Technical and Non-Technical Skills to Become a Data Scientist?


With Big Data taking over every industry across the globe, Data Scientists has also started gaining a good attention of the world. Whether it is to increase the customer retention, mine data for enhanced business opportunities or to deal with the process of product crop an expert data scientist can show any business the actual path to success.

This consistently increased demand for the Data Scientists has made it obvious for the employers to hire the best one. So here for those who are willing to be the Data Scientist expert, I am going to tell about the technical and non-technical skills required to become a Data Scientist:
If you are a potential data scientist then you can go with these skills and make your data science career shining.

Technical Skills required to become A successful Data Scientist:
Knowledge of data mining, process the bulk of data, big data processing, statistical analysis are some of the vital technical skills required to become a professional data scientist. Which ultimately means you should be good with maths, statistics and programming and to meet this you should have a glorious academic background.

Data scientist usually holds a master degree in computer science, Ph.D. or engineering degree and thus having a strong foundation to deal with core knowledge of data scientist.

One can even also join NPN Training's Hadoop certification training in Bangalore to make strong data scientist base. This will help you gain the complete understanding of the subject along with some live projects.

Other required technical skills to become a Data Scientist:
Programming:
Programming is a must for data scientists. One should have a thorough knowledge of V, C++, Python, Java, SQL, etc. However, you should be an expert of python as this what you will need the most. This programming language aids you with the organization of the data presented in the unstructured format.

Knowledge of analytical tools and SAS:
The better understanding of the analytical tools will help you to clean and organize the data sets. Hadoop, HIVE, SAS, PIG and R are must to become the data scientist and the certification in these analytical tools help you become the expert in the field.

Know how to handle the unstructured data:
When we focus on the ability to handle the unstructured data we want the entire data scientist to know that the vast amount of data they will be dealing with will be available in the unstructured format. This means you should know how to deal with every field from marketing to social media that are the major sources of unstructured data.

Non-technical Skills Required To Become A successful Data Scientist:
Apart from technical a data scientist should have these non-technical skills as well, to become a great professional.

Strong business sagacity:
In addition to all the mentioned technical skills, a strong business scene helps you take your company in the direction of growth.

Good communication skills: if you are the one having the best knowledge of Data handling, then you should know how to explain this to your team and a good communication skill is a must for that.
You can get the best Hadoop certification training in Bangalore at NPN Training and become the professional data scientist.

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