Overview of lecture topics and durations, and course grade breakdown.
I’m a computer science student pursuing an analytics career. Learn more about me here.
I began studying analytics in late 2017. Since then, I've become convinced of two things:
- The rate at which society generates data is increasing, as is demand for people with analytics skills.
- This work is complex and multifaceted. New techniques, tools, and methodologies are developed every day.
If you'd like to connect, there are several ways of reaching out to me near my avatar photo (top left).
Notes on DVA week 2 lectures, topics for which included data collection, SQLite, data cleaning (OpenRefine and Wrangler). The class project and version contr...
Notes on DVA week 1 lectures, which included a course introduction, and discussions of analytics building blocks and data science buzzwords.
Notes on key concepts from chapter 1 of “Data Science for Business,” an excellent book that is recommended reading for my Data and Visual Analytics course.
Analysis of a Visa status application dataset to explore various occupations compensation data. Explores Tableau’s basic functionality and comments on a few ...