Data Classification, Clustering, and Regression is part 5 of this series on Data Analysis. The focus of this article is to use existing data to predict the values of new data. 

If you missed the other posts in this series, read them here: 

• • Part 1: An Introduction to Data Analytics  
  • Part 2: What is Data
  • Part 3: Basic Data Visualization Techniques
  • Part 4: Clean Raw Data

This is part 4 of this series on Data Analysis. The focus of this article is how to take raw data and make it more suitable for analysis.

If you missed the other posts in this series, read them here: 

• An Introduction to Data Analytics  
• What is Data
• Basic Data Visualization Techniques

This is part 2 of this series on Data Analysis. The focus of this article is all the different types of data and how each one can be analyzed.

If you have not yet read Part 1, you can do so here.

Every day, words like “Artificial Intelligence”, “Big Data”, “Data Analytics”, and “Machine Learning” are thrown around constantly these days, but what do they actually mean? Perhaps more importantly, why should you care?

In 2017, data replaced oil as the most valuable resource on Earth. The more data a company collects, the more it can control.

For that reason information has officially become the new “gold” in our modern technological economy.