Data Science- A Splendid Career of 21st Century !

 

Today, Data Science as a career is creating a buzz all across the globe. It is the field that is fascinating almost every aspirant who wants to make an ambitious career in the field of analytics and data science. In this technology-driven era, data is like a fuel of the digital economy and the role of professionals in the field of data science will be pivotal in almost every enterprise. The career scope and future in the field of data science are splendid. Candidates who want to make career in this field should have an affinity for numbers, excellent mathematical acumen and sharp programming skills. This web article aims to impart valuable insights about Data Science career.   

What is Data Science?

Data Science encompasses multiple fields, including statistics, scientific methods, artificial intelligence (AI), and data analysis, to extract information from data. People who practice data science are called data scientists, and they use a range of skills to analyze data collected from the web, smartphones, customers, sensors, and other sources to derive valuable insights.

Data Science is a comprehensive field that including data analysis, cleansing, aggregating and manipulating the data. Analytic applications and data scientists review the results to uncover patterns that enable business leaders to make data-driven decisions.

Data Science Studies.

The Significance of Data Science in The Modern World:

·        There is a great significance of data science in the health care sector.   Due to Data Science medical images like MRIs, X-rays, Mammographers, etc. can be interpreted by computers. 

·        Data Science professionals play a major role in the Automation industry. Self-driving cars, Pilotless Aircraft Drones are the contribution of Data Science. 

·        There is use of Data Science in the Finance, Credit & Insurance Industry. Risk & fraud detection along with claim prediction, preventing a debt default, predicting future results; all of these can be sorted out by Data Science algorithms.

·        Proficiency in Microsoft Excel and Business Intelligence tools like Microsoft Power BI, Tableau.

Skills Required to Become Data Scientist:

·        Proficiency in programming languages like Python, Perl, C/C++, SQL, and Java.

·        Proficiency in SAS and other analytical tools like SAS, Hadoop, Spark, Hive, Pig, and R are the most popular data analytical tools.

·        Some of the other skills required are Machine Learning, Artificial intelligence, Deep learning, Probability & Statistics.

Different Job Profiles in The Field of Data Science:

Data Scientist, Machine Learning Engineer, Machine Learning Scientist, Applications Architect, Enterprise Architect, Data Architect, Infrastructure Architect, Data Engineer, Business Intelligence (BI) Developer, Statistician, Data Analyst.   


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