Course description

Data-driven decision making and the use of analytical approaches are critical skills for success in business. Analytics skills are increasing in demand and in many cases, are required for business professionals. The new technologies and development such as personal electrical devices, social media, online shopping, ? resulted in exponential growth in the amount of data we generate and collect on a daily basis. Companies are highly interested in extracting knowledge from these sources. To be able to manipulate and analyze a large structured and unstructured dataset, you need to learn how to code. In this course, by learning Python, one of the most popular programming languages, you are taking a significant step in data analysis. You will learn how to design and code an algorithm and manipulate datasets.

Outcome 1: Develop algorithmic thinking.

Outcome 2: Utilize and understand Basic Data Structures.

Outcome 3: Utilize and understand Conditional Branching and Looping.

Outcome 4: Build Functions in Python.

Outcome 5: Develop skills in building models to solve real-world business problems.

Outcome 6: Effectively use various Python libraries for data analysis.

Outcome 7: Produce a Python solution for a business application.

Forbidden Overlap: due to an overlap in content, students will not receive credit for both AEM 2840, AEM 2841, AEM 5840, CS 1133, and HADM 3710.

Prerequisites

Students are expected to have intermediate computing skills using Microsoft Office and a Windows platform and intermediate Excel skills.

Winter 2025: Online course

Reza Moghimi
Reza Moghimi
Lecturer