Data Science is an umbrella-term which is a process of collecting data, cleaning data, analyzing data, building a statistical model and communicating results. Machine learning is a subset of Artificial Intelligence. It is a set of statistical techniques used for a system to learn and make predictions using data. Machine learning can be used within … Continue reading Data Science versus Machine Learning
Technology moves fast. In this video I talk about how to be productive with so many technology options. Continue reading Fast-Paced Technology in Data Science
Data-driven is the use of infrastructure, tools, and software to find patterns in data and inform business decisions. Continue reading What is Data-Driven?
This is a lighthearted analysis done in the spirit of Thanksgiving. I am using a Thanksgiving survey dataset as an opportunity to show how surveys can be used to support marketing strategy. My original post is linked below: Continue reading Thanksgiving Dinner – Marketing Survey Data Analysis
It can be challenging to make use of data if you have multiple databases across your business. Suppose you have a customer database, purchase history database, and customer rewards database. In order to answer questions that require data from each database, you will likely have to export the purchase history and customer rewards data, then merge … Continue reading Analyzing Data from Multiple Databases