9 Must Have Skills You Need To Become a Data Scientist

Data science has four principal components: statistics, machine learning, programming, and domain expertise. To become a successful data scientist, you need to understand what each of these components are, what are the most essential skills you can hold and what are the tools or technologies you need to know.

In this article, we will discuss the skills that you must have in order to become a successful data scientist.

TECHNICAL SKILLS: ANALYTICS

Education – Data scientists are extremely educated – 88% have Master’s degree at least and 46% have PhDs – and while there are important exceptions, a very solid educational background is usually needed to develop the depth of knowledge needed to be a data scientist. Their most common fields of study are Mathematics and Statistics (32%), followed by Engineering (16%) and Computer Science (19%)

SAS and/or R- Comprehensive knowledge of at least one of these analytical tools, for data science R is usually preferred. To get in-depth knowledge of one these analytical tools, join Data science training in Noida.

TECHNICAL SKILLS: COMPUTER SCIENCE

Python Coding – Python is the most popular coding language needed in data science roles, along with Perl, Java or C/C++.

Hadoop Platform – Though, this isn’t always a necessity, it is heavily favored in many cases. Having experience with Hive or Pig is also a great selling point. Familiarity with cloud tools such as Amazon S3 can also be helpful.

SQL Database/Coding – Even though NoSQL and Hadoop have become a huge component of data science, it is still required that a candidate will be able to write and execute complex queries in SQL.

Unstructured data – It is important that a data scientist be able to work with unstructured data, whether it is from social media, video feeds or audio.

You can learn all these technical skills by joining data science training in Delhi

NON-TECHNICAL SKILLS

Intellectual curiosity – No doubt you’ve seen this phrase everywhere lately, especially as it correlates to data scientists. Frank Lo expresses what it means, and talks about other necessary "soft skills" in his guest blog posted a few months ago.

Must Read: 4 Things You Need To Know About Data Science

Business Acumen – To be a data scientist you’ll require a solid knowledge of the industry you’re operating in, and know what business difficulties your company is trying to solve. In terms of data science, being ready to discern which problems are necessary to solve for the business is critical, an extension to identifying new ways the business should be leverage its data.

Communication skills – Businesses searching for a powerful data scientist are seeing for someone who can openly and fluently change their technical decisions to a non-technical team, such as the Marketing or Sales businesses. A data scientist must permit the corporation to make judgments by providing them with quantified insights, an extension to understand the demands of their non-technical colleagues in order to wrangle the data properly.

Most importantly – Stay Current! Watch the next wave and keep yourself updated with the latest through training courses, like data science course in Noida, latest news, articles, and blogs.

Hi I am Rajeev Kumar a Professional Blogger and Writer. From Past 3 Years I have been sharing information related to technology, education, lifestyle, fashion, travel, health etc. Follow me on Facebook and Linkedin