Full course description
What you'll learn:
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
What you'll do:
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 course material.
- Please be sure to actually work through the videos and exercises. You cannot learn Programming by just watching the videos. You must practice writing code yourself. In that regard, it is much like learning any other spoken language - the more you practice speaking it yourself, the more you will learn.
- The quizzes are set up to test your knowledge of key concepts in each module. It is therefore recommended you attempt the quizzes without executing the code. This will also help you hone a valuable skill in coding, of reading and interpreting code without executing it.
- The workshop concluded with a mini-project where you will build a simple user-based recommendation system. Be sure to attempt the mini-project. As your first Python application, it will make for valuable learning experience.
Who this course is designed for:
Those interested in application areas will be able to benefit.
What you'll receive:
A certificate of completion
Meet the instructor
Hina Arora - Clinical Assistant Professor and Director of Experiential Analytics
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.