Data Analytics / Science Portfolio
Villanova's Master of Analytics
Study the whole analytics continuum and build a broad toolkit of analytics skills within the context of various business functions. Extract, analyze, interpret, and make confident business decisions from data while expanding knowledge in all areas of analytics including data management, business intelligence, and predictive and prescriptive models.
Courses:
● Introduction to Business Analytics Programming in R ● Data Models and Structured Analysis
● Multivariate Data Analysis ● Enterprise Data Management ● Business Intelligence
● Analytical Methods for Data Mining ● Analytical Methods for Text and Web Mining
● Analytical Methods for Optimization and Simulation ● Machine Learning & Artificial Intelligence
● Advanced Business Applications ● Analytics Practicum
Graduated - 2020 (3.9 GPA)
Certifications
Wanting to continue to advance my knowledge of data science related tools, I am using Dataquest.IO to supplement / continue my education around R, Python and SQL.
Certifications Received:
- Introduction to R
- Data Structures in R
- Control Flow, Iteration & Functions in R
- Specialized Data Processing in R: Strings & Dates
Data Cleaning in R
SQL Fundamentals
Compensation With R
An ongoing series about how the R programming language can be useful in the compensation function.
Compensation With R - Introduction
Compensation With R - Basic Visualizations
Compensation With R - Market Data (Initial Analysis)
Compensation With R - Structure Design
Compensation With R - Percentiles