Basic Python Programming for Business Analytics
100% ONLINE
SELF-PACED
NO COST
Summary
This is a fully online, hands-on, self-paced workshop that covers the fundamentals of Python as a Programming Language. Python is used in a variety of business applications, including web development, scripting, automation, data science, machine learning, and artificial intelligence. This workshop lays the foundation of Python Programming for a learner’s further study of these applications in the business world.
Python is an elegant, simple, versatile, and beginner-friendly language and routinely ranks among the top 3 most popular and in-demand programming languages. It is also an open-source language, which means it is free to use with a large and helpful online community of developers and users around the world.
Duration: 4 weeks
Location: Online
Modality: Self-paced
This Course is not for Academic Credit
What you'll learn:
Upon completion, learners will be able to join the ranks of one of the most versatile and commonly used programming languages.
Module and Content:
The workshop consists of ~10 hours of recorded content, 7 exercise sets, and 5 (multiple-choice) quizzes. Students should expect to spend 5-10 hours per week for 4 weeks to fully benefit from the material.
Learning Objectives:
In this workshop, you will accomplish the following goals:
- Explain the basics of Python language, including print statements, variable declaration, and common operators.
- Identify, demonstrate and differentiate between the different data structures that are native to Python, including strings, lists, tuples, ranges, sets, and dictionaries.
- Demonstrate how to control the flow of your code using for-loops, while-loops, and if-elif-else statements
- Recognize opportunities for code modularization and demonstrate how to use advanced Python constructs such as functions, classes, and modules.
- Perform the steps to read-in and write-out data using stdin, stdout and file IO.
Who is this certificate designed for:
Computer Systems Engineer BSE or Computer Science BS major; CSE 310 with C or better; CSE 230 or EEE 230 with C or better OR CSE graduate student OR Visiting University Student.
What you'll receive:
Upon finishing this certificate, students will receive an online certificate of completion.
Meet the instructor:
Hna Arora, PhD
Clinical Associate Professor, W.P. Carey Information Systems Arizona State University
Hina Arora is a Clinical Assistant Professor and Director of Experiential Analytics in the W. P. Carey School of Business at Arizona State University. At ASU, Hina has taught advanced data mining courses at the undergraduate and graduate levels, held multiple service roles, and consulted. Prior to joining ASU, Hina was a Group Manager at Microsoft, where she led analytics teams in the Windows Services Division and the US Central Marketing Organization. She has also held Software Development positions at IBM and Cognizant, and worked as a Research Scientist at the Center for Excellence in Document Analysis and Recognition at SUNY Buffalo. Hina has a PhD in Information Systems, a Masters’ degree in Electronics Engineering, and an Undergraduate degree in Physics.