Why Statistics and Python to Become Data Scientist?

Why Statistics and Python to Become Data Scientist?

If you are into statistics and python, then you can take the right course to become a data scientist. The data includes many machines, such as automobiles, robots, and smartphones, just to name a few. The amount of data produced by these units requires the use of expert tools and procedures for decision making and analysis.

Let's find out why it is important to learn statistics and python to be a data scientist.

In schools, colleges, and universities, Python is gaining a lot of popularity as an important programming language. The reason is that this language is agile with lots of libraries and other supporting materials like game development and network automation. 

Also, read Why Google uses Python reasons why you should use Python

The good thing is that Python eco-systems have too many libraries to allow data analysis. Therefore, it is part of data science courses.

The lifecycle of Data Science: 

First, there is a life cycle in data science, which is used to analyze all over the world. The purpose of the life cycle is to develop hypotheses and then test them.

Python helps to run fundamental statistical analysis on a given set of data. And these analyzes can include hypothesis testing, probability distributions, and measurements of central tendency.

Also, read Why Google uses Python reasons why you should use Python

Python helps to get more information about input/output variables and operations through a separate sampling program. In addition, the program shows how you can name different variables and data types. The good thing about this language is that there is no case statement in it.

Although it has not been used in data science, object-based design and analysis have also been presented. The purpose of this design and analysis is to organize the programs around the given modules.

Also, read Why Google uses Python reasons why you should use Python

As far as libraries are concerned, the course may include TensorFlow, Keras, scikit-learn, Scipy and Numpy, to name a few. These libraries form the basis of data science with the help of Python.

If you need to get more information, you can check out Data Science Central, which is a great platform. On this site, you can choose from many e-books to learn more about the topic. 

They also have a forum section to help you participate in the discussions. This can further increase your knowledge. In addition, a lot of YouTube channels are devoted to a single purpose. You can examine them.

The good thing is that many libraries have online sandboxes. They allow you to try out the library facilities. You can follow the tutorial to get started with coding. You only have to examine various Python modules to get more information. With the passage of time, you will be able to learn more.

Also, read Top 10 Applications that can be developed using Python

So, this is why Python holds so much importance in the field of data science. If you want to become a data scientist, we suggest that you take the right course to improve your skills in this field of programming language