Glossary of Terms




Android is an operating system that runs the mobile products of phone brands such as Samsung, Huawei, Google Pixel, Xiaomi, and more.

Angular (Language)


Big Data

Big data refers is when data is either too big or occuring too quickly to be processed by tradtional methods. The big challenge facing corporations lies not in the gathering of data, but rather how to interpret and utilize the data. Common examples of Big Data utilization include spotting business trends, disease rates, and tracking crime statistics.

Business Processes

It’s one thing to have the next billion dollar idea, it’s another to plan how to get there. Business processes are the internal processes that allow your business to function. It’s your marketing campaigns, your targeted ads, your customer analysis, your financial statements, your human resources, etc. It’s everything you need in order to have an organized, efficient, and understandable flow and procedure within your company.

The Cloud

The Cloud, is someone else's computer. You are renting virtual hardware space on someone elses hardware. Amazon, Google, Digital Ocean, or other cloud service providers. Proper utilization of cloud resources can give a lot of power for a fraction of the price of on premises servers.

Computerized Statistics

Statistics is the art of using past information to create insights and predictions about the future. Modern databases allow us to accumulate millions of rows of data easily, allowing us to make insights and predictions that were not possible before.


A database is an electronic library. Instead of holding books, a database holds rows of information. There are many kinds of databases, with many different languages used to interpret and manage them.

Data Learning

Data Learning describes the many ways we can use statistics to better understand our business. This ranges from machine learning techniques, to a wide variety of regression models, to simple summary statistics such as the student-t.

Data Modeling

Data models store gathered data within a database. Oftentimes these models will create a visual representation on the data gathered (such as a regression analysis, or a machine learning model) to provide more understanding.

Data Pipeline

A data pipeline is a series of steps in which your data goes from somewhere to somewhere else. It determines when your data is processed, and how it is processed. For example, you received payment from your e-commerce store. The $100 payment that you received will be automatically processed into your financial statements. Then, an email notifies you that you have received a payment. Finally, the money ends up in a PayPal account.

Data Science

Data science is the study and application of data. It analyzes what data is, and how to apply it. Data Science has become much more popular recently, with the advent of technologies that allow for Big Data.


IOS is the operating system that runs Apple’s mobile products like the iPhone and the iPad.

Native Application

An application made specifically for a device and its corresponding operating system.


Python is the most popular programming language available. The main reason for this is that it combines a very short and simplistic syntax with a large amount of flexibility of function. The end product, from the developer’s point of view is cleaner, more organized, and less complicated as compared to other programming languages. Python was designed with simplicity, and ease of use in mind.

React (Language)

An open source, flexible JavaScript library used mainly for building single page applications. Commonly used for the view layer of both web and mobile apps.

Web Application

An application designed specifically to be run on a web server, not stored locally on your device. Although this might seem obvious, these apps require an internet connection to connect to the host server. Common web apps include a famous auction website, online banking and email.