Thursday, August 18, 2016

How To Become a Data Scientist?



Being a data scientist may not be everyone’s cup of tea, but if you have a background in statistics and know a bit of programming then you can gather a few more in demand skills to get relevant for such jobs. In this article, we will share a handful of useful tips for making a career in Big Data Analytics from our SAS trainer at Techtree India.

How to catch the big employer’s attention in the Big Data industry?

The current state of the Information technology industry is such that Big Data skills are necessary almost in every realm. The basic job role involves data collection, warehousing, analysis and decision making based on the analysis.

The skills most employers search for in an aspiring candidate’s resume are –

  • Understanding of various programming languages 
  • Proficiency in mathematics and statistical modelling 
  • Experience in tools like SAS, R programming and SPSS

A growing trend in the data analytics industry is the demand for skills in R programming. It is an open source analytical tool and the community around R is expanding a great pace. One can use R programming for manipulation of data and analysis.

Organizations that use data science and analysis often ask for the following skills:

 - Programming capabilities 
 - Idea of deep learning libraries 
 - Proficiency in data visualization 
 - Expertise in Big Data tools and infrastructure 
 - Ability to understand business intelligence platforms 
 - Good soft skills like communication and a general enthusiasm about dealing with data and algorithms

What is the current scenario of Big Data analytics in India in 2016?

Businesses around the globe are increasingly becoming more data driven and the need to extract insights from unstructured data is increasingly rapidly. Thus, this will definitely push up the demands for professionals working with the Big Data analysis. As per Gartner, the business intelligence market will reach to USD 213.8 million by 2017. Compared to the 2015 reports on spending this will be an 18.6 percent hike.

Fortunately for aspiring data scientist in India, our nation is one of the top 10 in Big Data Analytics industry in the world. Industry experts predict that by 2025, this industry is likely to grow by 8 folds and reach USD 16 billion in India itself. Thus, the demand for people with Big Data skills is expected to witness an exponential amount of growth. Most businesses are hiring data storage, retrieval and analysis personnel aggressively to stay ahead of their competition with insights from data. Thus, it is evident that business intelligence will be one of the fastest growing industries in India.

The top 5 data mining techniques you must know:


With data mining analysts are able to simplify and summarise data, so, that it is easier to understand data and derive conclusions. After mining it becomes easier for data analysts to draw trends, patterns and correlations after a detailed analysis on a specific case or instance. Such information will be highly helpful to companies for increasing their revenues and reducing the costs.

The main methods of data mining are – clustering, classification, prediction, path analysis or sequencing and association rule. More and more companies are using data mining along with pattern recognition, statistics and some other tools. This allows them to discover insights about their customers find solutions to business problems and make educated decisions for improvement of their business.

Can you be a data scientist?

To be a successful data scientist you must have a knack for solving problems. One should be proficient in testing hypotheses, defining problems, drawing out the relevant information and then analysing it. Hence, they should have a blend of creativity, analysis, business knowledge, mathematics and statistical understanding with a good grip on communicability.

To be a data scientist you must seek understanding through questioning and possess an amalgamation of technical and mathematical skills with expertise in diverse domains. If you possess the above mentioned skills then you can definitely succeed as a data scientist.

For a quality SAS training in Kolkata feel free to visit Techtree India to get industry ready.

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How To Become a Data Scientist?
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8 comments

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