What Are Algorithms in Data Analytics – Data Science Jargon for Beginners

Please Share A Post or Page!...Share on FacebookShare on Google+Digg thisShare on RedditShare on StumbleUponShare on TumblrShare on LinkedInTweet about this on TwitterPin on Pinterest

Updated November 23, 2017

There is a lot of technical jargon floating around the data science industry and over the past week I have been defining some of these key terms to help you make better sense as you develop your interest and understanding of the industry.

What are Algorithms. When you are researching Data Analytics, Business Analytics, or Data Science you will hear a lot about Algorithms.

Algorithms: A set of rules for solving a problem in a finite number of steps in order to find the greatest common divisor.

Algorithms are the way in which a data analyst takes millions and millions of little bits of data, processes them through data analytics tools like Hadoop, Tableau, or Apache Spark and come out on the other side with a common divisor.

Common Divisor: In the data industry this is what analysts are search for. What is trending, who is buying what, where are they going, etc… For example: The common divisor is what companies want to know so that they know where to market their products for the great return on investment.


Confused about Data Analyst Vs. Data Scientist?

Check out the Article that defines the differences and clarify what is best for you!

Leave a Reply