Steven J. Hillman

Bachelor of Technology: Network Administration

Morrisville State College, Morrisville, NY

Graduated: 2010

Course Highlights:

• CITA-480: Internship
• Interned with ACC Technical Services in Syracuse, NY; Sep thru Dec 2009
• CITA-460: Organizational and End User Information Systems
• CITA-430: Computer Integration and Interoperability
• CITA-405: Project Management
• BSAD-350: Principles of Corporate Finance
• BSAD-300: Management Communications
• ENGL-312: Advanced Technical Communication
• SOCS-311: Industrial/Organizational Psychology

Online Courses

Data Science, Data Analytics, and Business Intelligence

• Codio Python3.1: Python Programming: Object-Oriented Design by Codio, completed 2024
  Topics: Python, classes, inheritance, mutability, encapsulation, polymorphism, program architecture, methods
• Codio Python2.1: Python Programming: Intermediate Concepts by Codio, completed 2024
  Topics: Python, strings, files, functions, recursion
• Codio Python1.1: Python Programming: Basic Skills by Codio, completed 2024
  Topics: Python, operators, variables, loops, conditionals, lists
• HarvardX PH125.8x: Data Science: Machine Learning by Rafael Irizarry, completed 2024
  Topics: R, machine learning, smoothing, linear regression, prediction, cross-validation, KNN, Caret, model fitting, recommendation systems
• HarvardX PH125.7x: Data Science: Linear Regression by Rafael Irizarry, completed 2023
  Topics: R, linear regression, linear models, squares estimates, confounding, stratification, variance
• HarvardX PH125.6x: Data Science: Data Wrangling by Rafael Irizarry, completed 2023
  Topics: R, importing data, web scraping, tidying datam tidyverse, wrangling, dplyr, working with dates and times, text mining
• HarvardX PH125.5x: Data Science: Productivity Tools by Rafael Irizarry, completed 2023
  Topics: R, RStudio, R Markdown, Reporting/Markdown, UNIX/Linux, Git, GitHub
• HarvardX PH125.4x: Data Science: Inference and Modeling by Rafael Irizarry, completed 2023
  Topics: R, Bayesian Modeling, Confidence Intervals, Forecasting
• HarvardX PH125.3x: Data Science: Probability by Rafael Irizarry, completed 2023
  Topics: R, Discrete and Continuous Probability, Statistical Hypothesis Testing, Monte Carlo simulations, Central Limit Theory, Random Variables
• HarvardX PH125.2x: Data Science: Visualization by Rafael Irizarry, completed 2023
  Topics: R, data visualization, distributions, dplyr, ggplot2
• HarvardX PH125.1x: Data Science: R Basics by Rafael Irizarry, completed 2023
  Topics: R, RStudio
• Learning Data Analytics Part 2: Extending and Applying Core Knowledge by Robin Hunt, completed 2022
  Topics: Business rules, building data with queries, data visuals, pivots, Power BI, Power query, communicating data findings
• Learning Data Analytics: 1 Foundations by Robin Hunt, completed 2022
  Topics: Data analysis fundamentals, data projects, data cleaning, data modeling, SQL basics, Excel techniques
• Microsoft Power BI Desktop for Business Intelligence by Maven Analytics and Chris Dutton, completed 2022
  Topics: Power BI, data cleaning, data manipulation, data models, data visualizations
• The Business Intelligence Analyst Course 2022 by 365 Careers, completed 2022
  Topics: Statistics, SQL, Tableau, Python, data extraction, data visualization, APIs

Writing, Graphics, and Documentation

• Tech Writers Master Class by Janet Underwood, completed 2022
  Topics: Audience analysis, information collection, style guides, writing for clarity, persuasive writing, graphics and figures, document design
• Learn API Technical Writing: JSON and XML for Writers by Peter Gruenbaum, completed 2022
  Topics: API documentation organization and formatting, JSON and XML structure
• Inkscape for Scientists and Engineers by Dr. Aidan Wimshurst, completed 2022
  Topics: Creating diagrams and figures in Inkscape