Lifelong Learning

As a citizen of science and technology I have made a lifelong commitment to learning and developing my craft as future technologies evolve. I enjoy the current free (or affordable) education via the internet.


Current MOOCs (Massively Open Online Courses) that I’m enrolled in:

Provider Course Name Topics/Objectives Outcomes  Projects
 Coursera & Johns Hopkins U  Data Science Specialization
  • The Data Scientist’s Toolbox
  • R Programming
  • Getting and Cleaning Data
  • Exploratory Data Analysis
  • Reproducible Research
  • Gaining the fundamentals and practicum experience in  providing insight into big data issues (9 Courses in total to receive a Specialization Certificate + Capstone Project)
  1. The Data Scientist’s Toolbox
  2. R Programming
  3. Getting and Cleaning Data
  4. Exploratory Data Analysis

Previous MOOCs (Massively Open Online Courses) that I took:

Provider Course Name Topics/Objectives Outcomes Projects
 Udacity  Intro to the Design of Everyday Things by Don Norman
  • Affordances and Signifiers
  • Conceptual Models and the System Image
  • Gulfs of Evaluation and Execution
  •  A clear understanding of the principles and background that go into User Experience Design and Research
 User Interface for a Mock Timebank,certificate
edX MITx 6.02x: Computational Thinking & Data Science
  • Plotting
  • Simulations & Random Walks
  • Probability
  • Stochastic Programming & Hashing
  • Curve Fitting
  • Graphs and optimization
  • Machine Learning
  • Developed some insight into the process of moving from an ambiguous problem statement to a computational formulation of a method for solving the problem,
  • Learned a useful set of algorithmic and problem reduction techniques,
  • Learned how to use simulations to shed light on problems that don’t easily succumb to closed form solutions,
  • Learned how to use computational tools, including simple statistical, machine learning, and plotting tools, to model and understand data.
  • 1/7 courses necessary for the XSeries Certificate from MITx in Computer Science
Virus Simulation in Python
 Udacity  Intro to Computer Science
  •  Variables
  •  At the end of this course, you will have learned key concepts in computer science and enough programming to be able to write Python programs to solve problems on your own.
  • This course will prepare you to move on to intermediate-level computing courses.
Search Engine

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