How to Break Into Data Science & Have a Great Career Shift

Data science is everywhere! We are using it every day in our lives. It is almost impossible to imagine the world without data! Additionally, it has become one of the hottest careers too. This realm of data is rapidly rising to greater prominence with its both structured and unstructured data. Here’s how you can have a taste of a great career shift:

Fever BUX
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On Apr 10, 2018
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Different Job Roles in Data Science

Before delving into this realm of data, you must have an understanding of the different roles.

The Data Scientist

It is one of the hottest job roles that you can ever have! Such is the value of this job title. The data scientist gets to work with a brilliant mindset of a curious data aficionado. He or she wear more hats than one can count! This is one of the most-sought-after profiles and highly wanted by the major companies!

The Data Analyst

This data wizard plays with languages such as Python, C, R, and SQL. The functionality of this role is tremendous and diverse! An ideal data analyst must always have a can-do attitude as it involves a wide range of possibilities.

The Data Architect

The importance of this role amongst the big data companies is increasing nowadays! The data architect is responsible for creating a blueprint for the data management system to maintain the data sources. He or she must have mastery in Hive, Spark, Pig, and every new innovation in the field of data science.

The Data Engineer

In the big data companies, the data engineer loves to play with large scale processing system and databases! He or she is an expert in mastering new technologies and knows about a wide range of languages. The data engineer wears more hats than one can even count!

The Business Analyst

This is one of the least technical profile in the data science industry. The business analyst must possess a deep understanding of the several business processes as he or she has to perform the position of the middleman between the business guys and the technical folks. Organizations like Uber, and Dell are the top recruiter for such role.

The Database Administrator

The database administrator makes sure the database is accessible to each and every stakeholder in the data analytics companies. He or she is also responsible for ensuring the essential safety measures are in place to keep up with the data. Additionally, he or she needs to have a mastery in several dynamic technologies such as SQL and XML (other than the usual programming language Java).

How to Prepare for A Career in Data Science?

The data aficionados must start by having a blended mix of the appropriate skills for data-related jobs. Start off your journey with a sound knowledge in any of this languages such as Java, R, or Python. When it comes to data science, the ideal candidate should represent a blend of two skills which is domain and business knowledge. As a matter of fact, the data scientist have deeper knowledge about programming techniques and the data analyst is are better in data analytical methodologies.

While applying for any of these roles in data science industry, you must know about what exactly the company is looking for. Additionally, having relatable business skillset and impeccable communication skill would serve you well for long time. Also, when you’re attending an interview, make sure to ask a lot of question about the role, so that you can showcase your strong points accordingly. Even those individuals who are not having any formal training in data science can transition with a little effort. Self-study is crucial for these kind of roles in data science industry.

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