{"id":3294,"date":"2022-04-13T07:28:58","date_gmt":"2022-04-13T07:28:58","guid":{"rendered":"https:\/\/blog.shooliniuniversity.com\/?p=3294"},"modified":"2023-02-17T07:33:46","modified_gmt":"2023-02-17T07:33:46","slug":"how-to-build-a-career-in-data-science","status":"publish","type":"post","link":"https:\/\/shooliniuniversity.com\/blog\/how-to-build-a-career-in-data-science\/","title":{"rendered":"How to Build a Career in Data Science"},"content":{"rendered":"\n

Data science<\/a> has now become a revolutionary technology. Due to lucrative benefits, it is among the most popular career options.<\/p>\n\n\n\n

Apart from being a popular career option, it is also intellectually challenging, and analytically satisfying. Data scientists are high in demand and this is the reason more and more people are inclined towards making a career in data science. In this blog, you will know how to build a career in data science. Along with this, we will also talk about the skills required to make a successful career in data science.<\/p>\n\n\n\n

What is Data Science?<\/strong><\/h2>\n\n\n\n

Data Science is a course that includes the practice of data usage to try to understand and then solve real-world problems. To build predictive models, data science uses complex machine learning algorithms.<\/p>\n\n\n\n

It uses theories and techniques picked up from various fields within the context of statistics, mathematics, information science, computer science, and domain knowledge.<\/p>\n\n\n\n

Who is a Data Scientist?<\/strong><\/h2>\n\n\n\n

A person who completes a degree in data science is known as a data scientist. Their work is to determine the questions their team might ask and then figure out how those questions can be answered using data. They are also responsible for developing data models for forecasting and theory building.<\/p>\n\n\n\n

Is Data Science a Good Career?<\/strong><\/h2>\n\n\n\n

Yes, data science is a good career with tremendous job opportunities. It has also been labelled as \u001cthe most promising career<\/em><\/strong>\u001d by LinkedIn.<\/p>\n\n\n\n

There are several factors responsible for deciding if a particular career is good or not. Here are those factors which make data science a good career.<\/p>\n\n\n\n

High in demand<\/strong><\/h3>\n\n\n\n

Data scientists are high in demand. It is known to be the fastest-growing job on LinkedIn and is expected & predicted to create approximately 11.5 million jobs by 2026. Thus, it is true to say that data science is a highly employable job sector.<\/p>\n\n\n\n

Lucrative career option<\/strong><\/h3>\n\n\n\n

This career is among the most highly paid jobs. As per Glassdoor<\/a>, data scientists make an average of $116,100 annually. This makes this career a highly lucrative career option.<\/p>\n\n\n\n

Abundance of positions<\/strong><\/h3>\n\n\n\n

The field of data science requires a diverse set of skills to be successful in this career. And only limited people acquire this skill-set. In lieu of this, there is an extremely low supply of data scientists to fill in the positions.<\/p>\n\n\n\n

This is the reason data science is a less saturated sector as compared to other IT sectors. In nutshell, data science is a vastly abundant field and has numerous opportunities.<\/p>\n\n\n\n

Data scientist makes data better<\/strong><\/h3>\n\n\n\n

Every company or organisation require skilled data scientists. They not only help to analyse and process their data, but also improve its quality.<\/p>\n\n\n\n

Data science makes products better<\/strong><\/h3>\n\n\n\n

The field of data science involves the use of machine learning which enables industries to produce better products.<\/p>\n\n\n\n

Roles and responsibilities of a Data Scientist<\/strong><\/h2>\n\n\n\n

A data scientist performs various tasks on daily basis. These are:<\/p>\n\n\n\n