Business Analytics Applications | 4 Credits

Apply data analytics tools to marketing applications.

Competencies:

1. Apply SQL to extract relevant business data from databases;
2. Utilize state-of-the-art tools for visualizing and analyzing marketing and sales data (example applications include analysis of Amazon sentiment reviews, text sentiment analysis, customer segmentation using wholesale data, forecasting product sales, customer value, market segmentation applications)
3. Communicate results of analysis to stakeholders.

Prerequisites

• BABA 301X Visualization Tools for Data Analytics
• BABA 303X AI & Machine Learning Business Applications using R

Apply data analytics tools for human resource management and strategic/operational management.

Competencies:

1. Apply SQL to extract relevant business data from databases
2. Utilize state-of-the-art tools for visualizing and analyzing HR and management data (example applications include employee attrition data analysis, employee feedback data analysis, and benchmarking employee performance using k-nearest neighbor models)
3. Communicate results of analysis to stakeholders.

Prerequisites

• BABA 303X AI & Machine Learning Business Applications using R
• BABA 301X Visualization Tools for Data Analytics

Apply data analytics tools for analyzing operations and supply chains.

Competencies:

1. Apply SQL to extract relevant business data from databases;
2. Utilize state-of-the-art tools for visualizing and analyzing operations and supply chain data (example data analytics applications include demand forecasting; time-series forecasting, clustering analysis and KNN applications in operations and supply chains)
3. Communicate results of analysis to stakeholders.

Prerequisites

• BABA 301X Visualization Tools for Data Analytics
• BABA 303X AI & Machine Learning Business Applications using R

Apply data analytics tools for finance and accounting applications.

Competencies:

1. Apply SQL to extract relevant business data from databases;
2. Utilize state-of-the-art tools for finance and accounting applications (example data analytics applications include credit card fraud detection; financial risk analysis; personalized services using NLP; algorithmic trading)
3. Communicate results of analysis to stakeholders.

Prerequisites

• BABA 303X AI & Machine Learning Business Applications using R
• BABA 300X Introduction to Business Analytics Applications