Big Data

360DigiTMG – Data Science course in Delhi

In a research, it was found that Hadoop is the second most significant skill that a data scientist must have. A data scientist encounters a situation where the total volume of data exceeds the memory of the system or is required to deliver data to different servers.

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360DigiTMG – Data Science course in Delhi

Introduction

Data scientists are highly educated. There are some major requirements that should be fulfilled to become a good data scientist. In this article, I will discuss about those important requirements.

Technical requirements

A data scientist should have a proper technical knowledge to be efficient. There are different technical fields that are required to be covered. I am going to discuss about different technical grounds that are required to be a good data scientist. 

Get more details by clicking here 360DigiTMG – Data Science course in Delhi

Hadoop Platform:

In a research, it was found that Hadoop is the second most significant skill that a data scientist must have. A data scientist encounters a situation where the total volume of data exceeds the memory of the system or is required to deliver data to different servers. In these situations, Hadoop is mostly required. Hadoop can be used to send different data to different places on a system. Hadoop can be also be used for data filtration, data exploration, summarization and data sampling. 

SQL database:

SQL is designed to help the data scientist to access, communicate, and work on different data. It has commands which can help to save a lot of time and reduce the amount of coding that is required to perform different queries. 

Machine learning and AI:

 Machine learning is one of the most important skills that a data scientist should have. There are different fields under machine learning like decision trees, logistic regression and many more. These skills are required to solve complex problems of data science.

Non-technical requirements

There are many non-technical aspects that a data scientist should look forward to. 

Intellectual curiosity 

Is one of the major non-technical traits that a data scientist. Curiosity is the desire to gather more knowledge. Data scientist should have the ability to ask different questions about the data because data science is a domain which is evolving rapidly every day and they should keep up pace with it. A data scientist needs to update their knowledge each and every day by doing researches on different trending topics. Curiosity enables a data scientist to go through different data and find insights from it. 

Business acumen

 A  data scientist should have a proper understanding of that industry in which he is working in and should identify the problems that the company is pursuing to solve. Other than identifying the problems, a data scientist should also find new ways of leveraging the data. A data scientist should keep in mind how the solution of the problems is impacting the company.  

Programming languages 

Among all the programming languages, a data scientist should have a good knowledge of R programming and python. These two are the most popular languages used in data science. R programming can be used to solve different statistical problems in data science easily. Due to the versatility of the language, python can be used in all the areas that are involved in data science. Python can take different format of data and also can import different SQL tables in the code.

Resource Box

These requirements are very important to become a good data scientist. These requirements can be fulfilled by the data science courses offered by 360DigiTMG in Kuwait who provides dependable data science courses to candidates and provides a good foundation for them.  

Get more details by clicking here 360DigiTMG – Data Science course in Delhi

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