AnalyticsVidhya has 2 great posts from 2015 about how to quickly build a basic predictive model in 10 minutes. One post is for R and the other for Python. As I am more focused on helping introduce people to data science, let's say building a model in 30 minutes instead of 10. The idea behind … Continue reading Building Predictive Models in 10 Minutes
If you're new to doing data analysis and Python, Curtis Miller put together two great posts from one of his collegiate lectures. They show how to leverage Python, the Pandas library and open source data to conduct an analysis. In this case he's looking at stocks and their performances. You can do a similar analysis … Continue reading An Introduction to Stock Market Data Analysis with Python (from Curtis Miller)
DataCamp has started putting out some awesome learning tutorials for R and Python.
Of course, if you have time, complete all of the courses in the Coursera Data Science Specialization. But if you are as busy as me, take only these courses. It will give you enough of a head start.
This is a book list recommended by Victor X Wong. Most of them were recommended to me or used by me at some point. I will generate my list of books one day. But here is a good start if you are looking for something other than online courses! Interviews with Data Scientists and Data … Continue reading My Book Recommendations on Data Science via Victor X Wong
Not all Coursera courses are created equally. What to expect on each of them and a list of essential ones that worth your time.
This is a wonderful write-up of how to get started using Google Analytics. It mostly applies to WordPress later on in the article, but the process is mostly the same for other sites. One of the first mistakes I made when I started this blog and my author website is not monitoring the traffic coming … Continue reading Are You Tracking?