respond to requests. This is a project-based course and the acquired knowledge will be applicable to professional or personal uses. PREREQUISITE: Completed ?Python ? Introduction? course or demonstrated prior knowledge of Python.
This class for students with prior knowledge of Python will cover more advanced object oriented programming concepts. Students will learn how to set up their environment for programming projects using virtual environments and pip to install external libraries. The course will also cover exception handling as well as custom classes. In addition, students will be introduced to widely used Python libraries such as Collections library of advanced data types and NumPy library for advanced numerical analysis. PREREQUISITES: Fundamentals of Programming AND Python ? Introduction AND Python ? Intermediate courses OR demonstrated prior knowledge of Python.
Visualization of data is a key requirement for business decision makers. Tableau is one of the most popular software packages to achieve rich visualization to understand data patterns and create an engaging story. This hands-on course designed for the beginner Tableau user will guide you through the foundations of the software and you will begin to generate simple visualizations and interactive worksheets and dashboards.
This course teaches basic capabilities of Google Analytics in order to understand how users find and use a website. We will cover how to navigate the application, utilize various functions, and identify core metrics that are relevant across various industries. In addition, we will explore basic reporting and dashboards. By the end of the course, participants should be able to comfortably access this data platform, identify how to pull relevant metrics to make more data-based decisions, and have a better understanding of their website?s user demographics and behavior.
Math Review course will help you refresh or learn the basic concepts in arithmetic, algebra, and geometry. The content is largely adapted to your current level of knowledge with focus on fractions, decimals, probabilities, equations, ratios, radicals, geometric principles, and word problem solving.
This intermediate level math course prepares students for using the math skills necessary for success in a variety of business contexts and business school coursework. General math concepts like the order of operations, fractions, percentages, and ratios are reviewed and reinforced in the context of typical business applications like fixed and variable costs, profit, interest rates, future and present value, and business and financial decision making. Prerequisite: Math Review (MTH9201) or an equivalent.
This higher-level math course will include quantitative analysis and data mining, and advanced statistics and probability. Students will complete a final project by reviewing a case study and analyzing data to develop a financial map analysis. Prerequisite: Math for Business (MTH9203) or equivalent.
In this course, students will learn the fundamental principles of statistics and probability. Topics include types of data, methods of data collection (such as sampling), random variables, and various types of data distribution. Students will also review tables, charts, and become familiar with data functions in Excel. This course will conclude with a final project in which students apply the principles they?ve learned through a case study evaluation.