Logistic Regression is a machine learning model used for classification. When a prediction of a dependent variable consists of 2 values...

Operational research is a field of study in which scientists analyze patterns to make predictions for the future. This enables decision...

Recently I had the opportunity to converse with Keith Finnerty from Deutsche Bank. He is an Irish data scientist and he is really...

Supervised machine learning is probably a term you have never heard before. However, it isn’t as complex as it sounds. In supervised...

A few days ago, I had a zoom chat with a real data scientist. His name was Bismayan Chakrabarti, and he works at Credit Suisse. I had a...

An important detail to a lot of the analyses we’ve looked at so far is that we can only see correlations and can’t get at the cause of...

Recently I had a Zoom call with Professor Boxiang Dong from Montclair University. His specializations are machine learning and...

The next type of data science analysis method is inferential analysis. The purpose of inferential analysis is to use a small sample of...

The goal of exploratory analysis is to examine or explore the data and find relationships that weren’t previously known. Exploratory...

There are many different types of data science analysis methods. Let’s start off with descriptive analysis, which is just what it sounds...

Data Science is very important for many everyday jobs and activities in our world, including advertising. Lots of businesses use data...

The final part of the Data Analysis spectrum is Data Visualization. Data Visualization is essentially how the data is displayed. It is...

Although it may seem easy to represent data in a quick graph or chart, sometimes it needs more than that to actually be useful. These are...

Data Analysis, or Data Mining, is one of the most important parts of the Data Science spectrum. This is basically when companies find...

Data analysis is a very large section since there is so much information to digest. However, there are 4 steps to make it easier. Finding...

The next step of Data Science is Data Wrangling. Data Wrangling is basically the process of cleaning and filtering data. When data is...

Data wrangling can be a long and difficult process, but these are 6 steps to follow. Discovering: In this step, you have to understand...

So that we now know the basics about Data Collecting, let’s go into more depth. One of the best ways to collect data is the DMP- the data...

Data collection can be a long and difficult process, but these are 4 steps to follow. Determine what information needs to be collected....

Data Science and today’s hot topic, Coronavirus, may seem completely different from each other, but they are actually very correlated....