Pursuing a Career as a Data Scientist
Tags: DataScienceCourse
Published: 2020-04-16 05:14:33

With an increase in the popularity of data science in various fields, the job opportunities for data scientists are increasing as well. Currently, data scientists are in-demand in every industry. In this article, we will be covering the duties of a data scientist and the benefits of becoming a data scientist.

What does a data scientist do?
Data scientists are experts in different mathematical concepts such as statistics and computer science. Some of them are considered to know data visualization, data analysis and data mining. Apart from this, they also tend to have other skills such as cloud computing and machine learning.

There are a variety of things that a data scientist does. But, the most common among them are doing things such as:
Collecting tons of unorganized data and performing specific operations to convert it to organized data.
Always being updated on skills and tools like sentiment analysis, deep learning, machine learning and much more.
Working with tools such as different programming languages like R, Python, and SAS.
Performing mathematical operations like statistical driven techniques on data.
They continuously search for patterns during the analysis of data. They also look for the latest trends in the market which can improve the performance of a business.
Apart from this, they are always in touch with IT specialists and business leaders to discuss the latest problems.

What tools does a data scientist use?
By far, we have known the duties of a data scientist in a business. Well, there are lots of tools that data scientists use to perform their operations. So, let us discuss some of the tools and methodologies that are used by them regularly.
Machine learning: This is one of the most important and widely used tools by data scientists. It involves using different algorithms and models.

Text Analysis: This operation involves extracting hidden meanings from unorganized text to generate business reports.
Pattern Recognition: This is a methodology that allows data scientists to extract hidden patterns from unorganized data.
Data Visualization: This is a process of presenting all of the structured data in a graphical format which is easy to comprehend.
Benefits of becoming a data scientist
It’s considered one the most trending jobs of this century. Almost every professional field is in search of a data scientist. A data scientist plays a crucial role in every industry that exists.
Data scientists are known for their freedom at work. They are always free to choose the projects that they want to work on by using the required tools. 
The most cherished advantage of being a data scientist is their high income. Data scientists are considered one of the highly paid developers in the IT industry.
Data scientists are always in demand. This means that a data scientist doesn’t have to be jobless as there are tons of opportunities that are always available for them in every industry.

How can you start your career as a data scientist?
Pursuing a career as a data scientist can be highly rewarding. There are always opportunities waiting for you. So, the best way to start is by building a strong base in machine learning and mathematical concepts such as statistics. Apart from that, it’s required to learn different programming languages like Python and R. So, it’s best to begin by applying for an online boot camp or a college course.

For more info : https://www.excelr.com/data-science-course-training