Data Analyst VS Data Engineer VS Data Scientist

1. Data Analyst
Well, the definition of the data analyst is self-explanatory. Data analyst is a person who analysis the data irrespective of its types and translates it into the English language in order to make it explicable for everyone. Data analysis is done by the upper management that helps in making informed decisions for the business.

RESPONSIBILITIES OF A DATA ANALYST
The key responsibilities of a data analyst include data collection, correlation, analysis, and reporting.
2. Data Engineer
A data engineer is responsible to prepare the data for operational & analytical users. Data engineers basically are the ones who are responsible for developing, constructing, testing and maintaining the entire architecture of the large-scale processing system.
RESPONSIBILITIES OF A DATA ENGINEER
Key responsibilities of a data engineer include the creation of a data pipeline in order to pull out all the information in one place from various sources. After this process data engineers integrate & consolidate the data in order to get the clean and structured data for more analytic purposes.
• Data Scientist
The data scientist is a person who analysis and interprets complex digital data like statistics of a website. A data scientist is an expert who deals with a large amount of data whether it is structured or unstructured data. Data scientists use their skills in several fields like math, statistics, programming and machine learning.
RESPONSIBILITIES OF A DATA SCIENTIST
Data scientists are the ones who are highly responsive to take decisions related to business.
What prerequisites are required to become a data analyst, data engineer and data scientist?

• DATA ANALYST
If you are interested to become a data analyst then firstly you have to pursue a degree in bachelor's, you must be good with technical skills. One must know how to do data handling, cleaning, and modeling. Along with all these skills, he/she must also be good in business & reporting skills.
• DATA ENGINEER
Data engineers must know how to create and integrate the APIs and should be familiar with the entire machine learning algorithms comprehensively. They also need to understand data pipeline and performance optimization.
• DATA SCIENTIST
Data scientists must be experts in predictive algorithms and advanced statistical analysis. They must be capable of solving the data-driven problems & data conditioning and along with this, they must know how to develop the operational models.
From the above-mentioned information it is very obvious that at present all these three have a major role to play in the field of various businesses or industries. If you too want to become a data analyst or data engineer or data scientist then all you need is comprehensive training.
SkyWebcom is one of the finest IT institutes of training that offers in-depth training in all these courses. The institute aids the trainees in order to enhance their knowledge and skills. Training at SkyWebcom is offered by highly qualified trainers who are well-experienced and they offer the training on the basis of live scenarios. SkyWebcom also gives 100% placement assistance in top companies.