This is the first article in which we are going to cover all the statistics and probability theory we need to learn data science. In this series of articles we are going to start from here and gradually move into data analysis using statistics we learn. Then we will build, use machine learning algorithms to solve real-world data science problems. Of course, if you want to get started with data science, knowing programming is a necessity. So I welcome you to check out my python tutorials series as well.
From my previous article where we talked about introduction…
In this article let’s talk about data types and variables in python.
So this would be the second article about python for data science. In the first article, we saw how to write your first program. You can see that article from this link.
Okay before we talk about variables and data types let’s focus on one unique thing about the python language.
In the python language, when we write codes we have to be careful about Indentations. What that means is spaces at the beginning of a code line. If you are done writing one statement in…
Python is a high-level, interpreted, interactive, and object-oriented scripting language.
Okay, that’s a lot of information right there. Let’s breaks those down.
Data science is the field of study that uses mathematics, programming, and domain knowledge to extract meaningful insights from data. Data scientists would apply machine learning algorithms to data such as numbers, texts, images, videos, and more to produce artificial systems that perform tasks that require human intelligence. Using these systems, we extract insights from the data and use them to make better decisions in various situations.
We live in a world that is full of data. From traffic cameras to big corporations produces tons of data every day every minute. …