"BUSA 210A Business Analytics II Eremionkhale Fall 2024" by Amy Eremionkhale
 

Document Type

Syllabus

Publication Date

Fall 2024

Student Outcomes

Students will be able to: 1) Use Python (NumPy, pandas) to efficiently clean, preprocess, and manipulate large datasets. 2) Perform comprehensive Exploratory Data Analysis (EDA) to gain insights from data, identify patterns, and detect outliers. 3) Create meaningful data visualizations using tools like Matplotlib to communicate findings effectively. 4) Process and analyze raw real-world data into actionable insights, extracting meaningful information for decision-making. 5) Engage in critical thinking and ethical discussions surrounding data privacy, bias, and transparency. 6) Effectively work in teams to tackle complex business analytics projects, integrating various programming languages and analytical techniques.

Download

Share

COinS